Olimpia Grudziądz vs Hutnik Kraków Prediction, Odds & AI Betting Tips

Olimpia Grudziądz

May 23, 2026 - 15:00

1.45

1.25

42% 26% 33%

Hutnik Kraków

Betting Primary Pick (highest +EV)

BTTS Yes — Value

EV 12.3% Model 64.9%

Over / Under 2.5 Lean

Over 2.5 56.6% · Under 2.5 43.4%

EV Over 1.88% · EV Under -13.2%

Value lean: Over 2.5

1X2 Pass

Olimpia Grudziądz · Model 41.8%

implied 50.8%

EV: -18.3%

Best line EV (1X2) -0.5%

Correct Score Insights Longshot / fun

Most Likely

1-1

Probability 11.3%

Correct score is high-variance — small stakes for fun only.

Betting decision (model vs. market EV)

Value opportunity — At least one market shows estimated +EV at current best decimal odds (threshold: 2.0%).

Decision strength: 6.0 / 10

Primary line identified (+1.0)
Primary EV above 10% (+1.0)
Max 1X2 prob under 50% (no dominant 1X2) (−1.0)

O/U 2.5: EV Over 1.88% · EV Under -13.2% (7 book pairs)
BTTS: EV Yes 12.28% · EV No -26.99%

Should you bet on this match? Only where +EV is shown; always compare with your own limits.

OddsGPT Decision Engine v2.1.0(EV + Market Structure + Risk Adjustment) Check Odds at 1xBet

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

League: II Liga - East
Fixture: Olimpia Grudziądz vs Hutnik Kraków
Kickoff: 2026-05-23 15:00:00
1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
xG (showing): Olimpia Grudziądz 1.45 — Hutnik Kraków 1.25 (total xG ≈ 2.7)
Primary / headline line (Betting Primary Pick when shown): BTTS Yes
Model: 64.9% · Implied: 55.1% · Probability edge: +9.8 pts · Est. EV: +12.3%
BTTS (model): Yes 64.9% · No 35.1%
Correct score (top bin): 1-1 (11.3%)

Totals and BTTS are evaluated against current market prices where available.

Early match state can move realised goals away from pre-kick projections.

Best Bet + Reason

Primary angle highlighted on the page: BTTS Yes.

We separate probability edge (model minus implied, in points of probability) from estimated EV (economic edge at the best price shown on the page).

No pick is a guarantee; variance is especially large in scoreline markets.

FAQ

Why might 1X2 look unattractive while totals do not?

Tight 1X2 prices often embed a fair three-way split, so EV on match-winner can sit negative even when Over/Under or BTTS still diverges from the model — compare the 1X2 row on the market cards to O/U and BTTS.

How should I read EV versus a probability gap?

Probability edge = model probability minus implied probability (reported here in percentage points). EV ≈ model probability × best tracked decimal odds − 1, shown as return per unit stake. They are related but not interchangeable labels.

What changes first if odds move?

Implied probabilities and EV move immediately with price; model probabilities in this snapshot do not update until the pipeline is re-run. Refresh after material line moves.

Who has the edge in the match-winner market?

Use the 1X2 model percentages in the summary and the 1X2 market card: the side with the highest model % is the model lean, but check EV — a lean can still be -EV after prices.

Risk Factors

Price movement: implied probabilities and EV move with odds.
Sample / data gaps: low-information leagues widen forecast bands.
In-play state: goals and red cards are not modelled here.
Scoreline variance: the most likely scoreline is still usually a low absolute probability outcome (often well below 20%).

Methodology

Inputs: Same structured facts bundle as the public prediction page (xG / Poisson snapshot, market EV where available, decision engine v2).
Compliance: Educational framing only; not personalised advice.

Last Updated

May 22, 2026 (UTC)

How to use this

Focus on the Primary line when you want one actionable idea.
Do not parlay many thin-edge picks together; edges do not add reliably.
Treat longshots as optional, high-stake-sizing plays only.

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II Liga - East — Standings

#	TEAM	MP	W	D	L	PTS
1	Unia Skierniewice	32	21	5	6	68
2	Warta Poznań	32	17	11	4	62
3	Olimpia Grudziądz	32	17	9	6	60
4	Podbeskidzie	32	16	6	10	54
5	Podhale Nowy Targ	32	13	13	6	52
6	Śląsk Wrocław II	32	14	7	11	49
7	Sandecja Nowy Sącz	32	12	13	7	49
8	Chojniczanka Chojnice	32	12	10	10	46
9	Hutnik Kraków	32	12	9	11	45
10	Świt Skolwin	32	12	8	12	44
11	Rekord Bielsko-Biała	32	11	10	11	43
12	Stal Stalowa Wola	32	8	16	8	40
13	Resovia Rzeszów	32	10	10	12	40
14	Sokół Kleczew	32	9	7	16	34
15	Kalisz	32	7	10	15	31
16	Zaglebie Sosnowiec	32	8	7	17	31
17	ŁKS Łódź II	32	5	10	17	25
18	Jastrzębie	32	0	7	25	6

#	TEAM	MP	GS	GC	+/-	PTS
1	Unia Skierniewice	32	66	40	+26	68
2	Olimpia Grudziądz	32	66	40	+26	60
3	Podbeskidzie	32	61	41	+20	54
4	Śląsk Wrocław II	32	58	48	+10	49
5	Warta Poznań	32	53	33	+20	62
6	Chojniczanka Chojnice	32	53	45	+8	46
7	Stal Stalowa Wola	32	52	43	+9	40
8	Świt Skolwin	32	51	57	-6	44
9	Sandecja Nowy Sącz	32	48	38	+10	49
10	Hutnik Kraków	32	45	37	+8	45
11	Resovia Rzeszów	32	45	44	+1	40
12	Rekord Bielsko-Biała	32	44	46	-2	43
13	Podhale Nowy Targ	32	43	31	+12	52
14	Sokół Kleczew	32	43	56	-13	34
15	Kalisz	32	35	51	-16	31
16	Zaglebie Sosnowiec	32	34	60	-26	31
17	ŁKS Łódź II	32	31	58	-27	25
18	Jastrzębie	32	18	78	-60	6