Digenis Ypsonas scored first in only 1 of 10 recent matches with goal times (league 47%).
1. Division Predictions & Stats
Free AI predictions for every upcoming 1. Division match — 1X2, Both Teams to Score, Over/Under goals and Correct Score probabilities.
Predictions updated on 11 October 2026.
1. Division Predictions by Market
Season 2026/2027 · Round 5 · Regular Season
Full-Time Result
45%
SUCCESS RATE AVG.
Both Teams To Score
44%
SUCCESS RATE AVG.
Over/Under 2.5 Goals
60%
SUCCESS RATE AVG.
Over/Under 3.5 Goals
69%
SUCCESS RATE AVG.
First Half Result
35%
SUCCESS RATE AVG.
Correct Score
7%
SUCCESS RATE AVG.
1. Division 2026/2027 prediction accuracy over the last 100 matches: 1X2 45%, BTTS 44%, Over/Under 2.5 60%, Over/Under 3.5 69%, correct score 7%.
1. Division 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 · 229 matchesrank 1 = highest of 63 competitionsAway days pay
Goals a match
2.71
34th of 63
xG a match
2.34
57th of 62
Corners a match
9
51st of 62
Cards a match
4.77
14th of 63
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.
1. Division: the stats that stand out
The 1. Division teams most unusual in their last 10 games.
How to read it
the teamleague averageeach team's last 10 gamesCalculated 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 →Today's Betting Tips for 1. Division Cyprus
Free predictions for today's 1. Division matches: 1X2, both teams to score, over/under and correct score.
Winner
12 73%
BTTS*
Yes 54%
Correct Score
1-1 12%
Over/Under 2.5 goals
under 50%
Over/Under 3.5 goals
under 62%
Winner
12 73%
BTTS*
Yes 54%
Correct Score
1-1 12%
Over/Under 2.5 goals
under 50%
Over/Under 3.5 goals
under 62%
Full Time
Team Goals Over/Under
| <0.5 | >0.5 | <1.5 | >1.5 | |
|---|---|---|---|---|
| 33% | 67% | 65% | 35% | |
| 29% | 71% | 61% | 39% |
Goals Over/Under
| <2.5 | >2.5 | <3.5 | >3.5 | |
|---|---|---|---|---|
| FT | 50% | 50% | 62% | 38% |
Correct Score
1-1
11.9%
0-1
9.1%
1-0
8.6%
1-2
8.5%
2-1
8.1%
0-0
8.0%
0-2
6.9%
Winner
1 51%
BTTS*
Yes 59%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 57%
Over/Under 3.5 goals
under 55%
Winner
1 51%
BTTS*
Yes 59%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 57%
Over/Under 3.5 goals
under 55%
Winner
X2 71%
BTTS*
Yes 56%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 51%
Over/Under 3.5 goals
under 61%
Winner
X2 71%
BTTS*
Yes 56%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 51%
Over/Under 3.5 goals
under 61%
Winner
1 64%
BTTS*
Yes 50%
Correct Score
1-0 12%
Over/Under 2.5 goals
over 53%
Over/Under 3.5 goals
under 60%
Winner
1 64%
BTTS*
Yes 50%
Correct Score
1-0 12%
Over/Under 2.5 goals
over 53%
Over/Under 3.5 goals
under 60%
Winner
1X 72%
BTTS*
Yes 50%
Correct Score
1-1 12%
Over/Under 2.5 goals
under 51%
Over/Under 3.5 goals
under 64%
Winner
1X 72%
BTTS*
Yes 50%
Correct Score
1-1 12%
Over/Under 2.5 goals
under 51%
Over/Under 3.5 goals
under 64%
Winner
1X 73%
BTTS*
Yes 57%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 53%
Over/Under 3.5 goals
under 59%
Winner
1X 73%
BTTS*
Yes 57%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 53%
Over/Under 3.5 goals
under 59%
Winner
1X 74%
BTTS*
Yes 53%
Correct Score
1-1 12%
Over/Under 2.5 goals
under 50%
Over/Under 3.5 goals
under 63%
Winner
1X 74%
BTTS*
Yes 53%
Correct Score
1-1 12%
Over/Under 2.5 goals
under 50%
Over/Under 3.5 goals
under 63%
Winner
1X 68%
BTTS*
Yes 55%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 50%
Over/Under 3.5 goals
under 62%
Winner
1X 68%
BTTS*
Yes 55%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 50%
Over/Under 3.5 goals
under 62%
Winner
12 75%
BTTS*
Yes 61%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 60%
Over/Under 3.5 goals
under 52%
Winner
12 75%
BTTS*
Yes 61%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 60%
Over/Under 3.5 goals
under 52%
Winner
1 56%
BTTS*
Yes 56%
Correct Score
2-1 11%
Over/Under 2.5 goals
over 56%
Over/Under 3.5 goals
under 57%
Winner
1 56%
BTTS*
Yes 56%
Correct Score
2-1 11%
Over/Under 2.5 goals
over 56%
Over/Under 3.5 goals
under 57%
Winner
1 58%
BTTS*
Yes 52%
Correct Score
1-0 12%
Over/Under 2.5 goals
over 51%
Over/Under 3.5 goals
under 61%
Winner
1 58%
BTTS*
Yes 52%
Correct Score
1-0 12%
Over/Under 2.5 goals
over 51%
Over/Under 3.5 goals
under 61%
*Probability of each predicted outcome is expressed in percentage (%)
*BTTS - Both teams to score
1. Division xG: chances created and allowed
Every 1. Division 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 details1. Division average · 1.33 xG, 1.24 xGAlast 10 games each↑ Fewer chances allowed (xGA a game)











More chances created (xG a game) →
Teams by box· 11
Not in the chart yet: Karmiotissa, Nea Salamis, Omonia 29is Maiou (under 5 games here).
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 →1. Division Results vs the Odds
Season 2026/2027 and the last 30 days
How often each result has happened in 1. Division 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
Home wins
31 matches
32.3%
Draws
31 matches
35.5%
Away wins
31 matches
32.3%
Over 2.5 goals
31 matches
67.7%
Both teams scored
31 matches
58.1%
Show more markets (6)Show fewer markets
Over 3.5 goals
31 matches
38.7%
Home side ahead at half-time
31 matches
32.3%
Level at half-time
31 matches
45.2%
Away side ahead at half-time
31 matches
22.6%
Home team scored 2+
31 matches
48.4%
Away team scored 2+
31 matches
41.9%
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 | 31 | 32.3% | 42.1% | −9.8 | ±15.9 | Normal range |
| Home wins | 30 days | 17 | 29.4% | 41.0% | −11.6 | ±21.3 | Normal range |
| Draws | Season | 31 | 35.5% | 24.1% | +11.4 | ±15.0 | Normal range |
| Draws | 30 days | 17 | 35.3% | 23.8% | +11.5 | ±20.1 | Normal range |
| Away wins | Season | 31 | 32.3% | 33.9% | −1.6 | ±15.2 | Normal range |
| Away wins | 30 days | 17 | 35.3% | 35.2% | +0.1 | ±20.6 | Normal range |
| Over 2.5 goals | Season | 31 | 67.7% | 52.1% | +15.6 | ±17.4 | Normal range |
| Over 2.5 goals | 30 days | 17 | 58.8% | 52.4% | +6.5 | ±23.5 | Normal range |
| Both teams scored | Season | 31 | 58.1% | 49.5% | +8.5 | ±17.5 | Normal range |
| Both teams scored | 30 days | 17 | 58.8% | 48.9% | +9.9 | ±23.6 | Normal range |
| Over 3.5 goals | Season | 31 | 38.7% | 30.8% | +7.9 | ±16.1 | Normal range |
| Over 3.5 goals | 30 days | 17 | 23.5% | 31.0% | −7.5 | ±21.7 | Normal range |
| Home side ahead at half-time | Season | 31 | 32.3% | 32.6% | −0.4 | ±15.8 | Normal range |
| Home side ahead at half-time | 30 days | 17 | 35.3% | 31.2% | +4.1 | ±20.9 | Normal range |
| Level at half-time | Season | 31 | 45.2% | 40.3% | +4.8 | ±17.2 | Normal range |
| Level at half-time | 30 days | 17 | 58.8% | 40.1% | +18.7 | ±23.2 | Normal range |
| Away side ahead at half-time | Season | 31 | 22.6% | 27.0% | −4.5 | ±14.8 | Normal range |
| Away side ahead at half-time | 30 days | 17 | 5.9% | 28.7% | −22.8 | ±20.3 | Fewer than expected |
| Home team scored 2+ | Season | 31 | 48.4% | 42.3% | +6.1 | ±16.4 | Normal range |
| Home team scored 2+ | 30 days | 17 | 41.2% | 40.2% | +0.9 | ±21.8 | Normal range |
| Away team scored 2+ | Season | 31 | 41.9% | 35.1% | +6.9 | ±15.7 | Normal range |
| Away team scored 2+ | 30 days | 17 | 35.3% | 36.8% | −1.5 | ±21.3 | Normal range |
1. Division luck check: the last 10 games
1. Division 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+6.1 = 6 points more than their chances usually bringRiding their luck3
AEK LarnacaClinical · +4 goals+6.1
Apollon9 of 10 gamesClinical · +5 goals+5.2
AEL9 of 10 games+4.8
Unlucky2
Aris Limassol9 of 10 gamesWasteful · −6 goals−7.3
Paphos9 of 10 gamesWasteful · −5 goals−4.9
Points in line, but wasteful: Omonia Aradippou (−4 goals).
In line with their chances: Olympiakos, Omonia Nicosia, Anorthosis, Digenis Ypsonas and APOEL.
No luck check yet for Karmiotissa, Nea Salamis and Omonia 29is Maiou: under 5 games with xG here in 12 months.
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 →1. Division 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 4–Oct 11 · 6 matches · odds: closing, margin removedNo smash-and-grab wins or upsets in these 6 matches.
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 →1. Division 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 | 5 | 12 | 4 | 0 | 1 | 8:8 | 0 | W W W L W |
2 | 5 | 11 | 3 | 2 | 0 | 11:2 | +9 | W W D W D |
3 | 5 | 10 | 3 | 1 | 1 | 7:3 | +4 | W L W D W |
4 | 4 | 9 | 3 | 0 | 1 | 9:4 | +5 | W L W W |
5 | 5 | 9 | 2 | 3 | 0 | 10:6 | +4 | W D D W D |
About 1. Division
The league profile compares 1. Division 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, tactical trends, 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.
The Cypriot First Division is the top football league in Cyprus. It features intense rivalries, especially between APOEL, Omonia, and Anorthosis. The league has improved in quality and infrastructure, and Cypriot clubs have made notable appearances in UEFA competitions in recent years.