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• Tulsa Roughnecks x Orange County Blues

Tulsa Roughnecks - Orange County Blues 11.04.2026

• 11/04/26 20:00
• Tulsa Roughnecks
  • 0 : 1
  • Finished
  Orange County Blues

Summary Player Statistics

TUL

Match details

OC

1st Half 0:0

23 Tulsa Roughnecks

29 Orange County Blues

2nd Half 0:1

47 Orange County Blues

49 Orange County Blues

54 Orange County Blues

63 Tulsa Roughnecks

63 Tulsa Roughnecks

63 Tulsa Roughnecks

68 Tulsa Roughnecks

74 Tulsa Roughnecks

75 Orange County Blues

83 Tulsa Roughnecks

85 Orange County Blues

86 Tulsa Roughnecks

88 Tulsa Roughnecks

TUL

Statistics

OC

0.65

Expected goals (xG) Expected goals xG - measures the quality of a scoring chance and the probability of it becoming a goal. It's calculated from factors like shot location, angle, distance, assist type, and defensive pressure. Each shot gets a value from 0 to 1; a team's total xG is the sum of all its shots. A penalty is usually worth ~0.79–0.80. Higher xG = better chances, regardless of whether goals were actually scored.

0.81

68 %

Ball possession

32 %

1

Big chances Big chances - counts clear scoring opportunities where a goal is highly expected. These are situations like one-on-one with the goalkeeper, close-range shots with little defensive pressure, or shots into an open goal.

1

• 1.7 1.3 1.4
• Goals scored per match
• 1.2 1 1.2

• 0.3 1.3 0.7
• Goals conceded per match
• 0.6 1.7 0.8

• 49.5' 35.8' 48.6'
• Minutes/Goal scored
• 51.7' 34.4' 46.5'

Full Stats

TUL

H2H Stats

OC

All tournaments United Soccer League USL Championship 5 matches 10 matches 15 matches All matches 5 matches 5 matches 10 matches All matches

• 20% 1wins
• 20% 1draws
• 60% 3wins

More H2H

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Top Scorers

Tulsa Roughnecks

USA USL Championship

No data available

Orange County Blues

USA USL Championship

No data available

Predictions

As part of the USL Championship (USA) tournament, the match between teams Tulsa Roughnecks and Orange County Blues is scheduled. The game will start on 11.04 at 20:00. All sports bettors can follow in-depth Tulsa Roughnecks Orange County Blues betting tips using the subsequent analysis of teams' statistics and prediction for the match.

7 / 10 of last matches Tulsa Roughnecks in all competitions, at least one team did not score

7 / 10 of last matches Tulsa Roughnecks in USL Championship, at least one team has not scored

6 / 10 of the last matches between the teams, at least one of the teams did not score

5 / 10 of last matches Orange County Blues in all competitions, at least one team did not score

6 / 10 of last matches Orange County Blues in USL Championship, at least one team has not scored

1 / 10 of her last matches Tulsa Roughnecks in all competitions ended in defeat

More predictions

TUL

Standings

OC

USA USL Championship

#	Group Eastern Conference	GP	W	D	L	G	GD	P
1	Tampa Bay Rowdies	11	8	3	0	19:5	14	27
2	Indy Eleven	10	5	3	2	16:11	5	18

#	Group Western Conference	GP	W	D	L	G	GD	P
1	San Antonio Texas	12	5	6	1	18:14	4	21
2	Orange County Blues	11	5	4	2	14:10	4	19
3	Phoenix Rising	11	4	4	3	15:12	3	16
4	Oakland Roots	11	4	4	3	18:16	2	16
5	Tulsa Roughnecks	10	4	4	2	13:9	4	16
6	El Paso Locomotive FC	10	4	2	4	21:20	1	14

Full Standings

Player Statistics

Overall Tulsa Roughnecks Orange County Blues

Overview

Shots

Attack

Defending

Goalkeeping

Overview

Player	Grade	Minutes played	Goals	xG	Assists	xA	Total shots	Passes	Yellow cards	Red cards
Tubbs G. Defender	7.7	90	-	-	-	0.01	-	9/15(60%)	-	-
Kocevski J. Midfielder	7.2	90	-	0.04	-	0.14	1	58/64(91%)	-	-
Palomino M. Midfielder	7.1	45	-	0.08	-	-	2	11/14(79%)	1	-
Rando A. Goalkeeper	7	90	-	-	-	-	-	9/31(29%)	-	-
Zubak E. Forward	6.9	45	-	-	-	-	-	10/18(56%)	-	-
Sylla O. Midfielder	6.6	45	-	-	-	0.01	-	13/14(93%)	-	-
Brewitt T. Defender	6.4	90	-	-	-	-	-	10/18(56%)	-	-
Cabral R. Midfielder	6.3	25	-	-	-	-	-	3/4(75%)	-	-
Hegardt C. Midfielder	6.3	76	-	-	-	-	-	17/18(94%)	-	-
Pierre D. Defender	6.3	87	-	-	-	-	-	51/55(93%)	1	-
Bazini Y. Midfielder	6.2	45	-	-	-	-	-	3/7(43%)	-	-
ElMedkhar K. Midfielder	5.8	65	-	-	-	-	-	7/8(88%)	-	-
Cissoko A. Defender	-	3	-	-	-	-	-	5/5(100%)	-	-
Doody G. Defender	-	4	-	-	-	-	-	-	-	-

xG - measures the quality of a scoring chance and the probability of it becoming a goal. It’s calculated from factors like shot location, angle, distance, assist type, and defensive pressure. Each shot gets a value from 0 to 1; a team’s total xG is the sum of all its shots. A penalty is usually worth ~0.79–0.80. Higher xG = better chances, regardless of whether goals were actually scored.

xA - measures the likelihood that a completed pass will become an assist for a goal. It evaluates the quality of the pass based on factors like its placement, trajectory, speed, the receiver’s position, defensive pressure, and the overall attacking context. Each key pass receives a value between 0 and 1; a player’s or team’s total xA is the sum of these values. Higher xA indicates better chance creation, even if the subsequent shot is missed or saved.

Shots

Player	Total shots	Shots on target	xGOT	Shots off target	Blocked shots	Shots header	Shots inside the Box	Shots outside the Box
Palomino M. Midfielder	2	1	0.04	1	-	-	-	2
Kocevski J. Midfielder	1	-	-	-	1	-	-	1
Bazini Y. Midfielder	-	-	-	-	-	-	-	-
Brewitt T. Defender	-	-	-	-	-	-	-	-
Cabral R. Midfielder	-	-	-	-	-	-	-	-
Cissoko A. Defender	-	-	-	-	-	-	-	-
Doody G. Defender	-	-	-	-	-	-	-	-
ElMedkhar K. Midfielder	-	-	-	-	-	-	-	-
Hegardt C. Midfielder	-	-	-	-	-	-	-	-
Pierre D. Defender	-	-	-	-	-	-	-	-
Rando A. Goalkeeper	-	-	-	-	-	-	-	-
Sylla O. Midfielder	-	-	-	-	-	-	-	-
Tubbs G. Defender	-	-	-	-	-	-	-	-
Zubak E. Forward	-	-	-	-	-	-	-	-

xGOT - measures the likelihood that a shot on target results in a goal. Unlike xG (which evaluates the chance before the shot), xGOT assesses execution — shot placement, goalkeeper position, etc. — after the ball is struck. Only shots on target are included, each valued 0–1. A team’s total xGOT is the sum of all its on-target shots.

Attack

Player	Touches in the opposition Box	Passes	Big chances created	Big chances missed	Assists	xA	Passes in final third	Touches	Passes long	Crosses	Successful dribbles	Fouled	Offsides
Bazini Y. Midfielder	2	3/7(43%)	-	-	-	-	1/2(50%)	17	-	-	1/2(50%)	1	-
Brewitt T. Defender	2	10/18(56%)	-	-	-	-	1/5(20%)	24	2/7(29%)	-	-	-	-
ElMedkhar K. Midfielder	1	7/8(88%)	-	-	-	-	-	14	-	-	1/1(100%)	-	-
Tubbs G. Defender	1	9/15(60%)	-	-	-	0.01	3/6(50%)	36	3/7(43%)	-	-	2	-
Zubak E. Forward	1	10/18(56%)	-	-	-	-	1/6(17%)	21	1/1(100%)	-	-	-	-
Cabral R. Midfielder	-	3/4(75%)	-	-	-	-	-	5	-	-	-	-	-
Cissoko A. Defender	-	5/5(100%)	-	-	-	-	1/1(100%)	5	-	-	-	-	-
Doody G. Defender	-	-	-	-	-	-	-	3	-	-	-	-	-
Hegardt C. Midfielder	-	17/18(94%)	-	-	-	-	3/3(100%)	30	-	-	-	2	-
Kocevski J. Midfielder	-	58/64(91%)	-	-	-	0.14	14/17(82%)	71	4/5(80%)	-	1/1(100%)	1	-
Palomino M. Midfielder	-	11/14(79%)	-	-	-	-	2/4(50%)	25	-	-	-	3	-
Pierre D. Defender	-	51/55(93%)	-	-	-	-	-	64	1/3(33%)	-	-	1	-
Rando A. Goalkeeper	-	9/31(29%)	-	-	-	-	-	41	9/31(29%)	-	-	1	-
Sylla O. Midfielder	-	13/14(93%)	-	-	-	0.01	7/8(88%)	24	1/1(100%)	-	1/4(25%)	3	-

xA - measures the likelihood that a completed pass will become an assist for a goal. It evaluates the quality of the pass based on factors like its placement, trajectory, speed, the receiver’s position, defensive pressure, and the overall attacking context. Each key pass receives a value between 0 and 1; a player’s or team’s total xA is the sum of these values. Higher xA indicates better chance creation, even if the subsequent shot is missed or saved.

Defending

Player	Duels	Aerial duels	Ground duels	Foules	Tackles	Interceptions	Clearances	Error leading to goal	Error leading to shot	Own goals
Tubbs G. Defender	11	3/6(50%)	4/5(80%)	-	1/2(50%)	3	10	-	-	-
Bazini Y. Midfielder	9	-	4/6(67%)	-	1/2(50%)	1	-	-	-	-
Palomino M. Midfielder	9	1/2(50%)	5/7(71%)	1	2/2(100%)	-	-	-	-	-
Zubak E. Forward	9	4/8(50%)	-	-	-	-	1	-	-	-
ElMedkhar K. Midfielder	8	1/4(25%)	1/4(25%)	2	-	-	1	-	-	-
Hegardt C. Midfielder	8	-	4/6(67%)	1	1/2(50%)	-	-	-	-	-
Kocevski J. Midfielder	8	1/3(33%)	3/5(60%)	1	1/1(100%)	-	1	-	-	-
Brewitt T. Defender	7	3/6(50%)	-	1	-	1	4	-	-	-
Sylla O. Midfielder	7	-	5/7(71%)	-	1/1(100%)	-	-	-	-	-
Pierre D. Defender	5	2/2(100%)	1/3(33%)	1	-	1	6	-	-	-
Cabral R. Midfielder	2	-	-	1	-	-	-	-	-	-
Doody G. Defender	1	-	1/1(100%)	-	1/1(100%)	-	2	-	-	-
Rando A. Goalkeeper	1	1/1(100%)	1/1(100%)	-	-	-	1	-	-	-
Cissoko A. Defender	-	-	-	-	-	-	-	-	-	-

Goalkeeping

Player	Goals prevented	Goalkeeper saves	xGOT faced	Goals Conceded	Punches	Throws	Sweeper keeper actions
Rando A. Goalkeeper	0.27	3	0.27	-	1	4	-

Goals prevented - measures how many goals a goalkeeper saved compared to expectation. It is calculated as the difference between xGOT Faced (the total post-shot expected goals of all on-target shots faced) and the actual number of goals conceded (excluding own goals). A higher positive value indicates the goalkeeper performed above average, preventing more goals than expected from the quality of shots faced. A negative value means more goals were conceded than the shots "deserved.

xGOT faced - total number of goals a goalkeeper would be expected to concede based on the volume and quality of on-target shots faced. Each shot’s quality is assessed using post-shot factors: placement, goalkeeper positioning, shot speed, etc. xGOT Faced for a team equals the opposing team’s total xGOT from shots on target. It serves as the benchmark for calculating Goals Prevented.