Aggregated team performance data including expected goals, shots, possession, corners, and discipline stats.
| Team | League | MP | Goals | Avg xG | Shots/G | Poss% | Corners/G | Cards/G |
|---|---|---|---|---|---|---|---|---|
| Leyton Orient | League Two | 101 | 122 | 0 | 10.3 | 52% | 4.4 | 2.1 |
| Cheltenham Town | League Two | 129 | 162 | 0 | 11.2 | 48% | 4.5 | 1.5 |
Expected Goals (xG) is the single most important advanced metric in modern football analytics. It measures the quality of scoring chances by assigning each shot a probability of being scored, based on factors like distance, angle, assist type, and whether it was a header. A penalty is worth about 0.76 xG, while a long-range shot might be just 0.03.
The Avg xG column shows how many goals a team is expected to score per match based on their shot quality. Teams with high xG but lower actual goals are likely due a positive regression — they are creating chances but not converting them yet. The reverse (low xG, high goals) suggests a team overperforming that may regress. Read our detailed xG explainer for a deeper dive.
Shots per game indicates offensive intent — teams averaging 15+ shots are creating volume. But shots alone do not tell you about quality, which is why xG is the more reliable predictor. A team with 10 shots and 1.8 xG is more dangerous than one with 16 shots and 1.2 xG.
Possession (highlighted green above 55%) reflects control but not necessarily dominance. Some of Europe's best counter-attacking teams thrive on low possession. For betting, possession is most useful in predicting corner counts (high-possession teams win more) and tempo (high-possession games tend to be lower scoring).
The Cards/G column tracks total cards per match per team. This is useful for the cards/bookings market, which some bookmakers offer as over/under on total cards or total booking points. Teams with aggressive pressing styles or those frequently defending deep tend to commit more fouls and receive more cards. Cross-reference with form — teams on losing streaks often accumulate more cards from frustrated tackles. Check our corner data alongside cards, as set-piece-heavy teams with high card counts create chaotic matches ideal for Over bets.
| Plymouth Argyle | League Two | 3 | 3 | 0 | 3.7 | 23% | 2.7 | 0.3 |
| Crewe Alexandra | League Two | 137 | 178 | 0 | 11.3 | 50% | 4.9 | 2.2 |
| Barnet | League Two | 43 | 52 | 0 | 13.5 | 55% | 6.5 | 1.6 |
| Doncaster Rovers | League Two | 101 | 152 | 0 | 12.8 | 51% | 5.5 | 2 |
| Mansfield Town | League Two | 142 | 215 | 0 | 14.3 | 51% | 5.5 | 1.9 |
| Luton Town | League Two | 8 | 14 | — | 9.2 | 50% | 6.7 | 2.1 |
| Salford City | League Two | 231 | 312 | — | 12.7 | 52% | 4.6 | 2.3 |
| Bradford City | League Two | 188 | 228 | — | 12.3 | 50% | 4.8 | 2 |
| Shrewsbury Town | League Two | 37 | 37 | — | 11.7 | 43% | 4.1 | 2.4 |
| Forest Green Rovers | League Two | 140 | 178 | — | 12.4 | 51% | 5.4 | 1.9 |
| Wycombe Wanderers | League Two | 6 | 6 | — | 11.3 | 48% | 6.6 | 2 |
| Exeter City | League Two | 98 | 143 | — | 12.4 | 52% | 5.9 | 1.2 |
| Grimsby Town | League Two | 181 | 209 | — | 11.9 | 51% | 5.1 | 1.8 |
| Tranmere Rovers | League Two | 230 | 274 | — | 11.8 | 51% | 5 | 2 |
| Crawley Town | League Two | 195 | 253 | — | 12.2 | 52% | 4.9 | 2 |
| Oldham Athletic | League Two | 132 | 165 | — | 12.3 | 48% | 5.2 | 1.8 |
| Northampton Town | League Two | 52 | 65 | — | 11.3 | 49% | 4.5 | 2 |
| Bristol Rovers | League Two | 83 | 108 | — | 12.4 | 54% | 5.2 | 2.4 |
| Cambridge United | League Two | 87 | 130 | — | 11.6 | 50% | 4.9 | 1.4 |
| Rochdale | League Two | 46 | 51 | — | 12.3 | 53% | 5.6 | 1.1 |
| Chesterfield | League Two | 89 | 138 | — | 12.4 | 60% | 5.6 | 2 |
| Stockport County | League Two | 46 | 96 | — | 13.5 | 57% | 5.5 | 1.6 |
| Wrexham | League Two | 46 | 89 | — | 15.6 | 50% | 6.2 | 1.7 |
| Swindon Town | League Two | 186 | 300 | — | 13.3 | 55% | 5.4 | 1.9 |
| Bromley | League Two | 83 | 124 | — | 11.9 | 42% | 5.2 | 2 |
| AFC Wimbledon | League Two | 101 | 128 | — | 12.5 | 48% | 4.9 | 2.2 |
| Lincoln City | League Two | 6 | 8 | — | 11.3 | 54% | 6.8 | 1.8 |
| Gillingham | League Two | 128 | 130 | — | 12.1 | 49% | 4.9 | 2.3 |
| Sutton United | League Two | 94 | 132 | — | 12.1 | 44% | 4.8 | 1.7 |
| Hartlepool United | League Two | 48 | 46 | — | 10.6 | 51% | 4.5 | 1.3 |
| Fleetwood Town | League Two | 83 | 107 | — | 12 | 49% | 4.8 | 2.2 |
| Carlisle United | League Two | 138 | 141 | — | 12.8 | 49% | 5.2 | 2.1 |
| Milton Keynes Dons | League Two | 133 | 213 | — | 12.5 | 56% | 4.6 | 2 |
| Port Vale | League Two | 142 | 196 | — | 11.5 | 49% | 4.8 | 1.7 |
| Barrow | League Two | 220 | 246 | — | 11.3 | 47% | 4.8 | 2.1 |
| Harrogate Town | League Two | 223 | 246 | — | 11.5 | 48% | 4.6 | 1.5 |
| Accrington Stanley | League Two | 133 | 161 | — | 12.3 | 47% | 4.4 | 2.5 |
| Stevenage | League Two | 101 | 100 | — | 11.3 | 46% | 4.8 | 1.4 |
| Bolton Wanderers | League Two | 46 | 61 | — | 12.3 | 55% | 4.9 | 1.4 |
| Morecambe | League Two | 141 | 180 | — | 11.3 | 43% | 4.8 | 2.1 |
| Newport County | League Two | 242 | 296 | — | 11.5 | 48% | 4.2 | 1.7 |
| Colchester United | League Two | 241 | 280 | — | 11.4 | 50% | 4.7 | 2 |
| Walsall | League Two | 232 | 292 | — | 11.9 | 45% | 5.1 | 1.9 |
| Notts County | League Two | 132 | 216 | — | 12.5 | 61% | 5.3 | 2 |
| Scunthorpe United | League Two | 92 | 70 | — | 9 | 47% | 4 | 1.7 |
| Southend United | League Two | 46 | 29 | — | 9.2 | 47% | 3.9 | 1.8 |