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Anu Solomon

#12Anu Solomon

QB·Arizona·20145.5 pts line valueDay 3 (Rds 4–7)

Anu Solomon is a Dual-Threat QB for Arizona. Anu's 2014 season ranks in the 3th percentile nationally by opponent-adjusted EPA per play across 659 plays — a developing 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 Anu Solomon'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.

2014 Production

Passing
313/540 Comp/Att3793 Pass yards28 Pass TD9 INT58.0% Comp %
Rushing
291 Rush yards2 Rush TD137 Carries2.1 Yards/carry
Punting
4 Punts150 Punt yards37.5 Yards/punt48 Long3 Inside 20

Performance Analysis · 2014 · vs QB peers

  • Efficiency3
  • Volume100
  • Dual-Threat62
  • Consistency67
  • Clutch67
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)3th %ile · below avg
Game-to-game consistency67th %ile · average
Key findings
  • Below-average efficiency vs QB peers — value comes through volume, not per-play impact.
  • High-volume role — one of the team's most-used QBs by play share.
  • 4 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 — 0.21 EPA/play decline from first to second half.
  • Peak game: 0.64 EPA/play in Wk 3 vs Nevada (SP+ -7).

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
Jordan TravisFlorida State0.47610.1328.3

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

Game Log · box score + EPA, week by week

+0.6400.64Wk 1 vs UNLV: +0.48 EPA/play1Wk 2 vs UTSA: -0.03 EPA/play2Wk 3 vs Nevada: +0.64 EPA/play3Wk 4 vs California: +0.25 EPA/play4Wk 6 vs Oregon: +0.25 EPA/play6Wk 7 vs USC: +0.20 EPA/play7Wk 9 vs Washington State: +0.52 EPA/play9Wk 10 vs UCLA: +0.01 EPA/play10Wk 11 vs Colorado: +0.10 EPA/play11Wk 12 vs Washington: -0.04 EPA/play12Wk 13 vs Utah: +0.49 EPA/play13Wk 14 vs Arizona State: +0.37 EPA/play14Wk 15 vs Oregon: -0.25 EPA/play15Wk 1 vs Boise State: +0.14 EPA/play1
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+C/ATTPass YdsPass TDINTQBRRush YdsRush TDEPA/play
1vsUNLVW58-13-17.625/444254090.75000.48
2@UTSAW26-23-3.417/322311031.8110-0.03
3vsNevadaW35-28-7.322/262783194.66000.64
4vsCaliforniaW49-45-0.647/735205263.14600.25
6@OregonW31-2424.720/312871160.5000.25
7vsUSCL26-2817.143/723951067.1-700.20
9@Washington StateW59-37-1.726/382945092.33100.52
10@UCLAL7-1717.718/481751122.0800.01
11vsColoradoW38-20-5.021/382114069.210500.10
12vsWashingtonW27-267.817/392420221.630-0.04
13@UtahW42-108.88/171580075.52210.49
14vsArizona StateW42-3513.515/212082047.6-4700.37
15vsOregonL13-5124.76/1234004.6-230-0.25
1vsBoise StateL30-3811.628/493351225.63210.14

Usage & Situational · Pro

Snap-share proxy
Overall
58.1%
Passing plays
95.5%
Rushing plays
18.2%
Standard downs
50.3%
Passing downs
73.6%
EPA by down type
Standard downs
0.17
Passing downs
0.30
Pass / Rush EPA
0.23 / 0.21

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

Career · rolling EPA, game by game

Per-game EPA5-game avg
+0.730−0.34
EPA per play · 2014 · 14 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.