Kufstein vs Pinzgau Saalfelden Prediction, Odds & AI Betting Tips

Kufstein

May 16, 2026 - 15:00

2 1.45

0 1.25

xG Accuracy: 61%

Pinzgau Saalfelden

Forecast Assessment

Reliable forecast

Favourite: Kufstein Balanced match
Model probability: 41.8%
Market agreement: —
Validation: Pending

Summary:

The model and market both lean Kufstein, but neither indicates a dominant favourite. Draw and Pinzgau Saalfelden remain plausible — this is a relatively open match.

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Tracked markets vs full-time result

Each row compares the model’s highlighted side (or lean) to what happened at full time.

Market Prediction Result Outcome
Over / Under 2.5 Under 2.5 Under 2.5 (2 goals) ✔ Correct
Both Teams To Score BTTS No No ✔ Correct
1X2 Kufstein Kufstein ✔ Correct
Correct Score Insights 0-1, 0-0, 1-1, 1-0, 0-2 2-0 ✖ Incorrect

Next AI Predictions Available Today

View Today's Football Predictions See Upcoming Regionalliga - West Matches Track Kufstein Next Match Prediction Track Pinzgau Saalfelden Next Match Prediction

AI match briefing

AI Match Summary

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

League: Regionalliga - West
Fixture: Kufstein vs Pinzgau Saalfelden
Kickoff: 2026-05-16 15:00:00
1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
xG (showing): Kufstein 1.45 — Pinzgau Saalfelden 1.25 (total xG ≈ 2.7)
Primary / headline line (Betting Primary Pick when shown): BTTS No
Model: 73.1% · Implied: 45.6% · Probability edge: +27.5 pts · Est. EV: +47.7%
BTTS (model): Yes 26.9% · No 73.1%
Correct score (top bin): 0-1 (14.2%)

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 No.

Model probability is compared to implied probability from odds to highlight a probability edge; EV uses the same model probability with the best decimal price tracked.

Edges shrink quickly if prices move; always re-check the number on your book.

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.

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.

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.

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.

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

June 11, 2026 (UTC)

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Regionalliga - West — Standings

#	TEAM	MP	W	D	L	PTS
1	Wacker Innsbruck	31	27	2	2	83
2	Kuchl	31	21	2	8	65
3	Seekirchen	31	19	4	8	61
4	Imst	31	18	7	6	61
5	Dornbirn	31	16	4	11	52
6	Bischofshofen	31	16	3	12	51
7	SVG Reichenau	31	14	3	14	45
8	Hohenems	31	11	11	9	44
9	Schwaz	32	13	5	14	44
10	Kitzbühel	31	13	4	14	43
11	Wals-Grünau	31	10	8	13	38
12	TSV St. Johann	31	9	5	17	32
13	Lustenau	31	8	7	16	31
14	Rheindorf Altach II	31	7	6	18	27
15	Kufstein	31	5	10	16	25
16	Pinzgau Saalfelden	31	6	6	19	24
17	Lauterach	31	5	5	21	20

#	TEAM	MP	GS	GC	+/-	PTS
1	Wacker Innsbruck	31	83	18	+65	83
2	Seekirchen	31	82	47	+35	61
3	Imst	31	68	38	+30	61
4	Kuchl	31	61	40	+21	65
5	Dornbirn	31	61	44	+17	52
6	Bischofshofen	31	58	42	+16	51
7	Schwaz	32	57	56	+1	44
8	Hohenems	31	53	49	+4	44
9	Wals-Grünau	31	53	64	-11	38
10	Lustenau	31	46	77	-31	31
11	TSV St. Johann	31	44	55	-11	32
12	SVG Reichenau	31	43	52	-9	45
13	Kitzbühel	31	42	43	-1	43
14	Lauterach	31	40	78	-38	20
15	Rheindorf Altach II	31	35	70	-35	27
16	Kufstein	31	31	49	-18	25
17	Pinzgau Saalfelden	31	24	59	-35	24