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Dante Moore

#5Dante Moore

QB·Oregon·20257.4 pts line valueDay 2 (Rds 2–3)

Dante Moore is a Dual-Threat QB for Oregon. Dante's 2025 season ranks in the 78th percentile nationally by opponent-adjusted EPA per play across 430 plays — a above-average rate for the QB.

What projects, and what doesn't · QBs · held out 2019-2025

How well one season predicts the next, measured on seasons the model never trained on. 1.00 would be perfectly predictable; 0.00 means last year told us nothing.

  • Usage share (volume)0.46
    Beats guessing the QB average by 16%. n=2,421 QB seasons
  • EPA per play (efficiency)0.05
    Not projectable — we do not forecast this. n=1,965 QB seasons
  • Total EPA (value)0.51
    Beats guessing the QB average by 20%. n=1,965 QB seasons

Across all positions, usage carries year to year at 0.47 and efficiency at 0.07. So Dante Moore's projection is a projection of opportunity — how much of the offense he runs through. How well he converts it is something this model does not claim to know a year in advance, and the number above is why.

2025 Production

Passing
296/412 Comp/Att3565 Pass yards30 Pass TD10 INT71.8% Comp %
Rushing
156 Rush yards2 Rush TD73 Carries2.1 Yards/carry

Air yards

Where the ball goes, and how much of the gain is the throw rather than the run after it.

37
Attempts
5.2y
Avg depth
9.9y
After catch
76%
Catch rate

The ball travels 5.2 yards in the air on an average throw 2.6 yards shorter than the median. Another 9.9 comes after the catch.

Where he throws

attempts · completion rate · yards
deep
0
2
50% · 62y
4
50% · 72y
short
7
86% · 84y
4
75% · 74y
20
80% · 68y
leftmiddleright

Depth and direction come from CFBD’s passing detail, which is backfilled after the games: this covers weeks 1–2 only. Spikes, throwaways and intentional grounding are excluded before any average.

Performance Analysis · 2025 · vs QB peers

  • Efficiency78
  • Volume100
  • Dual-Threat64
  • Consistency79
  • Clutch87
Player type
Dual-Threat QB

A genuine rushing threat who stresses defenses horizontally. Extends plays with legs and forces extra gap assignments.

Rushing threatScrambles for valueStresses defensive structure
Peer percentiles
Opponent-adjusted EPA (WEPA/play)78th %ile · above avg
Game-to-game consistency79th %ile · above avg
Key findings
  • Above-average efficiency for the QB position (78th percentile).
  • High-volume role — one of the team's most-used QBs by play share.
  • High game-to-game consistency — reliable floor each week.
  • 7 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Production faded as the season progressed — 0.16 EPA/play decline from first to second half.
  • Peak game: 0.96 EPA/play in Wk 8 vs Rutgers (SP+ 1).

NIL Market Tier· 2025

On3 valuation ↗
Starter

Meaningful starter. Local collective + position-group deals.

Tier is a model estimate based on position, school brand, performance rank, and usage — not a reported deal. NIL deals are private. For a real market valuation, see On3's NIL profile, which factors in social following and actual deal tracking.

Historical Comparables · QB · efficiency + volume + value

Players from 2013–2025 matched on EPA efficiency, play volume, and adjusted value tier — not just one metric.

PlayerTeamWEPA/playLine valTotal EPA
Stetson BennettGeorgia0.63512.5323.0

Comps are statistical — efficiency, volume, and value tier all factor in. Style and conference context differ.

Game Log · box score + EPA, week by week

+0.9600.96Wk 1 vs Montana State: +0.73 EPA/play1Wk 2 vs Oklahoma State: +0.92 EPA/play2Wk 3 vs Northwestern: +0.35 EPA/play3Wk 4 vs Oregon State: +0.64 EPA/play4Wk 5 vs Penn State: +0.34 EPA/play5Wk 7 vs Indiana: +0.07 EPA/play7Wk 8 vs Rutgers: +0.96 EPA/play8Wk 9 vs Wisconsin: -0.07 EPA/play9Wk 11 vs Iowa: -0.03 EPA/play11Wk 12 vs Minnesota: +0.67 EPA/play12Wk 13 vs USC: +0.46 EPA/play13Wk 14 vs Washington: +0.54 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+C/ATTPass YdsPass TDINTQBRRush YdsRush TDEPA/play
1vsMontana StateW59-1318/232133076.81800.73
2vsOklahoma StateW69-3-15.116/212663086.01100.92
3@NorthwesternW34-145.816/201781190.8500.35
4vsOregon StateW41-7-15.921/313054081.45300.64
5@Penn StateW30-2418.129/392483080.73500.34
7vsIndianaL20-3032.421/341861233.2-2700.07
8@RutgersW56-101.015/202904199.14900.96
9vsWisconsinW21-7-4.49/15860036.4-130-0.07
11@IowaW18-1619.713/211120139.7460-0.03
12vsMinnesotaW42-131.527/303062091.4600.67
13vsUSCW42-2716.922/302572190.0-300.46
14@WashingtonW26-1418.420/292861087.31110.54
20vsIndianaL22-5632.424/392852167.9-280
20vsTexas TechW23-027.626/332340162.3-120
20vsJames MadisonW51-3412.319/273134299.151

Usage & Situational · Pro

Snap-share proxy
Overall
48.4%
Passing plays
93.9%
Rushing plays
10.8%
Standard downs
43.6%
Passing downs
61.5%
EPA by down type
Standard downs
0.34
Passing downs
0.57
Pass / Rush EPA
0.46 / 0.22

Usage = share of team plays (CFBD has no true snap counts).

Career · rolling EPA, game by game

Per-game EPA5-game avg
+1.060−0.17
EPA per play · 2025 · 15 games

Chart shows per-game EPA (bars) and rolling 5-game average (line). Season breaks marked with dashed lines. Line value = est. points over replacement per game.

EPA = expected points added (opponent-adjusted). NIL estimates are model-based ranges, not reported deals. Data: CollegeFootballData. Not betting advice.