Always on the scoresheet
1/10OFI failed to score in only 1 of their last 10 (league 31%).
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Panaitolikos vs OFI Prediction, Stats & Betting Tips
Super League - Season 2026/2027 (Round 9)
Clinical
OFI are scoring more goals than their chances (xG) usually bring
+6goals more than their chances (xG) in their last 10
80% of teams scoring this many more goals than their chances scored fewer in their next 10 games.
Bookmakers: OFI 38% to winPanaitolikos 33%
Panaitolikos vs OFI score prediction
Super League
The goals we expect each side to score, not an exact score: built from both teams' chances, the bookmakers' view and real goals here.
Evenly matched in front of goal
2.6 goals in total, a little over the Super League average of 2.5.
goals expected
Panaitolikos1.4OFI1.2Calculated by MyGameOdds · xG: our own model
How it works
We look at how many chances each team has created and allowed in its recent games in this league, what the bookmakers expected from those games, and the goals actually scored. Then we compare that with how many goals home and away teams usually score here.
Does it work? Since July 2025, our numbers have been 7% closer to the real goals than just using the league average.
How we measure →Get our AI football prediction and stats for Panaitolikos vs OFI: our model’s probabilities next to the bookmakers’ odds in each market, how often similar predictions came true, and both teams’ recent form.
Panaitolikos vs OFI — Our Model vs the Bookmakers
Market check · Super League
For each market: our model’s probability for this match, the bookmakers’ probability from the current odds (margin removed), whether the two agree, and how often our predictions like this one came true over the last 12 months. When they disagree, the bookmakers’ number has usually been the better guide.
How to read it
our model’s probabilitybookmakers’ probabilityAgreesDisagreesour model’s pick is / is not the bookmakers’ favouriteTrack record: finished matches from the last 12 months
Full-Time Result →Disagrees with bookmakers
Our model’s pick
Panaitolikos to win
Our model 43%Bookmakers 33%
Our track record
In 1,057 matches over the last 12 months where our model gave the same pick a 40–45% chance but the bookmakers favoured a different outcome, it came true 30.5% of the time: closer to the bookmakers’ 30.2% than to our 40–45%.
Both Teams to Score →Agrees with bookmakers
Our model’s pick
Yes, both score
Our model 55%Bookmakers 52%
Our track record
In 5,693 matches over the last 12 months where our model gave the same pick a 55–60% chance and the bookmakers agreed, it came true 56.7% of the time (bookmakers said 57.8%).
Over/Under 2.5 Goals →Disagrees with bookmakers
Our model’s pick
Over 2.5 goals
Our model 52%Bookmakers 45%
Our track record
In 2,836 matches over the last 12 months where our model gave the same pick a 50–55% chance but the bookmakers favoured a different outcome, it came true 44.0% of the time: closer to the bookmakers’ 45.2% than to our 50–55%.
Over/Under 3.5 Goals →Agrees with bookmakers
Our model’s pick
Under 3.5 goals
Our model 70%Bookmakers 77%
Our track record
In 3,955 matches over the last 12 months where our model gave the same pick a 65–70% chance and the bookmakers agreed, it came true 68.4% of the time (bookmakers said 66.8%).
First Half Result →Agrees with bookmakers
Our model’s pick
Draw at half-time
Our model 47%Bookmakers 45%
Our track record
In 4,234 matches over the last 12 months where our model gave the same pick a 45–50% chance and the bookmakers agreed, it came true 48.0% of the time (bookmakers said 47.2%).
Panaitolikos Goals →Agrees with bookmakers
Our model’s pick
Panaitolikos 0–1 goals
Our model 57%Bookmakers 68%
Our track record
In 3,463 matches over the last 12 months where our model gave the same pick a 55–60% chance and the bookmakers agreed, it came true 61.7% of the time (bookmakers said 61.1%).
OFI Goals →Agrees with bookmakers
Our model’s pick
OFI 0–1 goals
Our model 67%Bookmakers 63%
Our track record
In 3,271 matches over the last 12 months where our model gave the same pick a 65–70% chance and the bookmakers agreed, it came true 68.1% of the time (bookmakers said 67.8%).
Odds can still move before kick-off. The track record uses closing odds.
Panaitolikos vs OFI — AI Prediction & Probabilities by Market
Below are our AI-generated match predictions for Panaitolikos vs OFI. Each market shows the probability of each outcome based on our model's analysis of team form, historical data and current season performance.
Panaitolikos–
OFI–Winner
1X 69%
BTTS*
Yes 55%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 52%
Over/Under 3.5 goals
under 60%
Panaitolikos–OFI–Winner
1X 69%
BTTS*
Yes 55%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 52%
Over/Under 3.5 goals
under 60%
Full Time
143%
X26%
231%
Goals Over/Under
| <1.5 | >1.5 | <2.5 | >2.5 | |
|---|---|---|---|---|
| FT | 24% | 76% | 48% | 52% |
| <3.5 | >3.5 | <4.5 | >4.5 | |
|---|---|---|---|---|
| FT | 60% | 40% | 83% | 17% |
Team Goals Over/Under
| <0.5 | >0.5 | <1.5 | >1.5 | |
|---|---|---|---|---|
| 25% | 75% | 57% | 43% |
| 34% | 66% | 66% | 34% |
| <2.5 | >2.5 | <3.5 | >3.5 | |
|---|---|---|---|---|
| 81% | 19% | 93% | 7% |
| 87% | 13% | 96% | 4% |
1st Half
131%
X47%
222%
1st Score
154%
X7%
239%
Half Time/Full Time
1-1
25%
X-X
19%
X-1
17%
2-2
13%
X-2
11%
2-X
5%
1-X
4%
2-1
3%
1-2
2%
Correct Score
1-1
12.1%
1-0
9.3%
2-1
9.0%
0-1
7.5%
1-2
7.4%
2-0
7.1%
0-0
7.1%
2-2
5.7%
0-2
4.6%
3-1
4.3%
3-0
3.6%
*Probability of each predicted outcome is expressed in percentage (%)
*BTTS - Both teams to score
Panaitolikos vs OFI: the stats that stand out
Super League
Where each side is most unusual compared with the rest of the league: clean sheets, scoring first, wins as favourites and more.
How to read it
the teamleague averageshare of games, 0 to 100%OFI: always on the scoresheet · Panaitolikos: always chasing
1/10Always chasing
6/10Panaitolikos conceded first in 6 of their last 10 (league 45%).
Calculated by MyGameOdds
How it works
We compare each team's last 10 games in this competition with how often the same thing happens across the whole league (last 12 months). A fact only shows when the team is noticeably different from a typical team. For example, if teams here score first in half their games, a team needs 7 or more out of 10 (or 3 or fewer). We show up to three facts, the most unusual first, never two about the same thing. They describe what happened, not a forecast.
How we measure →Panaitolikos vs OFI: attack vs defence
Super League
Both sides' chances created and allowed a game, next to the rest of the league, measured with our own xG.
How to read it
other Super League teamsleague averagelast 10 games↑ Fewer chances allowed (xGA a game)
More chances created (xG a game) →
- Panaitolikos: weak attack, weak defence (1.18 xG, 1.65 xGA a game)
- OFI: weak attack, weak defence (1.19 xG, 1.49 xGA)
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 →Panaitolikos vs OFI form and luck check
Super League
Whether each side is taking more or fewer points than its chances usually bring.
How to read it
what their chances usually bringoutside the normal range (±4)last 10 Super League gamesBoth results in line with their chances
- PanaitolikosBookmakers: 33% to win today.+1.5
- OFIBookmakers: 38% to win today.Clinical · +6 goals+2.6
Last 5 matches
OFIL
L
D
W
W
PanaitolikosL
L
L
L
W
W
D
L
Strength rank: Panaitolikos 13th of 14 · OFI 12th of 14
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.
Strength rank: we rank this season's 14 teams by how much better their attack is than their defence, using chances (xG), the odds and goals. Does it work? Over the first half of a season, this rank predicted the second half better than the league table did.
How we measure →Panaitolikos vs OFI: Over 2.5 & BTTS?
Super League
How often each side's recent league games had over 2.5 goals and both teams scoring.
How to read it
a game where it happenedleague averagelast 10 Super League gamesBTTS = both teams scoredOFI games go over 2.5 goals more often than the Super League average (50%), Panaitolikos games less often.
Over 2.5 goalsleague 50%
Panaitolikos4 of 10
OFI7 of 10
BTTSleague 48%
Panaitolikos5 of 10
OFI6 of 10
Calculated by MyGameOdds
How it works
For each team we take its last 10 games in this competition from the past 12 months (fewer if it hasn't played 10) and count how many went over 2.5 goals and how many had both teams scoring. The league figure uses all 236 games played here in the last 12 months.
How we measure →Panaitolikos vs OFI corners, cards and goal times
Super League
Each side's corners and cards a game, and when it scores and concedes, from its recent league games.
How to read it
league averagelast 10 in the league · corners and cards per gamePanaitolikos score late
Panaitolikos
OFI
4.2
Corners won · league 4.4
3.4
5.0
Corners conceded · league 4.4
4.7
2.4
Cards · league 2.6
2.6
2.2
Opponents' cards · league 2.6
2.6
27%
Goals before half-time · league 47%
53%
45%
Goals after 75' · league 22%
24%
47%
Conceded before half-time · league 47%
44%
33%
Conceded after 75' · league 22%
39%
Calculated by MyGameOdds
How it works
We use each team's last 10 games here. Corners and cards only count games where those stats were recorded, and goal times only count games with reliable goal minutes, so some teams have fewer than 10. We compare with the whole league over the last 12 months.
How we measure →Our prediction record
Our last 5 predictions in each team’s matches, by market.
Full-Time Result
OFI3/5
Panaitolikos4/5
Both Teams to Score
OFI4/5
Panaitolikos4/5
Over/Under 2.5 Goals
OFI3/5
Panaitolikos3/5
Over/Under 3.5 Goals
OFI3/5
Panaitolikos4/5
First Half Result
OFI3/5
Panaitolikos3/5
Correct Score
OFI0/5
Panaitolikos0/5
correct predictionwrong prediction