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Model pick 2–1
Most likely scores
Why
The model expects Ipswich Town to score 1.70 goals: league home average 1.50 × Ipswich Town home attack 0.93 × Bournemouth away defence 1.22.
It expects Bournemouth to score 1.47 goals: league away average 1.20 × Bournemouth away attack 1.20 × Ipswich Town home defence 1.02.
Based on 4 home games for Ipswich Town, 4 away games for Bournemouth and 90 finished matches in the competition.
Attack above 1.00 means scoring more than the league average; defence above 1.00 means conceding more than average (weaker).
Most likely outcome: Ipswich Town (43%). This is an estimate, not a certainty.
Form & stats this competition season
| Ipswich Town | Bournemouth | |
|---|---|---|
| Table position | #14 · 11 pts | #8 · 12 pts |
| Last 5 (newest first) | DDLWL | WWWLL |
| Home W-D-L (goals) | 2-1-1 (5:5) | 2-2-1 (7:4) |
| Away W-D-L (goals) | 1-1-3 (9:13) | 1-1-2 (7:9) |
| Goals per game at home (for/against) | 1.25 / 1.25 | 1.40 / 0.80 |
| Goals per game away (for/against) | 1.80 / 2.60 | 1.75 / 2.25 |
| xG | n/a | n/a |
xG is not available from the current data source (football-data.org). Competition averages: 1.50 home and 1.20 away goals per match (90 finished matches).
Schedule, form & head-to-head
| Ipswich Town | Bournemouth | |
|---|---|---|
| Days since last match | 8 | 8 |
| Matches in last 14 days | 1 | 2 |
| Next match | +13 d: @ Tottenham (PL) | +13 d: vs Nottingham (PL) |
| Points per game, last 5 (all comps) | 1.00 | 1.80 |
| Clean sheets / failed to score (this comp) | 0 / 2 (9) | 3 / 1 (9) |
| Over 2.5 / both scored (this comp) | 6 / 7 (9) | 5 / 5 (9) |
Ipswich Town – recent matches, all competitions: D @ Hull City 2–2 · D vs Nottingham 1–1 · L @ Man City 2–3 · W vs Fulham 2–1 · L @ Everton 0–1 · W @ Crystal Palace 3–2
Bournemouth – recent matches, all competitions: W vs Leeds United 2–0 · W @ Man United 3–0 · W vs Sunderland 2–0 · L @ Chelsea 1–5 · L vs Liverpool 0–1 · D vs Brentford 2–2
Only the six tracked competitions count; domestic cups are not included.
Model assumptions & limitations
Assumptions
- Goals for each team follow independent Poisson distributions.
- Expected goals (λ) = league average home/away goals × attack strength × opponent defence strength.
- Strengths use only this competition and season: home form for the home side, away form for the away side. If either team has too few home/away games, overall form (all games) is used instead and this is stated in the explanation.
- Strengths are shrunk towards the league average when few games have been played.
- Predictions are for the score after regular time (90 minutes plus stoppage time).
- The model's tipped score is the one with the highest expected points under the game's scoring system, not necessarily the most likely single score.
Limitations
- No injuries, suspensions, line-ups, transfers, rotation or motivation are considered.
- No xG or shot data is used – the current data source does not provide it.
- Results in other competitions (e.g. domestic league for Champions League teams) are not included.
- Independent Poisson models tend to slightly underestimate draws.
- Probabilities are estimates with considerable uncertainty, not facts or guarantees.
More Premier League matches
- Everton vs Coventry City 6 Nov 20:00
- Leeds United vs Tottenham 7 Nov 12:30
- Fulham vs Newcastle 7 Nov 15:00
- Arsenal vs Hull City 7 Nov 15:00
- Nottingham vs Man City 7 Nov 17:30
- Crystal Palace vs Liverpool 8 Nov 14:00
- Sunderland vs Chelsea 8 Nov 14:00
- Brighton Hove vs Brentford 8 Nov 14:00
- Man United vs Aston Villa 8 Nov 16:30