OFI vs PAOK — Super League Greece forecast, Sunday, 25 October 2026

Super League Greece·Sunday, 25 October 2026·18:00
OFI

vs

18:00

— vs 3rd

PAOK

Metis Forecast

Market-anchored distribution

Model updated

OFI

20%

Draw

24%

PAOK

56%

Expected goals

0.94–1.67

OFI · PAOK

PAOK win 56% of the current Metis Forecast. Most likely scores: 0–1 (12.6%), 1–1 (11.5%), 1–2 (10.8%).More forecast detail +

Both teams score in 50% of simulations.

Those three cover 35% of outcomes; the other 65% is spread across every remaining scoreline.

OFI score at least twice in 24%; PAOK in 50%.

Scoreline distribution

Match outcomes

Both teams score50%
Over 1.5 goals74%
Over 2.5 goals49%
Over 3.5 goals26%
Over 4.5 goals12%
Team scoring & clean sheets
OFI clean sheet18%
PAOK clean sheet39%
OFI score 2+24%
PAOK score 2+50%
OFI score 3+7%
PAOK score 3+23%

Model vs market

SourceHomeDrawAway
Raw Metis model24%27%49%
Market reference20%24%56%
Metis Forecast20%24%56%

Market reference: pinnacle, de-vigged (shin) · price snapshot .

The forecast combines the model’s scoreline structure with market information where a fresh price exists. The raw model is kept separate and benchmarked independently against the Pinnacle opening price.

Most likely scores

0–112.6%
1–111.5%
1–210.8%
0–210.6%
0–07.7%
1–05.7%

Market odds

MarketPinnacle
OFI4.63
Draw3.84
PAOK1.71

Market reference: Pinnacle. Prices shown for context, not as a best-price comparison.

Reference prices, published with the 23 Oct · 04:31 UTC model run. They are not live and will have moved since.

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Recent form

No recent results.

PAOK

23 AugHvs Levadeiakos4–0W
30 AugAvs Atromitos2–1W
6 SeptAvs Panathinaikos1–3L
13 SeptHvs Aris2–0W
20 SeptAvs Panetolikos3–1W

Head to head

No previous meetings in the Metis results archive for this competition.

Model context

StatOFI
(Home · no matches)
PAOK
(Away · 3 matches)
BTTS rate—100.0%
Over 2.5 rate—100.0%
Clean sheet—0.0%
Avg goals—3.67

Home stats use OFI's home record; away stats use PAOK's away record this season. These are completed-match rates over the samples shown above, not model probabilities — early in a season a handful of matches produces 0% and 100% readings.