CFR 1907 Cluj vs Arges Pitesti Prediction, Odds & AI Betting Tips

CFR 1907 Cluj

May 23, 2026 - 15:00

1.13

0.89

39% 34% 27%

Arges Pitesti

Betting Primary Pick (highest +EV)

Under 2.5 — Value

EV 14.1% Model 67.1%

Steam vs. value

🔥 Strong steam · Arges Pitesti ↓ -28.7% · 13/14 · 97 A+

Market steam	Strong
Current EV	Negative
Closing line pressure	High
Value remaining	Limited

Why The model prices Under 2.5 goals about 9.6 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

Market remained largely stable before kickoff. No meaningful late implied-price shift was detected between PRE30 and PRE5 on the prioritized bookmaker snapshot.

Despite limited late movement, the model still prices Draw (1X2), Arges Pitesti (1X2), Under 2.5 goals meaningfully above what those closing snapshots implied — that gap is a static “model vs. price” read, not a late steam or chase story.

The model still exceeds closing implied on Under 2.5 goals by about 9.6 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market	Model %	Closing impl. %	Gap (pp)
CFR 1907 Cluj (1X2)	39.4	52.4	-13.1
Draw (1X2)	33.8	26.7	+7.0
Arges Pitesti (1X2)	26.8	20.8	+6.0
Over 2.5 goals	32.9	42.5	-9.6
Under 2.5 goals	67.1	57.5	+9.6

What this means

In plain terms: the model lands near 67.1% on Under 2.5 goals, while the closing snapshot implied about 57.5%. The difference — about 9.6 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 → PRE5 · 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.

Detailed capture odds are folded below — movement was negligible on de-vig implied prices.

View full line-by-line capture table

Market	Early (PRE30)	Closing (PRE5)
CFR 1907 Cluj (1X2)	1.79	1.79
Draw (1X2)	3.51	3.51
Arges Pitesti (1X2)	4.51	4.51
Over 2.5 goals	2.23	2.23
Under 2.5 goals	1.65	1.65

Both Teams To Score Best value (+EV)

Yes 41.6% · No 58.4%

EV Yes -12.64% · EV No 5.12%

Value lean: BTTS No

1X2 Lean

CFR 1907 Cluj · Model 39.4%

implied 52.4%

Main consensus market · EV: -17.4%

Best available bookmaker line: +0.5% EV

Some outlier bookmaker prices may still show small theoretical value vs. the consensus line above.

Correct Score Insights Longshot / fun

Most Likely

1-0

Probability 15.0%

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)
Draw probability above 30% (−0.5)
Two or more valid +EV lines at threshold (+0.5)

O/U 2.5: EV Over -25.98% · EV Under 14.07% (12 book pairs)
BTTS: EV Yes -12.64% · EV No 5.12%

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: Liga I
Fixture: CFR 1907 Cluj vs Arges Pitesti
Kickoff: 2026-05-23 15:00:00
1X2 (model): Home 39.4% · Draw 33.8% · Away 26.8%
xG (showing): CFR 1907 Cluj 1.13 — Arges Pitesti 0.89 (total xG ≈ 2.02)
Primary / headline line (Betting Primary Pick when shown): Under 2.5 goals
Model: 67.1% · Implied: 56.2% · Probability edge: +10.9 pts · Est. EV: +14.1%
BTTS (model): Yes 41.6% · No 58.4%
Correct score (top bin): 1-0 (15.0%)

Where EV is shown, it is estimated return per unit stake at the best tracked decimal price — not the same thing as a raw probability gap.

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

Best Bet + Reason

Primary angle highlighted on the page: Under 2.5 goals.

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

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

FAQ

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.

What is the best-supported line in this snapshot?

Match the hero card above: if it says “Betting Primary Pick”, that leg cleared primary rules; if it says “Best +EV (tracked markets)”, it is the strongest +EV line that did not meet stricter Primary thresholds. The bullets below repeat the same model %, implied %, edge (pts), and EV % as that card.

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.

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.

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 24, 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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Liga I — Standings

#	TEAM	MP	W	D	L	PTS
1	Universitatea Craiova	9	6	1	2	49
2	Universitatea Cluj	10	6	1	3	46
3	CFR 1907 Cluj	10	4	4	2	43
4	Dinamo Bucuresti	10	3	4	3	39
5	Rapid	9	1	2	6	33
6	Arges Pitesti	10	1	4	5	32
7	FCSB	30	13	7	10	46
8	Uta Arad	30	11	10	9	43
9	FC Botosani	30	11	9	10	42
10	Oţelul	30	11	8	11	41
11	Farul Constanta	30	10	7	13	37
12	Petrolul Ploiesti	30	7	11	12	32
13	Csikszereda	30	8	8	14	32
14	Unirea Slobozia	30	7	4	19	25
15	AFC Hermannstadt	30	5	8	17	23
16	Metaloglobus	30	2	6	22	12

#	TEAM	MP	GS	GC	+/-	PTS
1	FCSB	30	48	40	+8	46
2	Oţelul	30	39	32	+7	41
3	Farul Constanta	30	39	37	+2	37
4	Uta Arad	30	39	44	-5	43
5	FC Botosani	30	37	29	+8	42
6	Csikszereda	30	30	58	-28	32
7	AFC Hermannstadt	30	29	50	-21	23
8	Unirea Slobozia	30	27	46	-19	25
9	Metaloglobus	30	25	66	-41	12
10	Petrolul Ploiesti	30	24	31	-7	32
11	Universitatea Cluj	10	13	11	+2	46
12	Dinamo Bucuresti	10	13	12	+1	39
13	Universitatea Craiova	9	12	6	+6	49
14	CFR 1907 Cluj	10	8	7	+1	43
15	Rapid	9	8	14	-6	33
16	Arges Pitesti	10	6	10	-4	32

#	TEAM	MP	xG	xGC	+/-	PTS
1	FCSB	30	50.6	28.2	+22.4	46
2	Dinamo Bucuresti	10	43.7	24.3	+19.4	39
3	Universitatea Craiova	9	37.5	24.4	+13.1	49
4	Oţelul	30	41.3	33.1	+8.2	41
5	Farul Constanta	30	37.8	33.2	+4.6	37
6	CFR 1907 Cluj	10	34.8	32.4	+2.4	43
7	Rapid	9	35.3	33.2	+2.1	33
8	FC Botosani	30	33.9	32.2	+1.7	42
9	Universitatea Cluj	10	32.0	30.8	+1.2	46
10	Arges Pitesti	10	26.0	25.8	+0.2	32
11	AFC Hermannstadt	30	29.8	31.9	-2.1	23
12	Petrolul Ploiesti	30	28.9	34.5	-5.6	32
13	Uta Arad	30	33.5	42.0	-8.5	43
14	Unirea Slobozia	30	26.9	39.8	-12.9	25
15	Metaloglobus	30	23.1	42.4	-19.3	12
16	Csikszereda	30	22.9	49.8	-26.9	32