Chattanooga Red Wolves vs Naples Statistics & Analysis

Chattanooga Red Wolves

Jun 20, 2026 - 23:00

1 1.34

0 1.26

xG Accuracy: 64%

Naples

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Tracked markets vs full-time result

Each row compares the pre-match model lean to the full-time result.

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

Validation Report

Immutable Snapshot

Prediction Time: Jul 24, 2026 · 04:10 UTC Snapshot ID: dp-1548854

Closing Odds 1.74

AI Fair Odds —

CLV +0.0%

Final Result Chattanooga Red Wolves win · Chattanooga Red Wolves 1–0 Naples

Prediction ✔ Correct

Decision Grade B-

Model Performance

This prediction contributes to:

Primary Bets ROI (180d): -100.0%

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 PRE1 on the prioritized bookmaker snapshot.

Despite limited late movement, the model still prices Draw (1X2), Naples (1X2) 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 Naples (1X2) by about 7.8 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market	Model %	Closing impl. %	Gap (pp)
Chattanooga Red Wolves (1X2)	41.7	52.6	-10.9
Draw (1X2)	28.8	25.7	+3.1
Naples (1X2)	29.5	21.7	+7.8
Over 2.5 goals	48.2	49.1	-0.9
Under 2.5 goals	51.8	50.9	+0.9

What this means

In plain terms: the model lands near 29.5% on Naples (1X2), while the closing snapshot implied about 21.7%. The difference — about 7.8 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.

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 (PRE1)
Chattanooga Red Wolves (1X2)	1.74	1.74
Draw (1X2)	3.57	3.57
Naples (1X2)	4.22	4.22
Over 2.5 goals	1.93	1.93
Under 2.5 goals	1.86	1.86

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

League: USL League One
Fixture: Chattanooga Red Wolves vs Naples
Kickoff: 2026-06-20 23:00:00
1X2 (model): Home 41.7% · Draw 28.8% · Away 29.5%
xG (showing): Chattanooga Red Wolves 1.34 — Naples 1.26 (total xG ≈ 2.6)
Value headline: None (actionable) — best tracked EV is about +0.8%, still below the +2.0% minimum for a headline / default stake (no default bet).
Structural leans (not bets): Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 51.8% · Over 2.5 48.2%); BTTS Yes (Yes 54.5% · No 45.5%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
BTTS (model): Yes 54.5% · No 45.5%
Correct score (top bin): 1-1 (12.5%)

The decision block shows no default Primary: Primary needs consensus EV ≥ +5.0% plus strength/reliability/calibration gates. A separate Lean/tracked gate is +2.0% (selective only). Lean labels are directional only — not bankroll-sized recommendations.

If lines move materially, re-run generation or refresh — implied probabilities and any future EV readouts will change first.

Historical Recommendation

Historical Decision: No Primary Bet

Outcome: Validated — Pre-match lean validated against the full-time result.

Risk Factors Considered Before Kickoff

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%).

Last Updated

September 28, 2026 (UTC)

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Back to Statistics

USL League One — Standings

#	TEAM	MP	W	D	L	PTS
1	Union Omaha	28	18	4	6	58
2	Charlotte Independence	28	17	6	5	57
3	Forward Madison	28	15	6	7	51
4	One Knoxville	27	13	8	6	47
5	Boise	27	13	7	7	46
6	Chattanooga Red Wolves	26	13	4	9	43
7	Spokane Velocity	25	13	4	8	43
8	Fort Wayne	27	10	8	9	38
9	Sarasota Paradise	27	9	6	12	33
10	Corpus Christi	26	8	9	9	33
11	Alta	28	8	8	12	32
12	Portland Hearts of Pine	28	7	9	12	30
13	Westchester SC	27	8	5	14	29
14	Naples	26	8	4	14	28
15	Greenville Triumph	26	6	5	15	23
16	NY Cosmos	26	6	4	16	22
17	Richmond Kickers	26	5	5	16	20
18	Tormenta	0	0	0	0	0

#	TEAM	MP	GS	GC	+/-	PTS
1	Charlotte Independence	28	64	40	+24	57
2	Forward Madison	28	50	27	+23	51
3	Union Omaha	28	50	30	+20	58
4	Chattanooga Red Wolves	26	47	38	+9	43
5	Westchester SC	27	46	45	+1	29
6	One Knoxville	27	44	31	+13	47
7	Boise	27	43	37	+6	46
8	Fort Wayne	27	42	36	+6	38
9	Portland Hearts of Pine	28	40	50	-10	30
10	Spokane Velocity	25	37	33	+4	43
11	Sarasota Paradise	27	37	40	-3	33
12	Alta	28	34	40	-6	32
13	NY Cosmos	26	32	52	-20	22
14	Corpus Christi	26	30	36	-6	33
15	Naples	26	29	43	-14	28
16	Greenville Triumph	26	29	48	-19	23
17	Richmond Kickers	26	25	53	-28	20
18	Tormenta	0	0	0	0	0