Kyoto Sanga
Next matches at the fair price, recent results next to what the market expected, and form over the last 10 matches.
J1 League · AFC Champions League Elite
Next matches
fair probability of each result and the best bookmaker priceHow to read the table: colours, symbols and price times
How to read: 45% = fair chance, margin removed · 2.10 = best bookmaker price · bold % = most likely
| Time | Match | 1 | X | 2 | Value |
|---|---|---|---|---|---|
| 36% 2.68 fair 2.80 | 29% 3.50 fair 3.42 | 35% 2.70 fair 2.85 | No value | ||
Recent results
what happened next to the market's view before kick-off| Time | Opponent | Score | Market gave this result |
|---|---|---|---|
| vs Newcastle Jets AFC Champions League Elite | W 5–2 | 68% | |
| at Gamba Osaka J1 League | D 2–2 | 24% | |
| vs Kashima J1 League | D 2–2 | 25% | |
| at Sanfrecce Hiroshima J1 League | L 0–3 | 71% | |
| vs Ratchaburi AFC Champions League Elite | W 1–0 | — | |
| vs Machida Zelvia J1 League | L 0–1 | 48% | |
| at Daejeon Citizen AFC Champions League Elite | L 0–1 | — | |
| at Kashiwa Reysol J1 League | W 1–0 | — | |
| vs Kashiwa Reysol J1 League | L 2–6 | — | |
| vs V-varen Nagasaki J1 League | W 1–0 | — |
Pinnacle closing price with the margin removed: the market's chance of the result that happened. A low number means the result was a surprise, not that anyone could have known. A dash means we did not price that match, or it went to extra time.
Form
last 10 matches, all competitions| Last 10 | Last 10 home | Last 10 away | |
|---|---|---|---|
| Goals scored per match | 0.9 | 1.4 | 0.6 |
| Goals conceded per match | 1.9 | 1.8 | 1.7 |
| Over 2.5 goals | 50% | 50% | 50% |
| Both teams scored | 30% | 60% | 30% |
| Clean sheets | 30% | 20% | 10% |
| Failed to score | 40% | 20% | 60% |
| xG for per match | 0.79 | 1.19 | 1.02 |
| xG against per match | 1.61 | 1.49 | 1.72 |
| Corners per match (for / against) | 3.9 / 5.5 | 5.3 / 6.8 | 3.9 / 5.3 |
| Matches (n) | 10 | 10 | 10 |
| Matches with xG | 8 | 8 | 9 |
| Matches with stats | 10 | 10 | 10 |
Form is context, not a forecast: the market already knows it. Each column counts that team's own last 10 matches of that kind (all, home, away), so the three columns cover different matches. n = matches counted; xG and corners only where API-Football has match stats.
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