Newcastle Jets
Next matches at the fair price, recent results next to what the market expected, and form over the last 10 matches.
A-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 |
|---|---|---|---|---|---|
| 49% 2.03 fair 2.05 | 24% 3.97 fair 4.18 | 27% 3.50 fair 3.67 | Value expired | ||
Recent results
what happened next to the market's view before kick-off| Time | Opponent | Score | Market gave this result |
|---|---|---|---|
| at Kyoto Sanga AFC Champions League Elite | L 2–5 | 68% | |
| vs Macarthur A-League | D 1–1 | 25% | |
| at Central Coast Mariners A-League | D 2–2 | 22% | |
| vs Gamba Osaka AFC Champions League Elite | L 1–3 | — | |
| at Kashima AFC Champions League Elite | L 1–7 | — | |
| vs Sydney A-League | D 1–1 (penalties) | — | |
| at Sydney A-League | D 1–1 | — | |
| vs Central Coast Mariners A-League | W 4–0 | — | |
| at Melbourne Victory A-League | D 2–2 | — | |
| vs Adelaide United A-League | D 1–1 | — |
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 | 1.6 | 2.0 | 1.8 |
| Goals conceded per match | 2.1 | 1.1 | 2.0 |
| Over 2.5 goals | 60% | 60% | 80% |
| Both teams scored | 90% | 80% | 90% |
| Clean sheets | 10% | 20% | 10% |
| Failed to score | 0% | 0% | 10% |
| xG for per match | 1.48 | 1.97 | 1.53 |
| xG against per match | 1.69 | 2.00 | 1.57 |
| Corners per match (for / against) | 5.6 / 5.2 | 5.4 / 4.7 | 5.1 / 5.5 |
| 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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