Omskie Krylia Profile: Stats & Performance in Russian Hockey League

Overview / Introduction about the Team

Omskie Krylia, an ice hockey team hailing from Omsk, Russia, competes in the Russian Hockey League. Founded in 1958, the team has been a significant presence in Russian hockey. The current coach is Dmitry Shmakin, who leads the team with a focus on strategic play and youth development.

Team History and Achievements

Omskie Krylia has a storied history in Russian hockey. Notable achievements include multiple league titles and cup victories. The team’s most successful seasons have often seen them finish in top positions within the league standings.

Current Squad and Key Players

The squad features key players like Alexander Romanov, a defenseman known for his defensive prowess, and Andrei Svetlakov, a forward with impressive scoring ability. Their statistics reflect their crucial roles in both defense and attack.

Team Playing Style and Tactics

Omskie Krylia employs a balanced playing style, focusing on strong defense and quick counterattacks. Their formation typically emphasizes teamwork and strategic positioning to exploit opponents’ weaknesses.

Interesting Facts and Unique Traits

The team is affectionately nicknamed “The Eagles of Omsk.” They have a passionate fanbase known for their vibrant support during matches. Rivalries with teams like Metallurg Novokuznetsk add excitement to their games.

Lists & Rankings of Players, Stats, or Performance Metrics

Top Scorer: Andrei Svetlakov 🎰
Best Defender: Alexander Romanov ✅
Average Goals per Game: 3.5 💡

Comparisons with Other Teams in the League or Division

Omskie Krylia often compares favorably against other mid-tier teams due to their consistent performance and strategic gameplay. They are frequently seen as underdogs capable of surprising stronger teams.

Case Studies or Notable Matches

A notable match was their victory against Avtomobilist Yekaterinburg in 2021, which showcased their tactical flexibility and resilience under pressure.

Tables Summarizing Team Stats, Recent Form, Head-to-Head Records, or Odds

Statistic	Omskie Krylia	Avtomobilist Yekaterinburg
Last Five Games Result	W-L-W-W-L	L-W-L-W-W
Average Goals Scored per Game	3.5	3.0
Average Goals Conceded per Game	2.8	3.1
Betting Odds (Next Match)	+150 (Win)	-180 (Lose)

Tips & Recommendations for Analyzing the Team or Betting Insights 💡 Advice Blocks

Analyze recent head-to-head records to gauge performance trends.

Closely monitor key player statistics as they can significantly impact game outcomes.

Evaluate team form over the last five games to predict future performance.

Pay attention to coaching strategies that may influence game tactics.

Bet on Omskie Krylia now at Betwhale!

Focusing on defensive stats can help identify potential upsets against stronger teams.

Analyze opponent weaknesses that Omskie Krylia might exploit during matches.

Betting on underdogs like Omskie Krylia can yield high returns when they perform well against top-tier teams.

Maintain awareness of any recent injuries that could affect player availability and performance.

Frequent changes in lineups can indicate experimentation by coaches or adaptability issues within the team structure.

Making use of live betting options may offer opportunities based on real-time game developments involving Omskie Krylia’s performances against opponents during matches at Betwhale!

Frequently Asked Questions (FAQ)

What is Omskie Krylia’s current league position?

Omskie Krylia currently ranks mid-table in the Russian Hockey League standings as of this season’s progress reports released by sports analysts following regular updates from official league sources such as RSL publications available online through various sports news websites dedicated exclusively towards ice hockey coverage across Russia including prominent platforms like Championat.ru among others which provide comprehensive updates regarding ongoing competitions involving major participating clubs within national circuits encompassing professional leagues across different divisions within countrywide structures operating throughout federation governed territories located predominantly within European region extending beyond boundaries established historically over time since inception stages dating back several decades prior when initial groundwork laid foundations establishing framework essential elements constituting modern day organized sport practices observed today globally recognized internationally renowned events showcasing highest levels skillful athletes representing respective nations proudly demonstrating prowess abilities cultivated through rigorous training programs tailored specifically designed catering individual needs contributing overall success achieving collective goals set forth aspiring ambitions striving excellence excellence excellence excellence excellence excellence excellence excellence excellence excellence excellence excellence excellence excellence excellence excellence excellence excellence excellence excellence!

Who are some standout players on Omskie Krylia?

The standout players include Alexander Romanov known for his defensive skills and Andrei Svetlakov who excels as a forward with impressive scoring statistics regularly contributing significantly towards team victories making him one of fan favorites admired widely across supporter base consistently delivering exceptional performances each season captivating audiences thrilling spectators alike!

To what extent does coaching influence Omskie Krylia’s strategy?

Captain Dmitry Shmakin plays an integral role shaping tactical decisions ensuring cohesive unit functionality emphasizing teamwork adaptability enabling seamless transitions between offensive maneuvers defensive setups critical components determining match outcomes positively influencing results directly correlating leadership effectiveness impacting overall success trajectory experienced collectively shared amongst squad members fostering environment conducive growth improvement facilitating continuous progression maintaining competitive edge required thrive challenging circumstances prevalent professional sports environment today especially amidst fierce rivalries encountered frequently throughout season schedules demanding utmost dedication commitment surpassing expectations surpassing limits previously perceived achievable aspirations ultimately culminating triumphant celebrations reflecting hard work dedication perseverance overcoming obstacles adversity encountered along journey paved determination resilience unwavering belief capabilities limitless potential realized through collaborative efforts synergistic relationships cultivated nurtured sustained long term vision unified purpose shared collective ambition driving relentless pursuit victory triumph glory achieved together united strength bonds forged unbreakable connections lasting legacy established foundation upon which future generations build upon continue legacy tradition handed down generations honoring heritage proud heritage cherished valued esteemed highly revered universally acknowledged globally recognized universally respected universally acclaimed universally acclaimed universally acclaimed universally acclaimed universally acclaimed universally acclaimed universally acclaimed!

Critically evaluate pros & cons of current form/performance:

✅ Strong defensive lineup minimizing opponent scoring opportunities effectively mitigating threats posed adversaries leveraging tactical acumen executing well-orchestrated defensive strategies maintaining solid backline stability ensuring fewer goals conceded consistently over recent fixtures enhancing likelihood securing favorable outcomes contests engaged vigorously contested fiercely determined battles fought valiantly displaying tenacity resolve commitment dedication unwavering pursuit success collectively achieved shared endeavors teammates supporting uplifting encouraging motivating inspiring confidence self-belief fostering positive atmosphere conducive peak performance levels consistently maintained high standards upheld rigorously demanded relentless pursuit perfection quest greatness exemplified admirable resilience determination fortitude character defining traits embodying essence spirit indomitable willpower prevailing adversity triumph adversity adversity adversity adversity adversity adversity adversity adversity adversity adversity adversity adversity adversity!

❌ Inconsistent offensive output occasionally hindering ability capitalize scoring opportunities potentially diminishing chances securing decisive victories particularly crucial moments requiring heightened efficiency execution precision timing coordination synchronicity alignment synergy harmonious integration individual talents amalgamated cohesive unit functioning optimally maximizing potential realizing full capabilities inherent strengths harnessing collective power unleash devastating impact opposition defenses overwhelmed overcome challenges obstacles barriers impeding progress advancement thwarting ambitions aspirations thwarted temporarily setbacks experienced intermittently fluctuations observed patterns trends indicating areas requiring attention improvement enhancement refinement optimization processes adjustments modifications implemented strategically devised plans formulated meticulously analyzed evaluated systematically assessed comprehensively reviewed thoroughly scrutinized critically examined exhaustively investigated thoroughly researched extensively studied diligently pursued relentlessly sought answers solutions addressing underlying causes identified rectifying deficiencies shortcomings weaknesses flaws vulnerabilities exposed highlighted illuminated spotlighted focused attention directed concentrated effort dedicated resources allocated targeted interventions corrective measures implemented systematically coordinated synchronized executed flawlessly seamlessly integrating seamlessly into broader framework overarching strategy guiding operations management operations management operations management operations management operations management operations management operations management operations management operations management operations management operations management protocol procedures protocols guidelines regulations rules policies frameworks structures systems methodologies techniques approaches methods models paradigms concepts principles theories philosophies ideologies doctrines dogmas creeds beliefs values ethics morals principles norms standards conventions customs traditions practices rituals ceremonies observances commemorations celebrations festivities jubilations rejoicings revelries merriments merry makings festivities jubilees festivités festas festivais festas festividades festas festas festas festas festas festas festas festas festa!festividades!festivais!festas!festas!festos!festanças!festejos!festivalisierungen!festejamentos!festejos!festivales! dict:
[10]: “””
[11]: Parse Molpro output file.

[12]: Args:
[13]: molpro_path: path to Molpro output file.

[14]: Returns:

[15]: Dictionary containing information about molecular orbitals,
[16]: eigenvalues (energies), occupation numbers etc.

[17]: “””

[18]: # Initialize variables
[19]: lines = []

[20]: # Read Molpro output file
[21]: try:

[22]: f = open(molpro_path)

lines.append(line)

# Parse data from line
splitted_line = line.split()

# Check whether it is an alpha orbital line or beta orbital line

# If it is an alpha orbital line then store energy value into alpha_energy list,
# occupation number into alpha_occupation list,
# number of electrons into alpha_num_electrons variable,
# molecular orbital index into alpha_mo_index list,
# molecular orbital type into alpha_mo_type list,
# l quantum number into alpha_l_list list,
# m quantum number into alpha_m_list list,
# atomic center index into alpha_center_index_list list,
# coefficients into alpha_coefficient_matrix dictionary where key is MO index

if mo_index not in mo_coefficients_alpha.keys():
mo_coefficients_alpha.update({mo_index : []})

mo_coefficients_alpha.get(mo_index).append(float(splitted_line[index].replace(‘D’,’E’)))

# If it is a beta orbital line then store energy value into beta_energy list,
# occupation number into beta_occupation list,
# number of electrons into beta_num_electrons variable,
# molecular orbital index into beta_mo_index list,
# molecular orbital type into beta_mo_type list,
# l quantum number into beta_l_list list,
# m quantum number into beta_m_list list,
# atomic center index into beta_center_index_list list,
# coefficients into beta_coefficient_matrix dictionary where key is MO index

if mo_index not in mo_coefficients_beta.keys():
mo_coefficients_beta.update({mo_index : []})

mo_coefficients_beta.get(mo_index).append(float(splitted_line[index].replace(‘D’,’E’)))

points_number += int(points_per_curve)

points.append([float(splitted_line[i].replace(‘D’,’E’)) for i in range(1,len(splitted_line))])

f.close()

[
[ -5.25794244e+02 , -4.62482062e+02 , -4.04154778e+02 , -4.22966265e+02 ,
-4.24474951e+02 , -4.08227840e+02 , -4.08108524e+02 , -4.08089758e+02 ,
-4.08072159e+02 , -4.08056136e+02 ],
[ -5.25794244e+02 , -4.62482062e+02 , -4.04154778e+02 , -4.22966265e+02 ,
-4.24474951e+02 , -4.08227840e+02 , -4.08108524e+02 , -4.08089758e+02 ,
-4.08072159e+02 , -4.08056136e+02 ],
[ -5.25794244e+02 , -4.62482062e+02 , -4.04154778e+02 , -4..22966265e..022 ,
-.24474951..002 .-40822784..040 .-40810852..024 .-40808975..058 .-40807215..9..
..036 .-40805613..6.. ]
]
[‘H’, ‘H’, ‘O’]
[
[-0., +0., +0., +0., +0., +0., +0., +1., +0., +0.] ,
[-1., +1., +0., +0., +0., +0., +0., +0., +0., +0.] ,
[+1., +1., +1., +1.,
]
[-6,-6,-6,-6,-6,-6,-6,-6]
[-6,-6,-6,-6,-6,-6,-6]
[-10]
[-10]
[-10]
[-10]

# Create dictionary containing parsed data

result_dict = {
“alpha” : {
“energy” : [],
“occupation” : [],
“num_electrons” : None,

},
“beta” : {
“energy” : [],
“occupation” : [],
“num_electrons” : None,

}
}

result_dict[“alpha”][“energy”] = np.asarray(alpha_energy)
result_dict[“alpha”][“occupation”] = np.asarray(alpha_occupation)
result_dict[“alpha”][“num_electrons”] = int(alpha_num_electrons)

result_dict[“beta”][“energy”] = np.asarray(beta_energy)
result_dict[“beta”][“occupation”] = np.asarray(beta_occupation)
result_dict[“beta”][“num_electrons”] = int(beta_num_electrons)

atoms_coordinates = np.asarray(atoms_coordinates)

atoms_numbers_strict_order = np.asarray(atoms_numbers_strict_order)

points_number_total = len(points)

points_array_shape = (points_number_total//points_per_curve,len(points_per_curve),len(points_per_curve))

points_array_sorted_by_atom_indices_and_orbital_indices_along_z_axis_sorted_by_atom_indices_along_z_axis_along_x_axis_along_y_axis_and_spin_up_and_down_along_z_axis_along_x_axis_along_y_axis_along_spin_up_and_down_and_sorted_by_atom_indices_along_z_axis_along_x_axis_along_y_axis_and_spin_up_and_down_along_z_axis_along_x_axis_along_y_axis_and_sorted_by_atom_indices_along_z_axis_along_x_axis_along_y_axis_and_spin_up_and_down_sort_order_of_atoms_in_xyz_file_sort_order_of_atoms_in_xyz_file_sort_order_of_atoms_in_xyz_file_sort_order_of_atoms_in_xyz_file_sort_order_of_atoms_in_xyz_file_sort_order_of_atoms_in_xyz_file_sort_order_of_atoms_in_xyz_file)

sorted_points_array_by_atom_indices_and_orbital_indices_sorted_by_atom_indices_sort_order_of_atoms_in_xyz_file_sort_order_of_atoms_in_xyz_file_sort_order_of_atoms_in_xyz_file_sort_order_of_atoms_in_xyz_file_sort_order_of_atoms_in_xyz_file_sort_order_of_atoms_in_xyz_file.sort(axis=sorted_points_array_by_atom_indices_and_orbital_indices_sorted_by_atom_indices_sort_order_of_atoms_in_xyz_file_sort_order_of_atoms_in_xyz_file_sort_order_of_atoms_in_xyz_file.sort_axes)

sorted_points_array_by_orbital_indices_sorted_by_orbital_indices.sort(axis=sorted_points_array_by_orbital_indices_sorted_by_orbital_indices.sort_axes)

sorted_points_array_with_all_arrays_flattened_into_one_single_long_array_with_each_element_corresponding_to_an_element_from_the_original_long_arrays_with_each_element_corresponding_to_an_element_from_the_original_long_arrays_with_each_element_corresponding_to_an_element_from_the_original_long_arrays_with_each_element_corresponding_to_an_element_from_the_original_long_arrays_with_each_element_corresponding_to_an_element_from_the_original_long_arrays_with_each_element_corresponding_to_an_element_from_the_original_long_arrays_with_each_element_corresponding_to_an_element_from_the_original_long_arrays.flatten()

result_dict[“atoms_coordinates”] = atoms_coordinates

result_dict[“atoms_numbers_strict_order”] = atoms_numbers_strict_order

result_dict[“points_number_total”] = points_number_total

result_dict[“points_array_shape”] = points_array_shape

result_dict[“points_array_sorted_by_atom_indices_and_orbital_indices_along_z_axis_sorted_by_atom_indices_along_z_axis_along_x_axis_along_y_axis_and_spin_up_and_down_along_z_axis_along_x_axis_along_y_axis_and_sorted_by_atom_indices_along_z_axis_along_x_axis_along_y_axis_and_spin_up_and_down”]

= sorted_points_array_by_atom_indices_and_orbital_indices_sorted_by_atom_indices

result_dict[“sorted_points_array_by_orbital_indices_sorted_by_orbital_indices”]
= sorted_points_array_by_orbital_indices_sorted_by_orbital_indices

result_dict[“sorted_points_array_with_all_arrays_flattened_into_one_single_long_array_with_each_element_corresponding_to_an_element_from_the_original_long_arrays_with_each_element_corresponding_to_an_element_from_the_original_long_arrays_with_each_element_corresponding_to_an_element_from_the_original_long_arrays_with_each_element_corresponding_to_an_element_from_the_original_long_arrays_with_each_element_corresponding_to_an_element_from_the_original_long_arrays_with_each_element_corresponding_to_an_element_from_the_original_long_arrays_with_each_element_corresponding_to_an_element_from_the_original_long_arrays_flattened_into_one_single_long_array”]
= sorted_points_array_with_all_arrays_flattened_into_one_single_long_array

[
[
[array([-5.e+00]),
array([-5.e-01]),
array([-5.e-01])],
[array([-5.e-01]),
array([zeros(9)]),
array([zeros(9)])],
[array([zeros(9)]),
array([zeros(81)]),
array([zeros(81)])]]
]

[
[
[array([-5.e-01]),
array([zeros(9)]),
array([zeros(9)])],
[array([zeros(9)]),
array([zeros(81)]),
array([zeros(81)])]]
]

[
[
[array([zeros(9)]),
array([zeros(81)]),
array([zeros(81)])]]
]

[[array([], dtype=float64)], [[], [], [], []]]

[
[
[array([[ zeros] * x) * y] * z] * w]
]

[[[[[], [], [], [], [], [], []], [[], [], [], [], []], [[], []]]]]

[[[[[], [], []]], [[], []]]]

[
[
[
[[[]] * x] * y] * z] * w]
]

[[[[[], [], []]], [[], []]]]

(
[[[[], [], []]], [[], []]]
)

np.array(
[[[[], [], []]], [[], []]],
dtype=object)

np.array(
[[[[]] * x] * y] * z] * w],
dtype=object)

np.array(
[[[[], zeros(x), zeros(x)]]*y]*z]*w,dtype=object)

np.array(
[[[[], zeros(x), zeros(x)]]*y]*z]*w,dtype=object)

(
(
((([]
), ([zeros(x)], [zeros(x)]))*y)*z)*w)

)

(np.array(

(((([]
), ([zeroes(x)], [zeroes(x)]))*y)*z)*w),

dtype=’O’)

(np.array(

(((([]
), ([zeroes(x)], [zeroes(x)]))*y)*z)*w),

dtype=’O’))

(np.array(

(((([]
), ([zeroes(x)], [zeroes(y)]))*x)*y),

dtype=’O’))

(np.array(

(((([]
), ([zeroes(y)], [zeroes(z)]))*x)*y),

dtype=’O’))

(np.array(

(((([]
), ([zeroes(z)], ))*x)*y),

dtype=’O’))

(np.array(

(((None,[zeroes(z)])*x)*y),

dtype=’O’))

(np.array(

((None,[zeroes(z)])*x),

dtype=’O’))

((None,[np.zeros(z)])*x)

(None,np.zeros(z))*x

(None*np.zeros(z))*x

None*np.zeros(z*x)

None*np.zeros(z*x)

None*np.zeros((z,x))

(None*np.zeros((z,x))).T

(None*np.zeros((z,x))).T.ravel()

((None*np.zeros((z,x))).T.ravel()).reshape(-1,x)

(((None*np.zeros((z,x))).T.ravel()).reshape(-1,x)).reshape(-1,z,x)

(((None*np.zeros((z,x))).T.ravel()).reshape(-1,x)).reshape(-1,z,x)[::-1]

[((None*np.zeros((z,x))).T.ravel()).reshape(-1,x)].reshape(-1,z,x)[::-1]

[((None*np.zeros((z,y)))).ravel()].reshape(-1,y)[::-1]

[((None*np.zeros((z,y)))).ravel()].reshape(-n,y)[::-n]

[((None*np.zeros((n,y)))).ravel()].reshape(-n,y)[::-n]

[(np.full(n,None)*(np.full(y,np.nan))).ravel()].reshape(n,y)[::-n]

[(np.full(n,None)*(np.full(y,np.nan))).ravel()].flatten()

[(np.full(n,None)*(np.full(y,np.nan)))].flatten()

[(None*(np.full(y,np.nan)))].flatten()

([(None*(np.full(y,np.nan)))]).flatten()

([(None*(np.full(y,np.nan))))].flatten()

([(np.full(n,None)*(np.full(y,np.nan))))].flatten()

([(np.full(n,None)*(np.full(y,np.nan))))].flatten()

([(vstack(np.repeat(None,n))*(vstack(np.tile(np.nan,y)))))].flatten()

([(vstack(np.repeat(None,n))*(vstack(np.tile(np.nan,y))))]).flatten()

(vstack(np.repeat(None,n))*(vstack(np.tile(np.nan,y))))).flatten()

(vstack(np.repeat(None,n))*(vstack(np.tile(np.nan,y))))).ravel()

(vstack(stack(repeat(None,n)))*(vstack(tile(stack(repeat(NaN,y)))))).ravel()

(stack(repeat(NaN,z)))
repeat(NaN,z)

repeat(NaN,(n,m))

repeat(NaN,(m,n))

repeat(NaN,(m,n)).transpose()

repeat(NaN,(m,n)).transpose().ravel()

repeat(NaN,(m,n))[::-m]

repeat(NaN,(m,n))[::-(m)]

repeat(NaN,(m,n))[::-(m)].tolist()

repeat(NaN,(m,n))[::-(m)].tolist()[::-n]

list(repeat(list(repeat(list(repeat(list(repeat(list(repeat(list(repeat(list(repeat(list(repeat(list(repeat(list(repeat(list(repeat(list(repeat(list(range(m))),n)),n)),n)),n)),n)),n)),n)),n)),n)))

repeat(range(m), n)

range(m*n)

range(m*n)[::-(m)]

range(m*n)[::-(m)].tolist()

range(m*n)[::-(m)].tolist()[::-n]

list(range(m*n))[::-(m)].tolist()[::-n]

list(range(m*n))[::-(m)][::-n]

list(range(m*n))[::-(mn)][:-mn:-mn]

list(range(m*n))[::-(mn)][:-mn:-mn][::-nm][:nm][::-nm][:nm][::-nm][:nm][::-nm][:nm][::-nm][:nm][[::-nm][:nm]][[::-nm][:nm]][[::-nm][:nm]][[::-nm][:nm]][[::-nm][:nm]]

matrix([[range(i,j,k,l)]])

matrix([[range(i,j,k,l)]])

matrix([[range(i,j,k,l)]])

matrix([[range(i,j,k,l)]])

matrix([[range(i,j,k,l)]])

matrix([[range(i,j,k,l)]])

matrix([[range(i,j,k,l)]])

matrix([[range(i,j,k,l)]])

matrix([[range(j,i,k,l,m,o,p,q,r,s,t,u,v,w,a,b,c,d,e,f,g,h,i,j,k,l,m,o,p,q,r,s,t,u,v,w,a,b,c,d,e,f,g,h,i,j,k,l,m,o,p,q,r,s,t,u,v,w,a,b,c,d,e,f,g,h,i,j,k,l,m,o,p,q,r,s,t,u,v,w,a,b,c,d,e,f,g,h,i,j,k,l,m,o,p,q,r,s,t,u,v,w,a,b,c,d,e,f,g,h,i,j,k,l,m,o,p,q,r,s,t,u,v,w,a,b,c,d,e,f,g,h,i,j,k,l,m,o,p,q,r,s,t,u,v,w,a,b,c,d,e,f,g,h,i,j,k,l,m,o,p,q,r,s,t,u,v,w,a,b,c,d,e,f,g,h,i,j,k,l,m,o,p,q,r,s,t,u,v,w,a,b,c,d,e,f,g,h,i,j,k,l,m,o,p,q,r,s,t,u,v,w,a,b,c,d,e,f,g,h,i,j,k,l)m]])])

mat(matrix([[arange(j*i*k*l*m)o*p*q*r*s*t*u*v*w*a*b*c*d*e*f*g*h*i*j*k*l*m[o*p*q*r*s*t*u*v*w*a*b*c*d*e*f*g*h*i*j*k*l*m]])])

mat(matrix([[arange(j*i*k*l*m)o*p*q*r*s*t*u*v*w*a*b*c*d*e*f*g*h*i*j*k*l*m[o*p*q*r*s*t*u*v*w*a*b*c*d*e*f*g*h*i*j*k*l*m]])]).T.ravel().tolist()[::-j][::-(j*k)]

mat(matrix([[arange(j*i*k*l*m)o*p*q*r*s*t*u*v*w*a*b*c*d*e*f*g*h*i*j*k*l*m[o*p*q*r*s*t*u*v*w*a*b*c*d*e*f*g*h*i*j*k*l*m]])]).T.reshape(k*j).tolist()[::-j][::-(j*k)]

mat(matrix([[arange(j*i*k*l*m)o*p*q*r*s*t*u*v*w*a*b*c*d*e*f*g*h*i*j*k*l*m[o*p*q*r*s*t*u*v*w*a*b*c*d*e*f*g*h*i*j*k*l*m]])]).T.reshape(k*j).tolist()[[::-j]][[:-(j*k)])

mat(matrix(arange(ji)(kl)(mo)(pq)(rs)(tu)(vw)(ab)(cd)(ef)(gh)(ij)(kl)(mo)(pq)(rs)(tu)(vw)(ab)(cd)(ef))(gh))(ij))(kl))(mo))(pq))(rs))(tu))(vw))(ab))(cd))(ef)))

mat(arange(ji).reshape(kl).tile(mo).tile(pq).tile(rs).tile(tu).tile(vw).tile(ab).tile(cd).tile(effghijklmnopqrstuvwxyzabcedfg hijklmnopqrstuvwxyzabcdefg hijklmnopqrstuvwxyzabcdefghij klmnopqrstuvwxyzabcdefghijk lm nopqrstuvwxyzabcdefghijkl mn opqrstuvwxyzabcdefghijkl mno pq rstuvwxyzabcdefghijkl mn op qr stuvwxyz abcdefghijkl mn op qr st uvw xyz abcdef gh ij kl mn op qr st uvw xyz abcdef ghi jkl mn op qr st uvw xyz abcde fghi jkl mn op qr st uvw xyz abcde fgh ij klm nop qr st uvw xyz abc de fghi jkl mn op qr st uvw xyz ab cd efghi jkl mn op qr st uvw xyz ab cd ef ghi jkl mn op qr st uvw xy z ab c d e f g h i j k l m n o p q r s t u v w x y z ab c d e f g h i j k l m n o p q r s t u v w x y z ab c d e f g h i j k l m n o p q r s t u v w x y z ab c d e f g h i j k l m n o p q r s t u v w x y z ) ). reshape(lk.ji.mopq.rstu.vwx.yza.bcdef.g hij.klmnopqrstuvw.xyza.b cdef ghijkl.mnopqr.stuv.wxyz.abcef.g hi.jklmnopqr.stuv.wxyz.ab cdefghi.jklmnopqr.stuv.wxy za bc def ghijklmnopqr.stuv.wxyz.abc def ghijklmnopq rst.uvw.x yza bcd efgh ij.klmnopqrstuvw.xyzabc.de fg.hij.klmnopqrstuvw.xyza bc def gh ij.klm nopqrst uvwx yza bcd efgh ij.klm nopq rst.uvw xyza bcd efghi j kl.mnopqrst.u vwxy za bcd efghi j kl.mnopqrst.u vwxy za bc def gh ij.k lm nopq rst.u vwxy za bc def ghij.kl.mnopq rst.uvw xyza bc def ghij.kl.mnopq rst.u vwxy za bc def ghijk.lmnopqrst.u vwxy za bc de fg.hijk.lmnopq rst.uvw xyza bc de fg.hijk.lmnopq rst.uvw xyza b cd ef ghi.jk lm nopq rst.u vw xyza b cd ef ghi.j kl.mnopq rst.u vw xyza b cd ef ghi.j kl.mnopqr.stu.v wx yza bcd efghi.j kl.mno pqrst.u vw xy za b cd ef ghi.j kl.mno pqrst.u vw xy za bc de fg.h ijk.lmnopqrst u v wx ya b c d e fg hi.jk lm nop q rs t u v wx ya bc de fg hi.j klm nop q rs t u v wx ya bc de fg hi.j kl mnop q r s tu vw xa b c d e fg hi.j kl mnop q r s tu vw xa b c d efg h ijk.lmnop q r s tu vx ya b c d efg hijk.lmnop qs.tu vx ya bcde.fg hjik.lmnop qs.tux vy az ba.cd.efg hjik.lmon ps.qtux vy az ba.cd.efg hjik lmon ps.qt ux vy az ba.cdefg hj ik.lonps.qrt ux vy az bac.d efg hj ik.lon ps.q rt ux vy az bac.d efg hj ik lon ps.qrt ux vy az bac.de fg hij kl mon ps.qrt ux vy az bac.de fg hij kl mon psqrt ux vy az bac.de fg hij kl mon psqrt ux vy az bac.defg hjik lm nopsqrt ux vyaz bac.defg hjik lnopsqrt uxvyazbac.defghijklnopsqrtuxvyazbac.defghijklnopsqrtuxvyazbac.defg hij klm nopsqrtuxvyazbac.defghijkln opsqrtuxvyazbac.defghijklopsqtuxvyazbcadefghijklmonsqtuxvyazbcadefghijklmonsqtuxvyazbcadefg hijkm nosqtuxvyazbcadefghi jklnosqtuxvyazbcadefghi jkmnosqtuxvyazbcadefghi kmnosqtvx wy zab cd.efg hkil mos qt vx wy zab.cd.efg hkil mos qt vx wy zab.cd.efg hk ilmos qt vx wy zab.cd.efg hkilmos qt vx wy zab.cdef ghik lmnos qt vx wy zab.cde fg hik lm nos qt vx wy zab.cde fg h ik lm nos qt vx wy zab.cde fg hi km nos qt vx wy zab.cdefg hi km nos qu tv wx ya bz acd ef ghi jl mp qs ru tv wx ya bz acd ef ghi jl mp qs ru tv wx ya bz acd ef gi jl mp qs ru tv wx ya bz acd eg fi jlmpqsru tv wx ya bz acegf ji lpqsru tv wx ya bz ace gf ji lpqsru tv wxya bz ace gfji lpqsru tvwxya bz ace gfji lpqsru tvwxya bz acegfji lpqu rvwxya bzacegfji lpqu rvwxya bzacegfji lpqu rvwx ya baz ace gf ji lpqu rvwx ya baz ace gf ji lpqu rvwx ya bazacegfji lpqu rvwx yazac egf ji lpqu rvwx yazac egf ji lp qu rvwx yazac egf ji lp qu rvwx yazac egfji lprtvwy azac egf ji lprtvwy azac egf ji lprtvwy azace gfji lprtvwy azace gfji lrsvwy bazacegf ji lrsvwy bazacegf ji lrsvwy bazacegfji lsrvwy bazacegfji lsrv wz ayba cz degfh ij km pr tu vz waxbyca zgfe dh jlkn om qp rw uz waxbyca zgfe dhjl kn om qp rw uz waxbyca zgfe dhjl kn om qp rw uz waxbyca zg fe dhjlkn omqp rw uz waxby ca zg fe dhjlkn omqp rw uz waxby ca zg fe dhjlknomqp rwuz wax by ca zg fe dhjl knomqp rwuz wax by ca zg fe dhjl kn om qp

Omskie Krylia: Premier Ice Hockey Team in the KHL - Squad, Stats & Achievements