#10Heinrich Haarberg

TE·Nebraska·2025 2023

Heinrich Haarberg is a Versatile TE for Nebraska.

What projects, and what doesn't · TEs · 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)0.42
Beats guessing the TE average by 9%. n=2,225 TE seasons
EPA per play (efficiency)0.04
Not projectable — we do not forecast this. n=2,016 TE seasons
Total EPA (value)0.46
Beats guessing the TE average by 13%. n=2,016 TE seasons

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

Receiving

8 Receptions52 Rec yards1 Rec TD6.5 Yards/rec

Performance Analysis · 2025 · vs TE peers

Efficiency100
Volume9
Explosiveness0
Consistency0
Pass-Down0

Player type

Versatile TE

Balanced profile without a single dominant trait — contributes across multiple dimensions.

Balanced usageMulti-role

Peer percentiles

Opponent-adjusted EPA (WEPA/play)100th %ile · elite

Game-to-game consistency0th %ile · below avg

Key findings

▸Top-10% efficiency among TEs — elite opponent-adjusted EPA rate.
▸Limited usage share suggests a rotational or specialist role.
▸High game-to-game variance — boom-or-bust profile.
▸5 high-impact games (EPA/play > 0.4) this season — elite ceiling.
▸Production faded as the season progressed — 0.17 EPA/play decline from first to second half.
▸Peak game: 1.55 EPA/play in Wk 4 vs Michigan (SP+ 12).

NIL Market Tier· 2025

On3 valuation ↗

Star

Top-10 nationally. Multiple mid-to-large collective deals expected.

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 · TE · efficiency + volume + value

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

Player	Team	Yr	Plays	WEPA/play	Line val	Total EPA
Johnny Langan	Rutgers	2021	37	0.240	0.0	8.9
Jordan Myers	Rice	2021	59	0.270	0.2	15.9
Johnny Langan	Rutgers	2020	59	0.300	0.0	17.7
D'Vaughn Pennamon	Ole Miss	2017	55	0.200	0.0	11.0
Evan Svoboda	Wyoming	2024	75	0.290	0.5	21.8

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

Game Log · box score + EPA, week by week

EPA per play · x-axis: weekabove 0 = added points · below = lost

Wk	Opponent	Result	Opp SP+	Rec	Rec Yds	Avg	Rec TD	Long	EPA/play
1	vsCincinnati	W20-17	4.5	—	—	—	—	—	0.44
2	vsAkron	W68-0	-13.9	1	9	9.0	0	9	-1.56
3	vsHouston Christian	W59-7	—	1	13	13.0	0	13	0.53
4	vsMichigan	L27-30	12.4	3	18	6.0	1	9	1.55
6	vsMichigan State	W38-27	-3.4	1	-2	-2.0	0	0	-0.39
7	@Maryland	W34-31	0.6	1	13	13.0	0	13	-0.02
9	vsNorthwestern	W28-21	5.8	—	—	—	—	—	1.02
10	vsUSC	L17-21	16.9	1	1	1.0	0	1	-0.58
11	@UCLA	W28-21	-8.7	—	—	—	—	—	1.05
14	vsIowa	L16-40	19.7	—	—	—	—	—	-1.74

Usage & Situational · Pro

Snap-share proxy

Overall

3.2%

Passing plays

3.9%

Rushing plays

2.7%

Standard downs

3.6%

Passing downs

1.9%

EPA by down type

Standard downs: 0.39
Passing downs: -0.40
Pass / Rush EPA: 0.56 / -0.23

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

Career · rolling EPA, game by game

Per-game EPA5-game avg

EPA per play · 2023 · 10 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.