Sigma Olomouc II vs Hodonín Prediction, Odds & AI Betting Tips

Sigma Olomouc II

May 20, 2026 - 15:00

1.45

1.25

42% 26% 33%

Hodonín

Betting Primary Pick (highest +EV)

BTTS Yes — Value

EV 18.2% Model 73.9%

Why The model prices Over 2.5 goals about 4.1 percentage points above closing implied — the main structural read vs. the line.

Market intelligence

Supporting read on how the prioritized closing feed moved versus the model — use after the Primary pick above.

Market briefing

The largest late implied swing on this feed was about 2.97 percentage points on Sigma Olomouc II (1X2) between PRE30 and PRE1.

The model still exceeds closing implied on Over 2.5 goals by about 4.1 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market	Model %	Closing impl. %	Gap (pp)
Sigma Olomouc II (1X2)	41.8	40.7	+1.0
Draw (1X2)	25.7	26.3	-0.6
Hodonín (1X2)	32.6	33.0	-0.4
Over 2.5 goals	59.9	55.8	+4.1
Under 2.5 goals	40.1	44.2	-4.1

What this means

In plain terms: the model lands near 59.9% on Over 2.5 goals, while the closing snapshot implied about 55.8%. The difference — about 4.1 percentage points — is the largest model-vs.-market gap highlighted on this page.

Quick definitions: “closing implied” is the probability for that outcome implied by the final captured odds (after a simple de-vig). “Gap (pp)” is the model percentage minus that implied value, in percentage points (pp).

Closing-window line move

Single prioritized bookmaker per snapshot (not all books). Capture path: PRE30 → PRE1 · Book: Pinnacle

Column tags in parentheses: Closing uses the first available snapshot in PRE1→PRE5→PRE10→PRE30; Early uses the first available in PRE30→PRE10→PRE5 that is not the same capture as Closing.

Market	Early (PRE30)	Closing (PRE1)	Implied Δ (pp)
Sigma Olomouc II (1X2)	2.07	2.22	-3.0
Draw (1X2)	3.57	3.44	+0.9
Hodonín (1X2)	2.92	2.74	+2.0
Over 2.5 goals	1.61	1.67	-2.0
Under 2.5 goals	2.21	2.11	+2.0

Over / Under 2.5 Lean

Over 2.5 59.9% · Under 2.5 40.1%

EV Over 0.63% · EV Under -11.78%

Value lean: Over 2.5

1X2 Poor value

Sigma Olomouc II · Model 41.8%

implied 40.7%

EV: -8.6%

Best line EV (1X2) -8.6%

Correct Score Insights Longshot / fun

Most Likely

1-1

Probability 10.8%

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 0.63% · EV Under -11.78% (8 book pairs)
BTTS: EV Yes 18.24% · EV No -37.36%

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

Quick read on how the model reads this matchup.

League: 3. liga - MSFL
Fixture: Sigma Olomouc II vs Hodonín
Kickoff: 2026-05-20 15:00:00
1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
xG (showing): Sigma Olomouc II 1.45 — Hodonín 1.25 (total xG ≈ 2.7)
Primary / headline line (Betting Primary Pick when shown): BTTS Yes
Model: 73.9% · Implied: 59.7% · Probability edge: +14.2 pts · Est. EV: +18.2%
BTTS (model): Yes 73.9% · No 26.1%
Correct score (top bin): 1-1 (10.8%)

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

1X2 can look balanced even when side markets show clearer structure.

Best Bet + Reason

Primary pick from the decision engine: BTTS Yes.

If 1X2 looks tight, the engine may still find clearer structure in totals or BTTS — that is intentional.

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

FAQ

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.

Safer market than correct score?

Markets with more liquidity and smoother prices (often 1X2 or O/U 2.5 from many books) are usually easier to reason about than long-tail correct-score prices; still read EV on each leg.

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.

Is the most likely correct score a good bet?

Usually no as a standalone bet: the “most likely” scoreline is still a low absolute probability tail event (often single digits, sometimes low teens). Use it as context; keep any correct-score stake in the “fun / small” bucket.

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 21, 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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3. liga - MSFL — Standings

#	TEAM	MP	W	D	L	PTS
1	Třinec	28	20	5	3	65
2	Hodonín	28	18	6	4	60
3	Zbrojovka Brno II	28	17	4	7	55
4	Frýdek-Místek	29	16	7	6	55
5	Uničov	28	14	9	5	51
6	Sigma Olomouc II	28	15	4	9	49
7	Vrchovina	29	13	7	9	46
8	Unie Hlubina	29	10	8	11	38
9	Vsetín	29	11	5	13	38
10	Vítkovice	28	10	7	11	37
11	Zlín II	29	9	8	12	35
12	Slovácko II	29	8	9	12	33
13	Polanka nad Odrou	28	7	8	13	29
14	Blansko	29	9	2	18	29
15	Hranice	29	6	7	16	25
16	Start Brno	28	4	11	13	23
17	Karviná II	28	6	5	17	23
18	Hlučín	28	4	6	18	18

#	TEAM	MP	GS	GC	+/-	PTS
1	Hodonín	28	65	29	+36	60
2	Třinec	28	62	20	+42	65
3	Zbrojovka Brno II	28	59	33	+26	55
4	Sigma Olomouc II	28	53	27	+26	49
5	Vrchovina	29	50	45	+5	46
6	Zlín II	29	48	57	-9	35
7	Frýdek-Místek	29	47	30	+17	55
8	Uničov	28	41	32	+9	51
9	Unie Hlubina	29	41	41	0	38
10	Blansko	29	41	62	-21	29
11	Vítkovice	28	40	42	-2	37
12	Slovácko II	29	40	48	-8	33
13	Vsetín	29	39	48	-9	38
14	Karviná II	28	33	54	-21	23
15	Hranice	29	32	52	-20	25
16	Start Brno	28	30	46	-16	23
17	Polanka nad Odrou	28	29	49	-20	29
18	Hlučín	28	29	64	-35	18