SportiveWorldSportiveWorld
Tounde Yessoufou

Tounde Yessoufou

Baylor Bears · NCAA Division I · Shooting guard/Small forward · Freshman · 1.96 m

SportiveWorld evaluation

SW#30Projection Round 1Modelled
Potential · EliteConfidence · HighMarket #23·SW 7

Main reading

The environment holds him back: on his signals alone he would be #5 of 39 (2025-26).

Freshness · CurrentDaily board snapshot: 2026-09-20 (matches the computation value by value: rank, score, consensus, Δ, sample) · 7 day(s) of history · Mocks captured: 2026-09-20 · Box scores up to 2026-04-07 (season 2025-26: 34 of the team's 34 games) · Board computed on 2026-09-20 14:04 UTC · served from cache (25 min ago; recomputed every hour)

Why he is here

#17
NCAA model · of 39
36 %
NBA career prob.
NCAA model · Model weight in his rank: 67 %
Looks too lowHigh convictionReliability · highProfile · Perimeter scorer

The NCAA model places him #17 of 39, but the environment drags him down: on his individual signals alone he would be #5 and the comparables see him #18. Market: #23.

Measured over 34 games with a box score · 2025-26 · Baylor Bears

  • fact36 % probability of an NBA career (≥ 2,000 min). On the model's scale: context +2.44 · player +1.89. With average opponent and team, the same profile would give 4.7 %; on the environment alone, 8 %.
  • factMeasured environment: Baylor Bears, strength +5.3 (+0.7 sd) · average opponent +4.7 (+1.9 sd) — environment #33 of 39 ranked
  • factHis individual signal adding the most: Scoring per 40 21.8 (+1.5 sd · contribution +1.36). On his individual signals alone he would be #5 of 39.
  • factHistorical comparables: 13 of 118 similar university seasons reached the NBA (11 %) — #18 of 36 ranked in that lens. The model gives him 59 % to reach the NBA: the comparables are more conservative than the model for all 36 ranked, which is why this lens compares ranks, not figures.

interpretationThe environment drags him down: his individual production, with average opponent and team, would be worth more places than we give him. A weak context hides signals that are genuinely his.

Production
+1.79
Efficiency
−0.60
Minutes
+0.70
Opponent quality + Team strength
+2.44
4.7 %
On his signals alone
8 %
On his environment alone
#5
Rank on his signals alone

Where the rank comes from: how much his individual signals contribute and how much his environment (model scale). Below, the probability with an average opponent and team, and the probability on the environment alone.

MovementVersus the 2026-09-13 snapshot: #30 → #30 · NCAA model #16 → #17. Market #24 → #23. · The earlier snapshot carried no board rank (pre-V3.2): recomputed with today's rule on its rows.

Potential

Categorical reading of the ceiling the accredited evidence supports. Not a score: it starts from the NCAA model (if any) or from the market prior and only moves one level with our own evidence, declared piece by piece.

Potential · EliteConfidence · High

factStarts from the NCAA model: 36% probability of an NBA career (#17 of 39 measured).High

  • The market (#23) does not disagree with the model enough to move the reading.
  • On his individual signals alone he would be #5 of 39 (≥ 8 places better than his model #17): the environment holds him back. Up one level.

Evidence moves the reading one level at most, in the direction the sum of the evidence pushes. · Confidence: NCAA season with ≥ 15 games with a box score and ≥ 60% of the team's games.

Production

2025-26 · Baylor Bears · 17.8p · 5.9r · 1.6a · 32.7 min · 34 of 34 games with a box score · TS 55.5 %

By opponent level

Per 40 minutes, over the games with a box score. Small samples within one season: read as a hint, not a verdict.

pjW-Lminpts/40reb/40ast/40tov/40TS
2025-263432.721.87.21.92.355.5 %
Opponents +8 or better80-834.819.97.51.62.452.9 %
Other opponents2617-932.022.47.12.12.356.3 %
Postseason31-236.017.86.71.51.544.7 %
Away / neutral135-834.718.97.31.41.650.3 %

Strengths

Signals that add the most

Opponent quality +4.7 (+1.9 SD)
+1.82
Scoring per 40 21.8 (+1.5 SD)
+1.36
Minutes per game 32.7 min (+1.2 SD)
+0.70

What travels: holds up against strong opponents

  • Scoring per 40: 19.9 against +8 opponents (8 games) versus 21.8 over the season — it holds

An individual signal is transferable if it holds against opponents rated +8 or better (≥ 90% of its season value). What evaporates as the level rises is stated.

Risks and what would change our mind

Signals that subtract

Shot volume per 40 17.5 (+1.9 SD)
−0.66

Would make us move him down

  • The shot not holding up: 29.3 % from three with 37 % of his attempts from outside
  • More sources consolidating the consensus #23

Would make us move him up

  • More efficiency: today TS 55.5 % (−0.1 sd versus the cohort)

What to watch until the Draft

  • The 2026-27 season: every new box score is measured and can move the rank
  • The mocks: captured daily; today the consensus is 2 source(s)
  • His minutes (32.7 per game): a drop would show in the box score before any news

Context

Facts derived from the box score (Basketball-Reference formulas over the games he played) and the standings. No film or tracking data.

Role on his team

  • ·Started 34 of 34 games (100%) · 32.7 min (82% of the available minutes)
  • ·Usage 27.0% of his team's possessions while on the floor · 27% of its points
  • ·Creation: assists 9.3% of his teammates' baskets while on the floor · 0.80 assists per turnover · 10.5% of his possessions end in a turnover
  • ·Team record with him on the floor: 17-17 · estimated pace 70.5 possessions per 40 min

His team and schedule

  • ·Baylor Bears · Big 12 Conference · 16-15 in the standings · 6-12 in conference
  • ·Postseason with a box score: 3 games, none in the NCAA Tournament
  • ·Team strength +5.3 (+0.7 sd in the cohort) · average opponent +4.7 (+1.9 sd): the model's two context signals

Development

2025-26
Baylor Bears
17.8p · 5.9r · 1.6a · 32.7 min · TS 55.5 %
34 of 34 games with a box score
36 %

No earlier season in our base: nothing to compare against.

Comparables and outlook (Scout)

Similarity of one season's statistical profile (12 axes per 40 minutes), not of playing style. 'Looks like X' means 'his season resembles it on these axes', nothing more.

fact13 of the 118 university seasons most like his 2025-26 reached the NBA (11 %) · statistical archetype: Perimeter scorer

Ceiling
Rudy Gay
34,544 NBA min · pick #8
Expected
MarShon Brooks
3,465 NBA min · pick #25
Floor
Jerome Dyson
180 NBA min · undrafted

NBA twins · what they share

Jaysean Paige d 1.55 · 7 NBA minOffensive rebounding per 40 +0.8
Alonzo Gee d 1.57 · 9,071 NBA minShot volume per 40 +1.7 · Scoring per 40 +1.4 · Offensive rebounding per 40 +1.2
John Holland d 1.57 · 177 NBA minSteals per 40 +1.7

Computed on 2025-26 (34 games) · 2026-09-13

Combine

NBA Draft Combine 2026 · identity: unique name within the 2024-2026 window and undrafted · rank within HIS cohort (those who did the test that year)

What stands out most

Modified lane agility2.75 s (2.75 s)

percentile 98 among the SGs measured in 2022-2026 (rank 2 of 62)

interpretationLateral agility above his position: quick changes of direction, useful to defend outside

A snapshot of that day (2026): weight, vertical and times change with physical work

Standing vertical86 cm (34.00 ″)

percentile 96 among the SGs measured in 2022-2026 (rank 4 of 70)

interpretationVertical above his position: measured explosiveness, not eyeballed

A snapshot of that day (2026): weight, vertical and times change with physical work

All measurements · 11
Height without shoes
194 cm (76.25 ″)
Wingspan
208 cm (82.00 ″)
percentile 76 among the SGs measured in 2022-2026 (rank 20 of 81)
Standing reach
262 cm (103.00 ″)
percentile 74 among the SGs measured in 2022-2026 (rank 22 of 81)
Hand length
21.6 cm (8.50 ″)
percentile 70 among the SGs measured in 2022-2026 (rank 25 of 81)
Hand width
22.9 cm (9.00 ″)
percentile 36 among the SGs measured in 2022-2026 (rank 52 of 81)
WeightA snapshot of that day (2026)
100 kg (219.8 lb)
Standing verticalA snapshot of that day (2026)
86 cm (34.00 ″)
percentile 96 among the SGs measured in 2022-2026 (rank 4 of 70)
Max verticalA snapshot of that day (2026)
97 cm (38.00 ″)
percentile 80 among the SGs measured in 2022-2026 (rank 15 of 70)
¾ court sprintA snapshot of that day (2026)
3.17 s (3.17 s)
percentile 70 among the SGs measured in 2022-2026 (rank 22 of 70)
Lane agilityA snapshot of that day (2026)
11.09 s (11.09 s)
percentile 45 among the SGs measured in 2022-2026 (rank 39 of 70)
Modified lane agilityA snapshot of that day (2026)
2.75 s (2.75 s)
percentile 98 among the SGs measured in 2022-2026 (rank 2 of 62)

Market vs SportiveWorld

Outside reference: the rank given by the cited publications. We know the rank; they do not publish the why.

#23
Market
+6
Gap
#17
SW rank · of 39
Tankathon#17nbadraftroom#242 cited publication(s)· #7 by consensus among the 39 SW-ranked

factExternal consensus #23 (Tankathon #17 · nbadraftroom #24; 2 source(s)). What we know: the rank. What we do NOT know: why they place him there — the sources publish rankings, not reasons.

Does our position hold? · The three lenses

Looks too low
  • On his individual signals alone he would be #5 of 39: −12 places versus SW #17 — the environment drags him down
  • On his environment alone (opponent and team) he would be #33 of 39, with 8 %
  • The comparables lens places him in the same zone of the board: #18 of 36 versus SW #17. A relative rank, not a rate: 11 % of 118 similar seasons reached the NBA; the model gives him 59 % to reach it

Three independent lenses against our own place: his individual signals alone, his environment alone and the historical comparables. A lens disagrees when it lands 8 places away or more. SportiveWorld can be wrong: this is where it shows.

Conviction

High convictionHow much the data backs what we say — it is not the rank. A #1 can carry low conviction and a #30, high. 4 of 5 factors in favour.
  • Sample: 34 of 34 games with a box score (100%)
  • Standardised by the Scout census (own season profile)
  • Consensus from 2 sources
  • His individual signals alone place him far from the SW rank (#5 versus #17)
  • Historical comparables agree on the zone (#18 of 36 versus SW #17)
Why this gap exists

On our side the gap decomposes exactly: which dimensions push the rank up and which hold it back. On the consensus side we only see the rank: its sources publish rankings, not reasons, so why they place him there is UNKNOWN. All we can say is what our model does NOT measure.

factSportiveWorld #17 · consensus #23: 6 places higher. Pushing up: Opponent quality · Production · Minutes · Team strength · Box-score defence. Holding back: Efficiency. Consensus sources: 2.

unknownWe know the consensus rank (#23: Tankathon #17 · nbadraftroom #24). We do not know why they place him there: the sources publish rankings, not reasons.

Pushes the rank up

Opponent quality +1.82
Opponent quality +4.7 (z +1.9)
Production +1.48
Scoring per 40 21.8 (z +1.5) · Rebounding per 40 7.2 (z +0.3) · Offensive rebounding per 40 3.0 (z +0.9)
Minutes +0.70
Minutes per game 32.7 min (z +1.2)
Team strength +0.62
Team strength +5.3 (z +0.7)
Box-score defence +0.43
Steals per 40 2.4 (z +1.9) · Blocks per 40 0.8 (z +0.1)

Holds the rank back

Efficiency −0.58
True shooting (TS%) 55.5 % (z −0.1) · Shot volume per 40 17.5 (z +1.9) · Free-throw rate (FTA/FGA) 27.6 % (z −0.5)

What our model does NOT measure (it could explain part of the gap; the consensus does not publish its reasons)

  • Age and class (Freshman): the model does not adjust for them; the same production from a younger player projects higher
  • Physique and athleticism: measured at the 2026 Combine (below), but outside the model
  • Projection, film and future role: not in the box score

No appreciable weight · Creation −0.12 · Outside shooting −0.02

Rank history
#14#20#2609-1309-1409-1509-1609-1709-1809-20
SWConsensus

7 captures, from 2026-09-13 to 2026-09-20

  • ·2026-09-15: SW #16 → #17 · consensus #24 → #23 · no accredited cause in his own data (movement of the mocks or the rest of the board)

Movement in the mocks

nbadraftroom: 09-13 #24 → 09-14 #24 → 09-15 #24 → 09-16 #24 → 09-17 #24 → 09-18 #24 → 09-20 #24
Tankathon: 09-13 #17 → 09-14 #17 → 09-15 #17 → 09-16 #17 → 09-17 #17 → 09-18 #17 → 09-20 #17

Data and evidence

Everything behind the reading, on demand: season signal by signal, trajectory, games with a box score, comparables, consensus and the provenance of every figure.

All the model's signals

Opponent quality
+4.7
+1.82
Scoring per 40
21.8
+1.36
Minutes per game
32.7 min
+0.70
Team strength
+5.3
+0.62
Steals per 40
2.4
+0.38
Rebounding per 40
7.2
+0.08
Free-throw rate (FTA/FGA)
27.6 %
+0.08
Blocks per 40
0.8
+0.05
Offensive rebounding per 40
3.0
+0.04
Turnovers per 40
2.3
+0.01
True shooting (TS%)
55.5 %
+0.01
Share of threes
37.2 %
−0.00
Three-point accuracy
29.3 %
−0.01
Assists per 40
1.9
−0.13
Shot volume per 40
17.5
−0.66

Calibrated probability of an NBA career of ≥ 2,000 minutes, given this season = 35.9 % · P(playing in the NBA) = 59.1 %

34 of 34 games with a box score · 19 conference · 1 against an unrated opponent (outside Division I; not counted in opponent quality) · Average opponent +4.7 (+1.9 sd vs the cohort) · team +5.3 (+0.7 sd) · standardization from the Scout census

Who he is

Identity
Accredited by NCAA box score (ESPN id 5095152, corroborated by season and school)
Position
Shooting guard/Small forward
Team / school
Baylor Bears · Freshman · 2026-27 destination per the mocks: St. John's
Country
Benin
Born
no data
Height
196 cm · official NCAA roster 2025-26 (ESPN)
Weight
98 kg

The games with a box score in the measured season

2025-26Opponentopp. ratingminptsrebast
2026-04-04Oklahoma Sooners L 69-82 · Postemporada+5.5381550box score
2026-04-02@ Minnesota Golden Gophers W 67-48 · Postemporada+0.9351972box score
2026-03-10@ Arizona State Sun Devils L 79-83 · Conference Tournament−2.0351462box score
2026-03-07Utah Utes W 101-75−4.7312654box score
2026-03-05@ Houston Cougars L 64-77+14.53820122box score
2026-03-01@ UCF Knights W 87-86+2.331980box score
2026-02-25Arizona Wildcats L 80-87+16.8321240box score
2026-02-21Arizona State Sun Devils W 73-68−2.0351631box score
2026-02-18@ Kansas State Wildcats L 74-90−2.3371471box score
2026-02-14Louisville Cardinals L 71-82+11.7361641box score
2026-02-11BYU Cougars L 94-99+8.1403763box score
2026-02-07@ Iowa State Cyclones L 69-72+16.4401731box score
2026-02-05Colorado Buffaloes W 86-67+0.4382771box score
2026-01-31@ West Virginia Mountaineers W 63-53+4.9331131box score
2026-01-28@ Cincinnati Bearcats L 57-67+5.5361672box score
2026-01-24TCU Horned Frogs L 90-97+5.3262180box score
2026-01-21Texas Tech Red Raiders L 73-92+7.234921box score
2026-01-17@ Kansas Jayhawks L 62-80+6.1382072box score
2026-01-14@ Oklahoma State Cowboys W 94-79+0.7312350box score
2026-01-10Houston Cougars L 55-77+14.5281162box score
2026-01-08Iowa State Cyclones L 60-70+16.4321081box score
2026-01-03@ TCU Horned Frogs L 63-69+5.3321051box score
2025-12-29Arlington Baptist Patriots W 124-61unrated302875box score
2025-12-21Southern Jaguars W 111-67+1.7292886box score
2025-12-20Alcorn State Braves W 113-56−13.3261753box score
2025-12-10Norfolk State Spartans W 97-67+2.6281742box score
2025-12-06@ Memphis Tigers L 71-78−1.5342250box score
2025-12-03Sacramento State Hornets W 110-88−4.3282761box score
2025-11-27@ San Diego State Aztecs W 91-81+7.2311872box score
2025-11-25St. John's Red Storm L 81-96+11.3321591box score
2025-11-24Creighton Bluejays W 81-740.0321151box score
2025-11-15Tarleton State Texans W 94-81+1.1221232box score
2025-11-10Washington Huskies W 78-69+3.5331352box score
2025-11-04UT Rio Grande Valley Vaqueros W 96-81+6.4302471box score

Evidence and provenance

Every figure in this file comes from one of these sources, with its scope and its sample. What is not here has not been measured.

OwnerScopeSample
Outside consensusdraft_board_mock · lib/bigboard.ts2 mocksTankathon #17 · nbadraftroom #24
Identitydraft_board_prospect.espn_athlete_id · scripts/cross_bigboard_stats.mjsNCAA Division I5095152
Seasonncaa_player_box + ncaa_game · lib/scout/ejes.mjsNCAA 2025-26 · Baylor Bears34 of 34 games with a box score
Opponent qualitylib/draft/sql_rival.mjs (ncaa_game, ≥10 pj)NCAA 2025-2633 / 34
zncaa_season_profile (scripts/scout_perfil_ncaa.mjs)NCAA 2025-26standardization from the Scout census
SW ranklib/draft/modelo.ts · lib/draft/calibracion.json2005-2021n=26,550 · AUC 0.897
The player within his teamncaa_player_box (rolDe · fórmulas B-R)NCAA 2025-2634 pj
The teamncaa_standings · ncaa_ranking · ncaa_gameNCAA 2025-26Big 12 Conference
Comparables and outlook (Scout)scout_nba_outlook (scripts/scout_outlook.mjs)NCAA 2025-2634 pj · 2026-09-13
Combineplayer_combine · lib/basketball/fisico.tsNBA Draft Combine 2026nombre_unico_en_ventana_y_no_drafteado · 2024-2026
Physicalncaa_player (ESPN, 2026)NCAA 2025-26196 cm · 98 kg
Rank historydraft_sw_board_snapshot · draft_board_mock_snapshot (mig 0329)20277
Measured season 2025-26: our base has a box score for 6,297 of 6,300 games (100%). By month: 11/25 100 % · 12/25 100 % · 01/26 100 % · 02/26 100 % · 03/26 100 % · 04/26 100 %.

Declared limits

  • · No adjustment for age or class (the historical census lacks them): bias in favour of the productive veteran.
  • · Physical measurements and the combine are not in the model: they are shown as context.
  • · Calibrated on the NCAA only: ACB, EuroLeague and FIBA are not scored.
  • · The mocks' history starts on 2026-09-13: before that date there is none (the ingester overwrote them daily).