• Football
• Leagues
• Italy
• Serie A, Women
• Juventus (Women) x AC Milan (Women)

Juventus (Women) - AC Milan (Women) 15.03.2026

• 15/03/26 09:00 |
  Round 16
• Juventus (Women)
  • 0 : 1
  • Finished
  AC Milan (Women)

Summary Player Statistics

JUV

Match details

ACM

1st Half 0:0

23 Juventus (Women)

25 AC Milan (Women)

45 + 4 Juventus (Women)

2nd Half 0:1

49 AC Milan (Women)

57 Juventus (Women)

71 AC Milan (Women)

75 Juventus (Women)

75 Juventus (Women)

78 AC Milan (Women)

86 AC Milan (Women)

86 AC Milan (Women)

90 + 7 AC Milan (Women)

JUV

Statistics

ACM

1.67

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.

0.61

51 %

Ball possession

49 %

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.

0

• 1.7 2.6 1.9
• Goals scored per match
• 1.9 1.3 1.2

• 0.9 1 0.8
• Goals conceded per match
• 1.6 1.6 1.4

• 34.6' 25' 33.3'
• Minutes/Goal scored
• 25.8' 31.2' 34.6'

Full Stats

JUV

H2H Stats

ACM

All tournaments Serie A, Women Coppa Italia, Women Supercoppa, Women 5 matches 10 matches 15 matches All matches 5 matches 10 matches 15 matches All matches 5 matches 5 matches

• 40% 2wins
• 20% 1draws
• 40% 2wins

More H2H

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Top Scorers

Juventus (Women)

Italy Serie A, Women

No data available

AC Milan (Women)

Italy Serie A, Women

No data available

Predictions

As part of the Serie A, Women (Italy) tournament, the match between teams Juventus (Women) and AC Milan (Women) is scheduled. The game will start on 15.03 at 09:00. All sports bettors can follow in-depth Juventus (Women) AC Milan (Women) betting tips using the subsequent analysis of teams' statistics and prediction for the match.

1 / 10 of her last matches Juventus (Women) in all competitions ended in defeat

1 / 10 of last matches Juventus (Women) in Serie A, Women ended in defeat

2 / 10 of the last matches between the teams ended in a victory Juventus (Women)

6 / 10 of last matches in all competitions AC Milan (Women) did not lose

6 / 10 of last matches in Serie A, Women AC Milan (Women) did not lose

6 / 10 of last matches Juventus (Women) in all tournaments ended with her victory

More predictions

JUV

Standings

ACM

Italy Serie A, Women

#	Team	GP	W	D	L	G	GD	P
2	Internazionale Milano (Women)	22	13	5	4	49:26	23	44
3	Juventus (Women)	22	11	6	5	33:19	14	39
4	Fiorentina (Women)	22	10	6	6	33:30	3	36
5	Lazio Rome (Women)	22	10	3	9	31:30	1	33
6	AC Milan (Women)	22	9	5	8	31:26	5	32
7	Napoli (Women)	22	8	8	6	30:25	5	32

Full Standings

Player Statistics

Overall Juventus (Women) AC Milan (Women)

Overview

Shots

Attack

Defending

Goalkeeping

Overview

Player	Grade	Minutes played	Goals	xG	Assists	xA	Total shots	Passes	Yellow cards	Red cards
Schatzer E. Midfielder	7.1	76	-	-	-	0.07	-	47/55(85%)	-	-
Walti L. Midfielder	6.7	90	-	-	-	0.16	-	33/40(83%)	-	-
Krumbiegel P. Midfielder	6.6	76	-	0.24	-	0.08	3	20/32(63%)	-	-
Thomas L. Forward	6.6	14	-	-	-	0.01	-	3/4(75%)	-	-
Vangsgaard A. Forward	6.6	33	-	0.16	-	0.01	2	4/10(40%)	-	-
Beccari C. Forward	6.5	90	-	0.06	-	0.03	1	19/25(76%)	-	-
Godo E. Midfielder	6.5	90	-	0.85	-	0.03	4	28/39(72%)	-	-
De Jong D. Goalkeeper	6.4	90	-	-	-	-	-	20/30(67%)	-	-
Pinto T. Midfielder	6.3	14	-	0.07	-	-	1	10/14(71%)	-	-
Kullberg E. Defender	6.1	67	-	-	-	0.02	-	24/33(73%)	-	-
Calligaris V. Defender	5.9	23	-	-	-	-	-	7/8(88%)	-	-
Salvai C. Defender	5.7	57	-	0.03	-	-	1	21/25(84%)	-	-
Harviken M. Defender	5.6	90	-	0.05	-	-	1	33/47(70%)	-	-
Carbonell Nunez E. Defender	5.4	90	-	-	-	0.07	-	30/44(68%)	-	-

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
Godo E. Midfielder	4	2	0.8	1	1	-	2	2
Krumbiegel P. Midfielder	3	1	0.04	1	1	-	2	1
Vangsgaard A. Forward	2	1	0.1	1	-	1	2	-
Beccari C. Forward	1	1	0.09	-	-	1	1	-
Harviken M. Defender	1	-	-	-	1	1	1	-
Pinto T. Midfielder	1	-	-	1	-	-	-	1
Salvai C. Defender	1	-	-	-	1	-	-	1
Calligaris V. Defender	-	-	-	-	-	-	-	-
Carbonell Nunez E. Defender	-	-	-	-	-	-	-	-
De Jong D. Goalkeeper	-	-	-	-	-	-	-	-
Kullberg E. Defender	-	-	-	-	-	-	-	-
Schatzer E. Midfielder	-	-	-	-	-	-	-	-
Thomas L. Forward	-	-	-	-	-	-	-	-
Walti L. Midfielder	-	-	-	-	-	-	-	-

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
Godo E. Midfielder	6	28/39(72%)	-	1	-	0.03	5/11(45%)	61	1/1(100%)	-	2/3(67%)	3	1
Beccari C. Forward	4	19/25(76%)	-	-	-	0.03	7/13(54%)	40	1/1(100%)	-	1/3(33%)	1	1
Vangsgaard A. Forward	4	4/10(40%)	-	-	-	0.01	1/5(20%)	18	-	-	-	-	1
Krumbiegel P. Midfielder	3	20/32(63%)	-	-	-	0.08	9/13(69%)	47	-	2/4(50%)	2/2(100%)	-	1
Harviken M. Defender	1	33/47(70%)	-	-	-	-	1/5(20%)	65	2/10(20%)	-	-	-	-
Thomas L. Forward	1	3/4(75%)	-	-	-	0.01	1/1(100%)	9	-	-	-	-	1
Calligaris V. Defender	-	7/8(88%)	-	-	-	-	-	11	1/1(100%)	-	-	-	-
Carbonell Nunez E. Defender	-	30/44(68%)	-	-	-	0.07	5/11(45%)	66	-	1/4(25%)	-	-	1
De Jong D. Goalkeeper	-	20/30(67%)	-	-	-	-	-	35	3/11(27%)	-	-	-	-
Kullberg E. Defender	-	24/33(73%)	-	-	-	0.02	7/9(78%)	47	3/7(43%)	-	-	1	-
Pinto T. Midfielder	-	10/14(71%)	-	-	-	-	1/3(33%)	18	1/2(50%)	-	-	-	-
Salvai C. Defender	-	21/25(84%)	-	-	-	-	-	30	1/4(25%)	-	-	-	-
Schatzer E. Midfielder	-	47/55(85%)	-	-	-	0.07	13/17(76%)	70	3/6(50%)	1/1(100%)	-	2	-
Walti L. Midfielder	-	33/40(83%)	-	-	-	0.16	8/9(89%)	50	2/4(50%)	1/1(100%)	-	1	-

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
Beccari C. Forward	14	-	5/13(38%)	1	2/3(67%)	-	-	-	-	-
Godo E. Midfielder	13	1/2(50%)	8/11(73%)	2	3/3(100%)	-	1	-	-	-
Carbonell Nunez E. Defender	8	-	1/8(13%)	2	1/1(100%)	2	-	-	-	-
Kullberg E. Defender	7	1/1(100%)	1/6(17%)	1	-	-	3	-	-	-
Vangsgaard A. Forward	7	1/2(50%)	2/5(40%)	2	2/2(100%)	-	-	-	-	-
Schatzer E. Midfielder	6	-	5/6(83%)	-	2/3(67%)	1	2	-	-	-
Krumbiegel P. Midfielder	4	-	3/4(75%)	1	1/1(100%)	-	-	-	-	-
Walti L. Midfielder	4	-	3/4(75%)	1	1/2(50%)	1	3	-	-	-
Harviken M. Defender	2	-	1/2(50%)	-	1/1(100%)	-	2	-	-	-
Pinto T. Midfielder	2	-	1/2(50%)	1	-	-	1	-	-	-
Salvai C. Defender	1	-	-	1	-	1	2	-	-	-
Thomas L. Forward	1	-	-	-	-	-	-	-	-	-
Calligaris V. Defender	-	-	-	-	-	-	1	-	-	-
De Jong D. Goalkeeper	-	-	-	-	-	-	-	-	-	-

Goalkeeping

Player	Goals prevented	Goalkeeper saves	xGOT faced	Goals Conceded	Punches	Throws	Sweeper keeper actions
De Jong D. Goalkeeper	-0.45	3	0.55	1	-	2	-

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.