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Tyrone Owens

#25Tyrone Owens

RB·New Mexico·20162.8 pts line valueDay 3 (Rds 4–7)

Tyrone Owens is a Explosive Back for New Mexico. Tyrone's 2016 season ranks in the 80th percentile nationally by opponent-adjusted EPA per play across 137 plays — a above-average rate for the RB.

What projects, and what doesn't · RBs · 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)0.52
    Beats guessing the RB average by 18%. n=4,219 RB seasons
  • EPA per play (efficiency)0.10
    Not projectable — we do not forecast this. n=3,575 RB seasons
  • Total EPA (value)0.41
    Beats guessing the RB average by 9%. n=3,575 RB seasons

Across all positions, usage carries year to year at 0.47 and efficiency at 0.07. So Tyrone Owens'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.

2016 Production

Rushing
1097 Rush yards7 Rush TD137 Carries8.0 Yards/carry
Receiving
7 Receptions54 Rec yards0 Rec TD7.7 Yards/rec

Performance Analysis · 2016 · vs RB peers

  • Efficiency80
  • Volume50
  • Explosiveness100
  • Consistency59
  • Receiving44
Player type
Explosive Back

Elite per-carry efficiency — breaks big runs and creates chunk plays at a top rate while in a limited role.

Big-play threatHigh EPA per carryCapitalises on opportunities
Peer percentiles
Opponent-adjusted EPA (WEPA/play)80th %ile · above avg
Game-to-game consistency59th %ile · average
Key findings
  • Above-average efficiency for the RB position (80th percentile).
  • 4 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Peak game: 0.93 EPA/play in Wk 8 vs UL Monroe (SP+ -21).

Historical Comparables · RB · 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
Travis EtienneClemson0.4704.7100.1
Clyde Edwards-HelaireLSU0.4905.0105.8
Saquon BarkleyPenn State0.4105.298.4
Nick WilsonArizona0.4105.2102.5
Dalvin CookFlorida State0.4505.8102.6

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

Game Log · box score + EPA, week by week

+0.9300.93Wk 1 vs South Dakota: +0.20 EPA/play1Wk 2 vs New Mexico State: +0.16 EPA/play2Wk 3 vs Rutgers: -0.10 EPA/play3Wk 5 vs San José State: +0.35 EPA/play5Wk 6 vs Boise State: +0.46 EPA/play6Wk 7 vs Air Force: +0.35 EPA/play7Wk 8 vs UL Monroe: +0.93 EPA/play8Wk 9 vs Hawai'i: +0.50 EPA/play9Wk 10 vs Nevada: +0.25 EPA/play10Wk 11 vs Utah State: -0.23 EPA/play11Wk 12 vs Colorado State: +0.66 EPA/play12Wk 1 vs UTSA: -0.39 EPA/play1
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1vsSouth DakotaW48-2110484.800.20
2@New Mexico StateL31-32-17.216764.8011000.16
3@RutgersL28-37-14.914674.80-0.10
5vsSan José StateW48-41-13.6161177.3122700.35
6vsBoise StateL21-4911.578211.710.46
7vsAir ForceW45-404.4161267.910.35
8vsUL MonroeW59-17-21.3917119.011400.93
9@Hawai'iW28-21-10.11213411.212900.50
10vsNevadaW35-26-13.012695.811400.25
11@Utah StateW24-21-4.410373.70-0.23
12@Colorado StateL31-490.81215713.110.66
1vsUTSAW23-20-11.23134.30-0.39

Usage & Situational · Pro

Snap-share proxy
Overall
17.6%
Passing plays
4.3%
Rushing plays
21.9%
Standard downs
18.8%
Passing downs
14.6%
EPA by down type
Standard downs
0.25
Passing downs
0.52
Pass / Rush EPA
0.22 / 0.32

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

Career · rolling EPA, game by game

Per-game EPA5-game avg
+1.060−0.52
EPA per play · 2016 · 12 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.