Ternana (Women) - AC Milan (Women) 17.05.2026
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17/05/26
09:00
|
Round 22
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- 1 : 0
- Finished
1.93
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.
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.
0.59
37
%
Ball possession
63
%
2
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.
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
10
Matches
1 - Wins
4 - Draws
5 - Losses
10
Matches
Wins - 4
Draws - 3
Losses - 3
-
50% 5/10
- Both team to score
-
3/10 30%
- 44%
- Ball possession
-
46%
- 9 0.9
- Goals scored per match
- 11 1.1
- 11.83 1.18
- xG (Expected Goals) per match
- 8.25 0.83
- 16 1.6
- Goals conceded per match
- 7 0.7
- 9.15 0.92
- Expected goals conceded (xCG) per match
- 9.9 0.99
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Predictions
As part of the Serie A, Women (Italy) tournament, the match between teams Ternana (Women) and AC Milan (Women) is scheduled. The game will start on 17.05 at 09:00. All sports bettors can follow in-depth Ternana (Women) AC Milan (Women) betting tips using the subsequent analysis of teams' statistics and prediction for the match.
5 / 10 of last matches in all competitions Ternana (Women) did not lose
5 / 10 of last matches in Serie A, Women Ternana (Women) did not lose
5 / 10 of last matches Ternana (Women) in all competitions, at least one team did not score
5 / 10 of last matches Ternana (Women) in Serie A, Women, at least one team has not scored
| # | Team | GP | W | D | L | G | GD | P |
|---|---|---|---|---|---|---|---|---|
| 5 | 22 | 10 | 3 | 9 | 31:30 | 1 | 33 | |
| 6 | 22 | 9 | 5 | 8 | 31:26 | 5 | 32 | |
| 7 | 22 | 8 | 8 | 6 | 30:25 | 5 | 32 | |
| 9 | 22 | 4 | 6 | 12 | 17:34 | -17 | 18 | |
| 10 | 22 | 4 | 5 | 13 | 19:40 | -21 | 17 | |
| 11 | 22 | 2 | 10 | 10 | 16:31 | -15 | 16 |
Player Statistics
Overview
Shots
Attack
Defending
Goalkeeping
Overview
| Player | Grade | Minutes played | Goals | xG | Assists | xA | Total shots | Passes | Yellow cards | Red cards |
|---|---|---|---|---|---|---|---|---|---|---|
Koivisto E.
Midfielder
|
7.1 | 90 | - | - | - | 0.02 | - | 51/62(82%) | 1 | - |
|
Kamczyk E.
Forward
|
6.4 | 60 | - | - | - | 0.01 | - | 16/23(70%) | - | - |
|
Sesay M.
Midfielder
|
- | 9 | - | - | - | - | - | 4/5(80%) | - | - |
|
Soo-Jeong P.
Forward
|
- | 9 | - | - | - | - | - | 4/4(100%) | - | - |
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 |
|---|---|---|---|---|---|---|---|---|
|
Kamczyk E.
Forward
|
- | - | - | - | - | - | - | - |
|
Koivisto E.
Midfielder
|
- | - | - | - | - | - | - | - |
|
Sesay M.
Midfielder
|
- | - | - | - | - | - | - | - |
|
Soo-Jeong P.
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Kamczyk E.
Forward
|
1 | 16/23(70%) | - | - | - | 0.01 | 4/7(57%) | 33 | - | - | 1/1(100%) | - | - |
|
Koivisto E.
Midfielder
|
1 | 51/62(82%) | - | - | - | 0.02 | 10/15(67%) | 104 | 4/5(80%) | - | - | 2 | - |
|
Sesay M.
Midfielder
|
1 | 4/5(80%) | - | - | - | - | 2/3(67%) | 5 | - | - | - | - | - |
|
Soo-Jeong P.
Forward
|
1 | 4/4(100%) | - | - | - | - | 2/2(100%) | 8 | 1/1(100%) | - | 1/1(100%) | - | - |
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 |
|---|---|---|---|---|---|---|---|---|---|---|
|
Koivisto E.
Midfielder
|
16 | 2/3(67%) | 8/13(62%) | 1 | 5/6(83%) | 3 | 4 | - | - | - |
|
Kamczyk E.
Forward
|
3 | - | 2/3(67%) | 1 | 1/1(100%) | - | 3 | - | - | - |
|
Soo-Jeong P.
Forward
|
2 | - | 1/2(50%) | - | - | - | - | - | - | - |
|
Sesay M.
Midfielder
|
- | - | - | - | - | - | - | - | - | - |
Goalkeeping
| Player | Goals prevented | Goalkeeper saves | xGOT faced | Goals Conceded | Punches | Throws | Sweeper keeper actions |
|---|
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.
