Banker as favourites
9/10Arsenal won 9 of 10 as favourites (league 48%).
Premier League Predictions & Stats
Free AI predictions for every upcoming Premier League match — 1X2, Both Teams to Score, Over/Under goals and Correct Score probabilities.
Predictions updated on 4 November 2026.
Premier League Predictions by Market
Season 2026/2027 · Round 9 · Regular Season
Full-Time Result
42%
SUCCESS RATE AVG.
Both Teams To Score
51%
SUCCESS RATE AVG.
Over/Under 2.5 Goals
52%
SUCCESS RATE AVG.
Over/Under 3.5 Goals
73%
SUCCESS RATE AVG.
First Half Result
43%
SUCCESS RATE AVG.
Correct Score
13%
SUCCESS RATE AVG.
Premier League 2026/2027 prediction accuracy over the last 100 matches: 1X2 42%, BTTS 51%, Over/Under 2.5 52%, Over/Under 3.5 73%, correct score 13%.
Premier League stats: goals, BTTS, corners and cards vs other leagues
How this competition ranks among the leagues and cups we cover for goals, chances (xG), corners and cards.
How to read it
last 12 months · 370 matchesrank 1 = highest of 63 competitionsGoals a match
2.76
32nd of 63
xG a match
2.8
35th of 62
Corners a match
Cards a match
Calculated by MyGameOdds · xG: our own model
How it works
We use the league's matches from the last 12 months, without qualifying rounds, and rank it against the 63 leagues and club competitions with 50 or more matches in that time (1 = highest). A label marks a league in the top fifth on goals, home or away wins, draws, cards or corners, or in the bottom fifth on goals. xG is our estimate of each match's chances from its shots.
Premier League: the stats that stand out
The Premier League teams most unusual in their last 10 games.
How to read it
the teamleague averageeach team's last 10 games9/10Brick wall
6/10Brighton & Hove Albion kept 6 clean sheets in their last 10 (league 26%).
Slow starters
1/10Crystal Palace scored first in only 1 of 10 recent matches with goal times (league 46%).
Low-scoring
2/10Everton games went over 2.5 goals in only 2 of their last 10 (league 53%).
Shot-shy
5/9Coventry City failed to score in 5 of their last 9 (league 26%).
Hard to break
2/10Brentford conceded first in only 2 of 10 recent matches with goal times (league 46%).
Rarely both score
3/10Tottenham Hotspur: both teams scored in only 3 of their last 10 (league 55%).
Calculated by MyGameOdds
How it works
For each stat we show the club that stands out most, one club per stat. A fact needs at least 6 games and a result far enough from the league average to be unusual (at least one standard deviation).
How we measure →For additional context on current-season team tendencies, Footiqo's Premier League BTTS statistics provide free Overall, Home and Away BTTS Yes/No records for every team.
Today's Betting Tips for Premier League England
Free predictions for today's Premier League matches: 1X2, both teams to score, over/under and correct score.
· FT
Chelsea2
Manchester United0Winner
1X 69%
BTTS*
Yes 59%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 57%
Over/Under 3.5 goals
under 55%
Chelsea2Manchester United0Winner
1X 69%
BTTS*
Yes 59%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 57%
Over/Under 3.5 goals
under 55%
Full Time
144%
X25%
231%
Team Goals Over/Under
| <0.5 | >0.5 | <1.5 | >1.5 | |
|---|---|---|---|---|
 | 23% | 77% | 53% | 47% |
 | 33% | 67% | 64% | 36% |
Goals Over/Under
| <2.5 | >2.5 | <3.5 | >3.5 | |
|---|---|---|---|---|
| FT | 43% | 57% | 55% | 45% |
Correct Score
1-1
11.0%
2-1
9.0%
1-0
8.4%
1-2
7.4%
0-1
6.8%
2-0
6.6%
2-2
6.2%
· FT
Coventry City3
Sunderland1Winner
12 75%
BTTS*
Yes 58%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 55%
Over/Under 3.5 goals
under 57%
Coventry City3Sunderland1Winner
12 75%
BTTS*
Yes 58%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 55%
Over/Under 3.5 goals
under 57%
· FT
Brentford2
Nottingham Forest0Winner
12 72%
BTTS*
Yes 53%
Correct Score
1-1 12%
Over/Under 2.5 goals
under 51%
Over/Under 3.5 goals
under 61%
Brentford2Nottingham Forest0Winner
12 72%
BTTS*
Yes 53%
Correct Score
1-1 12%
Over/Under 2.5 goals
under 51%
Over/Under 3.5 goals
under 61%
· FT
Manchester City0
Brighton & Hove Albion1Winner
1 60%
BTTS*
Yes 61%
Correct Score
2-1 10%
Over/Under 2.5 goals
over 65%
Over/Under 3.5 goals
over 53%
Manchester City0Brighton & Hove Albion1Winner
1 60%
BTTS*
Yes 61%
Correct Score
2-1 10%
Over/Under 2.5 goals
over 65%
Over/Under 3.5 goals
over 53%
· FT
Hull City2
Ipswich Town2Winner
12 72%
BTTS*
Yes 52%
Correct Score
1-1 13%
Over/Under 2.5 goals
under 53%
Over/Under 3.5 goals
under 65%
Hull City2Ipswich Town2Winner
12 72%
BTTS*
Yes 52%
Correct Score
1-1 13%
Over/Under 2.5 goals
under 53%
Over/Under 3.5 goals
under 65%
· FT
AFC Bournemouth2
Leeds United0Winner
1 53%
BTTS*
No 53%
Correct Score
1-0 14%
Over/Under 2.5 goals
under 55%
Over/Under 3.5 goals
under 64%
AFC Bournemouth2Leeds United0Winner
1 53%
BTTS*
No 53%
Correct Score
1-0 14%
Over/Under 2.5 goals
under 55%
Over/Under 3.5 goals
under 64%
· FT
Tottenham Hotspur2
Crystal Palace0Winner
1X 73%
BTTS*
Yes 57%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 56%
Over/Under 3.5 goals
under 58%
Tottenham Hotspur2Crystal Palace0Winner
1X 73%
BTTS*
Yes 57%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 56%
Over/Under 3.5 goals
under 58%
· FT
Aston Villa1
Fulham1Winner
1X 70%
BTTS*
Yes 57%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 56%
Over/Under 3.5 goals
under 56%
Aston Villa1Fulham1Winner
1X 70%
BTTS*
Yes 57%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 56%
Over/Under 3.5 goals
under 56%
· FT
Liverpool0
Arsenal1Winner
X2 71%
BTTS*
Yes 59%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 58%
Over/Under 3.5 goals
under 55%
Liverpool0Arsenal1Winner
X2 71%
BTTS*
Yes 59%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 58%
Over/Under 3.5 goals
under 55%
· FT
Newcastle United0
Everton1Winner
1X 68%
BTTS*
Yes 53%
Correct Score
1-1 12%
Over/Under 2.5 goals
under 50%
Over/Under 3.5 goals
under 62%
Newcastle United0Everton1Winner
1X 68%
BTTS*
Yes 53%
Correct Score
1-1 12%
Over/Under 2.5 goals
under 50%
Over/Under 3.5 goals
under 62%
Everton–Coventry City–Winner
1X 71%
BTTS*
Yes 53%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 51%
Over/Under 3.5 goals
under 62%
Everton–Coventry City–Winner
1X 71%
BTTS*
Yes 53%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 51%
Over/Under 3.5 goals
under 62%
Leeds United–Tottenham Hotspur–Winner
1X 67%
BTTS*
Yes 54%
Correct Score
1-1 12%
Over/Under 2.5 goals
under 50%
Over/Under 3.5 goals
under 62%
Leeds United–Tottenham Hotspur–Winner
1X 67%
BTTS*
Yes 54%
Correct Score
1-1 12%
Over/Under 2.5 goals
under 50%
Over/Under 3.5 goals
under 62%
Fulham–Newcastle United–Winner
1X 66%
BTTS*
Yes 66%
Correct Score
1-1 10%
Over/Under 2.5 goals
over 65%
Over/Under 3.5 goals
over 53%
Fulham–Newcastle United–Winner
1X 66%
BTTS*
Yes 66%
Correct Score
1-1 10%
Over/Under 2.5 goals
over 65%
Over/Under 3.5 goals
over 53%
Arsenal–Hull City–Winner
1 76%
BTTS*
No 62%
Correct Score
1-0 16%
Over/Under 2.5 goals
under 51%
Over/Under 3.5 goals
under 62%
Arsenal–Hull City–Winner
1 76%
BTTS*
No 62%
Correct Score
1-0 16%
Over/Under 2.5 goals
under 51%
Over/Under 3.5 goals
under 62%
Nottingham Forest–Manchester City–Winner
2 53%
BTTS*
Yes 53%
Correct Score
1-1 10%
Over/Under 2.5 goals
over 54%
Over/Under 3.5 goals
under 59%
Nottingham Forest–Manchester City–Winner
2 53%
BTTS*
Yes 53%
Correct Score
1-1 10%
Over/Under 2.5 goals
over 54%
Over/Under 3.5 goals
under 59%
Sunderland–Chelsea–Winner
X2 68%
BTTS*
Yes 59%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 56%
Over/Under 3.5 goals
under 56%
Sunderland–Chelsea–Winner
X2 68%
BTTS*
Yes 59%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 56%
Over/Under 3.5 goals
under 56%
Brighton & Hove Albion–Brentford–Winner
1 55%
BTTS*
Yes 51%
Correct Score
1-0 12%
Over/Under 2.5 goals
over 52%
Over/Under 3.5 goals
under 60%
Brighton & Hove Albion–Brentford–Winner
1 55%
BTTS*
Yes 51%
Correct Score
1-0 12%
Over/Under 2.5 goals
over 52%
Over/Under 3.5 goals
under 60%
Ipswich Town–AFC Bournemouth–Winner
12 72%
BTTS*
Yes 52%
Correct Score
1-1 12%
Over/Under 2.5 goals
under 52%
Over/Under 3.5 goals
under 63%
Ipswich Town–AFC Bournemouth–Winner
12 72%
BTTS*
Yes 52%
Correct Score
1-1 12%
Over/Under 2.5 goals
under 52%
Over/Under 3.5 goals
under 63%
Crystal Palace–Liverpool–Winner
2 52%
BTTS*
Yes 58%
Correct Score
1-1 10%
Over/Under 2.5 goals
over 57%
Over/Under 3.5 goals
under 55%
Crystal Palace–Liverpool–Winner
2 52%
BTTS*
Yes 58%
Correct Score
1-1 10%
Over/Under 2.5 goals
over 57%
Over/Under 3.5 goals
under 55%
Manchester United–Aston Villa–Winner
1X 67%
BTTS*
Yes 68%
Correct Score
1-1 09%
Over/Under 2.5 goals
over 68%
Over/Under 3.5 goals
over 57%
Manchester United–Aston Villa–Winner
1X 67%
BTTS*
Yes 68%
Correct Score
1-1 09%
Over/Under 2.5 goals
over 68%
Over/Under 3.5 goals
over 57%
*Probability of each predicted outcome is expressed in percentage (%)
*BTTS - Both teams to score
Premier League xG: chances created and allowed
Every Premier League team's chances created and allowed a game, measured with our own xG.
How to read it
each logo is a team · tap one for detailseach logo is a team · hover one for detailsPremier League average · 1.46 xG, 1.46 xGAlast 10 games eachTap a logo to see the team's numbers
↑ Fewer chances allowed (xGA a game)
More chances created (xG a game) →
Teams by box· 20
Good attack, good defence
Good attack, weak defence
Weak attack, weak defence
Calculated by MyGameOdds · xG: our own model
How it works
xG is our estimate of how many goals a team's chances were worth, from the shots in each match; xGA is the same for the chances it allowed. The dashed lines are the average of the teams shown. A team close to a line is about average. Teams with fewer than 5 games here aren't in the chart yet.
How we measure →Premier League Results vs the Odds
Season 2026/2027 and the last 30 days
How often each result has happened in Premier League this season (thick bar) and in the last 30 days (thin bar), next to what the bookmakers’ closing odds expected. The last 30 days cover fewer matches, so their normal range is wider and big swings there are still normal. This is not our prediction accuracy.
How to read it
what the closing odds expectednormal range: chance alone lands here 19 times in 20gap to the odds, in percentage pointsgap outside the normal rangethick bar: Season · thin bar: 30 days
Result · happened
◀ fewer −20◀ fewer than expected · −20 pts odds expected+20 more ▶+20 pts · more than expected ▶
Verdict
Home wins
90 matches
40.0%
Season (90) · 40.0% vs 43.3%
Season
−3.3
±9.6
30 days (40) · 45.0% vs 42.2%
30 days
+2.8
±14.6
Draws
90 matches
27.8%
Season (90) · 27.8% vs 24.4%
Season
+3.4
±8.8
30 days (40) · 22.5% vs 25.2%
30 days
−2.7
±13.4
Away wins
90 matches
32.2%
Season (90) · 32.2% vs 32.4%
Season
−0.1
±9.1
30 days (40) · 32.5% vs 32.6%
30 days
−0.1
±13.9
Over 2.5 goals
90 matches
46.7%
Season (90) · 46.7% vs 56.3%
Season
−9.7
±10.2
30 days (40) · 40.0% vs 56.0%Fewer than expected
30 days
−16.0
±15.3Fewer than expected
Both teams scored
90 matches
47.8%
Season (90) · 47.8% vs 56.7%
Season
−8.9
±10.2
30 days (40) · 45.0% vs 57.7%
30 days
−12.7
±15.2
Show more markets (6)Show fewer markets
Over 3.5 goals
90 matches
30.0%
Season (90) · 30.0% vs 34.5%
Season
−4.5
±9.7
30 days (40) · 25.0% vs 34.4%
30 days
−9.4
±14.6
Home side ahead at half-time
90 matches
36.7%
Season (90) · 36.7% vs 33.8%
Season
+2.9
±9.5
30 days (40) · 45.0% vs 33.2%
30 days
+11.8
±14.3
Level at half-time
90 matches
43.3%
Season (90) · 43.3% vs 39.5%
Season
+3.9
±10.1
30 days (40) · 40.0% vs 39.8%
30 days
+0.2
±15.1
Away side ahead at half-time
90 matches
20.0%
Season (90) · 20.0% vs 26.8%
Season
−6.8
±8.9
30 days (40) · 15.0% vs 26.9%
30 days
−11.9
±13.5
Home team scored 2+
90 matches
50.0%
Season (90) · 50.0% vs 46.7%
Season
+3.3
±9.9
30 days (40) · 50.0% vs 46.3%
30 days
+3.7
±15.0
Away team scored 2+
90 matches
33.3%
Season (90) · 33.3% vs 38.4%
Season
−5.1
±9.7
30 days (40) · 27.5% vs 39.1%
30 days
−11.6
±14.8
Shows what happened, not what comes next. Closing odds from one bookmaker per match, bookmaker margin removed. Updated daily.
Show as a tableHide the table
| Result | Period | Matches | Happened | Odds expected | Gap (pts) | Normal range (± pts) | Verdict |
|---|---|---|---|---|---|---|---|
| Home wins | Season | 90 | 40.0% | 43.3% | −3.3 | ±9.6 | Normal range |
| Home wins | 30 days | 40 | 45.0% | 42.2% | +2.8 | ±14.6 | Normal range |
| Draws | Season | 90 | 27.8% | 24.4% | +3.4 | ±8.8 | Normal range |
| Draws | 30 days | 40 | 22.5% | 25.2% | −2.7 | ±13.4 | Normal range |
| Away wins | Season | 90 | 32.2% | 32.4% | −0.1 | ±9.1 | Normal range |
| Away wins | 30 days | 40 | 32.5% | 32.6% | −0.1 | ±13.9 | Normal range |
| Over 2.5 goals | Season | 90 | 46.7% | 56.3% | −9.7 | ±10.2 | Normal range |
| Over 2.5 goals | 30 days | 40 | 40.0% | 56.0% | −16.0 | ±15.3 | Fewer than expected |
| Both teams scored | Season | 90 | 47.8% | 56.7% | −8.9 | ±10.2 | Normal range |
| Both teams scored | 30 days | 40 | 45.0% | 57.7% | −12.7 | ±15.2 | Normal range |
| Over 3.5 goals | Season | 90 | 30.0% | 34.5% | −4.5 | ±9.7 | Normal range |
| Over 3.5 goals | 30 days | 40 | 25.0% | 34.4% | −9.4 | ±14.6 | Normal range |
| Home side ahead at half-time | Season | 90 | 36.7% | 33.8% | +2.9 | ±9.5 | Normal range |
| Home side ahead at half-time | 30 days | 40 | 45.0% | 33.2% | +11.8 | ±14.3 | Normal range |
| Level at half-time | Season | 90 | 43.3% | 39.5% | +3.9 | ±10.1 | Normal range |
| Level at half-time | 30 days | 40 | 40.0% | 39.8% | +0.2 | ±15.1 | Normal range |
| Away side ahead at half-time | Season | 90 | 20.0% | 26.8% | −6.8 | ±8.9 | Normal range |
| Away side ahead at half-time | 30 days | 40 | 15.0% | 26.9% | −11.9 | ±13.5 | Normal range |
| Home team scored 2+ | Season | 90 | 50.0% | 46.7% | +3.3 | ±9.9 | Normal range |
| Home team scored 2+ | 30 days | 40 | 50.0% | 46.3% | +3.7 | ±15.0 | Normal range |
| Away team scored 2+ | Season | 90 | 33.3% | 38.4% | −5.1 | ±9.7 | Normal range |
| Away team scored 2+ | 30 days | 40 | 27.5% | 39.1% | −11.6 | ±14.8 | Normal range |
Premier League luck check: the last 10 games
Premier League teams taking more or fewer points than their chances usually bring, measured with our own xG.
How to read it
what their chances usually bringnormal range (±4)outside it+8.1 = 8 points more than their chances usually bringRiding their luck2
- Arsenal+8.1
Aston Villa+5.2
Unlucky3
Nottingham ForestWasteful · −10 goals−10.5- Manchester UnitedWasteful · −6 goals−6.2
SunderlandWasteful · −5 goals−5.6
Points in line, but wasteful: Tottenham Hotspur (−6 goals), Liverpool (−5), Everton (−5), Fulham (−4). Clinical: Brighton & Hove Albion (+6), Ipswich Town (+4, 9 games), Chelsea (+4).
In line with their chances: Hull City, Brentford, Manchester City, Newcastle United, Coventry City, Leeds United, Crystal Palace and AFC Bournemouth.
Calculated by MyGameOdds · xG: our own model
How it works
For each of a team's last 10 games, we work out how many points a team usually gets from a game with those chances (xG) for and against, add them up and compare with the points it actually got. We do the same for goals. Strong teams often get a bit more than their chances suggest, so we compare each team with sides of similar strength in this league. That way nobody is flagged just for being good.
We flag a team when the gap is 4 points or more (or 3 goals or more). If some games have no xG data, we use the ones that do.
Does it mean anything? 85% of teams 4+ points ahead of their chances got fewer points in their next 10 games, and 83% of teams 4+ points behind got more. Bookmakers already expect these gaps to even out, so it's a fan's read, not a betting edge.
How we measure →Premier League last week: smash-and-grab wins and upsets
Smash-and-grab wins (the side with clearly fewer chances won) and upsets (results the closing odds gave under 20%) from the last 7 days.
How to read it
Oct 28–Nov 4 · 10 matches · odds: closing, margin removed
Manchester City0-1Brighton & Hove AlbionSmash-and-grabBrighton & Hove Albion beat Manchester City 1-0 despite fewer chances (xG 1.1 vs 2.4).
- Coventry City3-1Sunderland
Smash-and-grabCoventry City beat Sunderland 3-1 despite fewer chances (xG 1.1 vs 1.9).
Calculated by MyGameOdds · xG: our own model
How it works
Smash-and-grab: the winner had at least 0.8 less xG than the loser (our xG, from shots). Upset: the result the closing odds gave under 20%, with the bookmaker margin removed. Across our leagues about 6% of matches are smash-and-grab wins and about 5% are upsets.
How we measure →Premier League Standings
Check the current league table, team positions, points, and form. Click to view complete standings with detailed statistics.
#TEAM | MP | PTS | W | D | L | G | GD | FORM |
|---|---|---|---|---|---|---|---|---|
1  Arsenal | 9 | 24 | 8 | 0 | 1 | 14:5 | +9 | W W W W L |
2  Manchester City | 9 | 21 | 7 | 0 | 2 | 20:10 | +10 | L L W W W |
3  Brighton & Hove Albion | 9 | 19 | 6 | 1 | 2 | 24:7 | +17 | W L W W W |
4  Chelsea | 9 | 16 | 5 | 1 | 3 | 19:15 | +4 | W L W W L |
5  Liverpool | 9 | 15 | 4 | 3 | 2 | 11:9 | +2 | L W W L W |
UEFA Champions League
UEFA Europa League
Relegation
MP=Matches Played
PTS=Points
W=Wins
D=Draws
L=Losses
G=Goals (For:Against)
GD=Goal Difference
FORM=Last 5 Matches
The league profile compares Premier League with the 63 leagues and cups we rank over the last 12 months (rank 1 = highest). The stats that stand out pick the most unusual numbers from each team's last 10 games. The attack vs defence chart puts each team in one of four boxes: top right creates more and allows fewer chances than the league average. The luck check shows who got more or fewer points than their chances in the last 10 games, and Last week lists wins with fewer chances and results the bookmakers gave under 20%.
These statistics represent prediction accuracy based on the last 100 matches in the league. Accuracy reflects how often the model correctly predicted the outcome for each market. Our football predictions are generated using advanced AI techniques combined with historical match data, team form, player availability and head-to-head records to deliver reliable forecasts. Explore our prediction results tracker for live accuracy across all completed matches, our league accuracy data for competition-level breakdowns, or prediction performance for team-level insights.
About Premier League
The Premier League is the top level of the English football league system, contested by 20 clubs. It operates on a system of promotion and relegation with the English Football League. The Premier League was founded in 1992 and replaced the old First Division. Manchester United has won the most Premier League titles, with 13 championships. The Premier League is the most-watched football league in the world, broadcast in over 200 territories.