SportsProof
Charlie Kolar

Charlie Kolar

TELACLos Angeles Chargers

Other TEs on LAC
Games
4
2026 season
PPR PPG
4.5
TE56 overall
Total pts
17.8

This is how TEs have played against the Buccaneers in the 2026 season.

TE1 = the highest-scoring TE against Buccaneers in each game, not a fixed depth-chart spot.

WkTeamPlayerTgtRecReYdReTDFPts
1CINCINMike Gesicki7578118.8
2CLECLEHarold Fannin Jr.6554010.4
3MINMINT.J. Hockenson421103.1
4GBGBTucker Kraft7642116.5
5DALDALJake Ferguson631904.9
6PITPITDarnell Washington6425112.5
7CARCARDarren Waller2150112.0
8ATLATLKyle Pitts52602.6
Average5.43.535.60.510.1
Median6.03.533.50.511.2
High7678118.8
Low21602.6

Averages are raw, outliers are never removed.

TE1 avg pts
10.1
PPR per game
Rank
16
of 32 (1 = most allowed)
vs League
-4%
lg avg 10.5
How Charlie Kolar should do vs the BuccaneersSeason log, the group you pick, and a projection

Season so far, compared with what the group you pick below has done against the Buccaneers, plus a projection for this game.

What is this table?

Rows at the top are every game Charlie Kolar has played this season, using the same stat columns as the table above.

Compare against picks which group of Buccaneers opponents to line them up with: the best TE they faced in each game (1), the second best (2), the third best (3), or all of the top three. Nobody knows which slot Charlie Kolar will land in this week, so this is your call, not a guess.

Buccaneers avg is the average line of that group. Difference is that minus Charlie Kolar's own average: green means the defense gives that slot more than Charlie Kolar usually produces.

Projected is Charlie Kolar's recent-weighted average scaled by how generous the Buccaneers were to the slot you picked. Change the slot and the projected points change, because each slot has a different matchup adjustment. Picking Top 3 uses the usual-role projection.

Compare against
WkOppTgtRecReYdReTDFPts
2LV332105.1
5DEN433704.7
6KC632005.0
8LA412003.0
Kolar avg4.32.524.50.04.5
Buccaneers TE1 avg5.43.535.60.510.1
Difference+1.1+1.0+11.1+0.5+5.6
Projected as TE14.12.423.80.03.8

Difference is what the defense allows minus what Kolar averages (green = defense gives up more). Projected stats scale the player's averages by the matchup adjustment, so they are a rough guide.

Start / Sit · Charlie KolarGood confidence · 3.8 proj pts1/10 start
  • Charlie Kolar averages 4.5 PPR points over 4 games (recent-weighted 4.3) and has played as the team's TE1.
  • The Buccaneers have allowed 10.1 points to TE1s over 8 games (-4% vs league). The model applies 73% of that gap because the sample is small, giving a -3% adjustment.
  • Last season's average (3.3) is blended in at 33% weight because this season's sample is small.
  • Projection: 3.8 points.
  • For reference, a typical weekly starter-level TE scores about 13.5 and a top-tier one about 19.5.
  • A statistical model from box scores, Vegas lines, weather and injury tags. It cannot see role changes or in-game events.
Prediction & chance to scoreCharlie Kolar vs the Buccaneers

Prediction for Charlie Kolar

Nobody knows which slot Charlie Kolar will land in this week, so pick the one you expect. The projection changes because each slot faces a different average from the Buccaneers.

If Charlie Kolar plays as
3.8
projected PPR points

I predict about 3.8 points for Charlie Kolar if playing as a TE1. Charlie Kolar has averaged 4.5 over 4 games, and the Buccaneers have given up 10.1 to TE1s (-4% vs the league average of 10.5).

How this projection is built

1. The player. Charlie Kolar scored: Wk 2 5.1, Wk 5 4.7, Wk 6 5.0, Wk 8 3.0. Average 4.5; weighted toward recent games it is 3.9.

2. The defense. Over 8 games, the Buccaneers allowed 10.1 points to their opponent's TE1. The league average for that slot is 10.5, so that is -4%.

3. Trusting small samples less. With 8 defensive games, only 73% of the gap is applied, capped at +/-30%. That gives a -3% adjustment (x0.97).

4. Result. 3.9 x 0.97 = 3.8. Switching slots only changes step 2 and 3: the player's own numbers stay the same, but each slot faces a different defensive average.

It is a statistical model, not knowledge of injuries, game script or weather.

Chance to score

Type a point total to see how likely Charlie Kolar is to reach it as a TE1.

40%
chance of 4+ PPR points
Why this percentage?

The projection (3.8) is the middle of the range. Fantasy scores swing a lot from game to game, so the model spreads possible scores around it by about 1.5 points, leaning on Charlie Kolar's own game-to-game swings once there are several games (and on typical TE swings before that).

Scores are modelled as right-skewed, since a big game is possible but a very negative one is not. The percentage is the share of that spread at or above 4.

With only 4 games of history, treat this as a rough gauge. It gets sharper as the season goes on. It is never lower than 1% or higher than 99%.

InsightsPlain-English takeaways from the table
  • TE1s have averaged 3.5 receptions, 35.6 receiving yards and 0.5 receiving TDs against the Buccaneers across 8 games.
  • The Buccaneers allow 10.1 PPR points to TE1s, -4% versus the league average of 10.5 (ranked 16 of 32, where 1 is most generous). That is a near-average matchup.
  • Outlier: Week 1, Mike Gesicki (18.8 pts, 78 yds) sits far above the other games and pulls the averages up. Average with it vs without it: pts 10.1 vs 8.9; yds 35.6 vs 29.6. The table above keeps the raw averages.
  • Outlier: Week 8, Kyle Pitts (2.6 pts, 6 yds) sits far below the other games and drags the averages down. Average with it vs without it: pts 10.1 vs 11.2; yds 35.6 vs 39.9. The table above keeps the raw averages.
  • 5 of 8 games reached 7+ PPR points. Scores range from 2.6 to 18.8 (median 11.2).
  • TE1s scored a touchdown in 4 of 8 games (50%).

Insights are generated by rules from the table above and recalculate every week.