Banker as favourites
5/6Apollon won 5 of 6 as favourites (league 58%).
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Karmiotissa vs Apollon Prediction, Stats & Betting Tips
1. Division - Season 2026/2027 (Round 7)
Clinical
Apollon are scoring more goals than their chances (xG) usually bring
+4goals more than their chances (xG) in their last 8 with xG
80% of teams scoring this many more goals than their chances scored fewer in their next 10 games.
Bookmakers: Apollon 64% to win
Karmiotissa vs Apollon score prediction
1. Division
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
2.3 goals in total: fewer goals than usual (the 1. Division average is 2.7).
goals expected
Karmiotissa1.0Apollon1.3Calculated 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 Karmiotissa vs Apollon: our model’s probabilities next to the bookmakers’ odds in each market, how often similar predictions came true, and both teams’ recent form.
Karmiotissa vs Apollon — Our Model vs the Bookmakers
Market check · 1. Division
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 →Agrees with bookmakers
Our model’s pick
Apollon to win
Our model 46%Bookmakers 64%
Our track record
In 3,479 matches over the last 12 months where our model gave the same pick a 45–50% chance and the bookmakers agreed, it came true 49.6% of the time (bookmakers said 50.6%).
Both Teams to Score →Agrees with bookmakers
Our model’s pick
Yes, both score
Our model 55%Bookmakers 50%
Our track record
In 5,696 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 →Agrees with bookmakers
Our model’s pick
Over 2.5 goals
Our model 53%Bookmakers 56%
Our track record
In 5,153 matches over the last 12 months where our model gave the same pick a 50–55% chance and the bookmakers agreed, it came true 57.1% of the time (bookmakers said 56.4%).
Over/Under 3.5 Goals →Agrees with bookmakers
Our model’s pick
Under 3.5 goals
Our model 68%Bookmakers 66%
Our track record
In 3,958 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 →Disagrees with bookmakers
Our model’s pick
Draw at half-time
Our model 42%Bookmakers 38%
Our track record
In 2,229 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 37.0% of the time: closer to the bookmakers’ 37.3% than to our 40–45%.
Karmiotissa Goals →Agrees with bookmakers
Our model’s pick
Karmiotissa 0–1 goals
Our model 68%Bookmakers 80%
Our track record
In 2,672 matches over the last 12 months where our model gave the same pick a 65–70% chance and the bookmakers agreed, it came true 68.9% of the time (bookmakers said 67.6%).
Apollon Goals →Disagrees with bookmakers
Our model’s pick
Apollon 0–1 goals
Our model 54%Bookmakers 37%
Our track record
In 844 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 42.2% of the time: closer to the bookmakers’ 42.5% than to our 50–55%.
Odds can still move before kick-off. The track record uses closing odds.
Karmiotissa vs Apollon — AI Prediction & Probabilities by Market
Below are our AI-generated match predictions for Karmiotissa vs Apollon. Each market shows the probability of each outcome based on our model's analysis of team form, historical data and current season performance.
Karmiotissa–
Apollon–Winner
X2 71%
BTTS*
Yes 55%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 53%
Over/Under 3.5 goals
under 58%
Karmiotissa–Apollon–Winner
X2 71%
BTTS*
Yes 55%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 53%
Over/Under 3.5 goals
under 58%
Full Time
129%
X26%
246%
Goals Over/Under
| <1.5 | >1.5 | <2.5 | >2.5 | |
|---|---|---|---|---|
| FT | 24% | 76% | 47% | 53% |
| <3.5 | >3.5 | <4.5 | >4.5 | |
|---|---|---|---|---|
| FT | 58% | 42% | 82% | 18% |
Team Goals Over/Under
| <0.5 | >0.5 | <1.5 | >1.5 | |
|---|---|---|---|---|
| 35% | 65% | 68% | 32% |
| 23% | 77% | 54% | 46% |
| <2.5 | >2.5 | <3.5 | >3.5 | |
|---|---|---|---|---|
| 89% | 11% | 97% | 3% |
| 79% | 21% | 92% | 8% |
1st Half
124%
X42%
235%
1st Score
139%
X7%
254%
Half Time/Full Time
2-2
25%
1-1
16%
X-X
16%
X-2
16%
X-1
11%
2-X
6%
1-X
5%
1-2
3%
2-1
2%
Correct Score
1-1
11.9%
0-1
9.6%
1-2
9.1%
1-0
7.5%
0-2
7.2%
2-1
6.6%
0-0
6.5%
2-2
5.9%
1-3
5.0%
2-0
4.3%
0-3
3.8%
2-3
3.4%
*Probability of each predicted outcome is expressed in percentage (%)
*BTTS - Both teams to score
Karmiotissa vs Apollon: the stats that stand out
1. Division
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%Apollon: banker as favourites and hard to break · Karmiotissa: shot-shy
5/6Shot-shy
3/6Karmiotissa failed to score in 3 of their last 6 (league 28%).
Hard to break
3/10Apollon conceded first in only 3 of their last 10 (league 47%).
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 →Karmiotissa vs Apollon: Over 2.5 & BTTS?
1. Division
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 averageup to 10 recent 1. Division gamesBTTS = both teams scoredBoth teams score in Karmiotissa and Apollon games more often than the 1. Division average (49%).
Over 2.5 goalsleague 51%
Karmiotissa4 of 6
Apollon7 of 10
BTTSleague 49%
Karmiotissa3 of 6
Apollon7 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 233 games played here in the last 12 months.
How we measure →Karmiotissa vs Apollon form and luck check
1. Division
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 1. Division gamesApollon: results in line with their chances
- ApollonBookmakers: 64% to win today. · 8 of 10 gamesClinical · +4 goals+3.0
Last 5 matches
ApollonW
W
D
D
W
KarmiotissaL
L
D
D
D
W
D
L
Strength rank: Karmiotissa 14th of 14 · Apollon 5th 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 →Karmiotissa vs Apollon corners, cards and goal times
1. Division
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 gameKarmiotissa: last 6 with these statsApollon score early
Karmiotissa
Apollon
2.8
Corners won · league 4.5
3.5
5.5
Corners conceded · league 4.5
4.4
2.8
Cards · league 2.4
2.6
2.2
Opponents' cards · league 2.4
3.2
100%
Goals before half-time · league 44%
62%
0%
Goals after 75' · league 26%
14%
27%
Conceded before half-time · league 44%
50%
27%
Conceded after 75' · league 26%
13%
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
Karmiotissa2/5
Apollon3/5
Both Teams to Score
Karmiotissa3/5
Apollon4/5
Over/Under 2.5 Goals
Karmiotissa2/5
Apollon3/5
Over/Under 3.5 Goals
Karmiotissa4/5
Apollon1/5
First Half Result
Karmiotissa3/5
Apollon4/5
Correct Score
Karmiotissa0/5
Apollon0/5
correct predictionwrong prediction