Running back, UNLV, 2013–⁠15

Keith Whitely

Number
No. 28
Height
5′9″
Hometown
Houston, TX

Keith Whitely played running back at UNLV (2013–⁠15).

Career highs

124rushing yards, career highvs. Hawai’i, 2015

Rushing

Rushing yards, season by season, with his team’s record
SeasonTeamCarYdsAvgTDLong
2013UNLV10565.6015
2014UNLV1185044.3239
2015UNLV1527114.7357
Career2801,2714.5557

Returns

SeasonTeamKRYdsTDPRYdsTD
2013UNLV18407016430
2014UNLV122930600
2015UNLV–––11510
Career30700033940

Receiving

SeasonTeamRecYdsAvgTDLong
2014UNLV221868.5021
2015UNLV171549.1140
Career393408.7140

Season lines from CollegeFootballData, regular season and bowls. A dash: the source has no number for that season (often an FCS season), and career totals count only the numbers on file.

On the roster

SeasonTeamNo.PosHt
2013UNLV28RB
2014UNLV28RB
2015UNLV28RB5′9″

As each season’s roster listed the player (CollegeFootballData). Classes before the latest listing are counted back from it; “Yr 1” is the year on file where that count can’t place a season he played (a redshirt, transfer or 2020 year); height and weight as last listed.

Per play

SeasonTeamPlaysEPA/playPctileMedianTotalUsageAdj. rush
2013UNLV100.25––2.5––
2014UNLV1440.1252nd (n=253)0.1217.915%0.14
2015UNLV1740.0120th (n=268)0.122.119%-0.05

Expected points added: how much the player’s plays moved the team’s expected score, per play and in total. Plays: total EPA divided by EPA per play, the plays the source credits to him (for a receiver roughly his catches and runs, not every target; for a passer, not every attempt), so it can differ from attempts plus carries. Percentile: against the position’s regulars that season across all divisions on file (quarterbacks with 150+ plays, backs 60+, receivers and tight ends 30+), with how many there were (n) and their median; a dash means too few plays to rank. A season in progress uses the full-season bar scaled by games played, never below 75 plays for quarterbacks, 30 for backs and 20 for receivers. The cohort grows or shrinks with the source’s coverage each season (2025 lists far more players), so compare percentiles rather than raw EPA across years. FCS seasons are marked. Usage: the share of the team’s plays the player was part of (shown from 20 plays). Adjusted pass and rush: EPA per play adjusted for the defenses faced (CollegeFootballData’s WEPA). From CollegeFootballData, 2013 on.

Game by game

2015 UNLV 12 games, 711 rushing yards, 3 TD
DateOpponentResultCarRush ydsRush TDKRYdsPR
Sep 5atNorthern IllinoisL 30–⁠3821680–––
Sep 12vs.UCLAL 3–⁠3712730––1
Sep 19atMichiganL 7–⁠2813290–––
Sep 26vs.Idaho StateW 80–⁠812951–––
Oct 3atNevadaW 23–⁠1716761––1
Oct 10vs.San José StateL 27–⁠338320––1
Oct 16atFresno StateL 28–⁠3117980–––
Oct 31vs.Boise StateL 27–⁠556290–––
Nov 7vs.Hawai’iW 41–⁠21211241––3
Nov 14atColorado StateL 35–⁠4910330–––
Nov 21vs.San Diego StateL 14–⁠52670––2
Nov 28atWyomingL 28–⁠3510470––3
2014 UNLV 13 games, 504 rushing yards, 2 TD
DateOpponentResultCarRush ydsRush TDKRYdsPR
Aug 29atArizonaL 13–⁠58610123–
Sep 6vs.Northern ColoradoW 13–⁠1212820––2
Sep 13vs.Northern IllinoisL 34–⁠482110383–
Sep 20atHoustonL 14–⁠47158612341
Sep 27atSan Diego StateL 17–⁠3413400–––
Oct 4atSan José StateL 10–⁠3313790–––
Oct 10vs.Fresno StateW 30–⁠2718870–––
Oct 25atUtah StateL 20–⁠347180–––
Nov 1vs.New MexicoL 28–⁠31381––2
Nov 8vs.Air ForceL 21–⁠4861605130–
Nov 15atBYUL 23–⁠4213510–––
Nov 22atHawai’iL 35–⁠377120––1
Nov 29vs.NevadaL 27–⁠493130123–
2013 UNLV 13 games, 34 returns, 450 yards
DateOpponentResultCarRush ydsRush TDKRYdsPR
Aug 29atMinnesotaL 23–⁠511−10––1
Sep 7vs.ArizonaL 13–⁠58–––487–
Sep 14vs.Central MichiganW 31–⁠21–––3655
Sep 21vs.Western IllinoisW 38–⁠795701161
Sep 28atNew MexicoW 56–⁠42–––119–
Oct 12vs.Hawai’iW 39–⁠37–––2411
Oct 19atFresno StateL 14–⁠38–––246–
Oct 26atNevadaW 27–⁠22–––––3
Nov 2vs.San José StateL 24–⁠34–––122–
Nov 9vs.Utah StateL 24–⁠28–––––1
Nov 21atAir ForceW 41–⁠21–––117–
Nov 30vs.San Diego StateW 45–⁠19–––2731
Jan 1 ✦vs.North TexasL 14–⁠36–––1213

Box scores from CollegeFootballData, 2004 on. ✦ postseason; ★ a career high on file.

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