SportiveWorldSportiveWorld
Motiejus Krivas

Motiejus Krivas

Arizona Wildcats · NCAA Division I · Center · Junior · 2.18 m

SportiveWorld evaluation

SW#8Projection Top 10Modelled
Potential · HighConfidence · HighMarket #17·SW +9

Main reading

His model rank rests on the environment (Arizona Wildcats); on his signals alone, #10 of 39.

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: 39 of the team's 39 games) · Board computed on 2026-09-20 15:05 UTC · served from cache (38 min ago; recomputed every hour)

Why he is here

#2
NCAA model · of 39
81 %
NBA career prob.
NCAA model · Model weight in his rank: 67 %
Leans on contextHigh convictionReliability · highProfile · Rim-protecting big

The NCAA model places him #2 of 39: the bet is the environment (Arizona Wildcats, opponent +6.1), not individual dominance — on his signals alone he would be #10. The market has him 15 places lower (#17).

Measured over 39 games with a box score · 2025-26 · Arizona Wildcats

  • fact81 % probability of an NBA career (≥ 2,000 min). On the model's scale: context +4.65 · player +1.69. With average opponent and team, the same profile would give 3.8 %; on the environment alone, 44 %.
  • factMeasured environment: Arizona Wildcats, strength +16.8 (+2.5 sd) · average opponent +6.1 (+2.6 sd) — environment #4 of 39 ranked
  • factHis individual signal adding the most: Blocks per 40 3.0 (+3.1 sd · contribution +1.17). On his individual signals alone he would be #10 of 39.
  • factHistorical comparables: 17 of 79 similar university seasons reached the NBA (22 %) — #6 of 36 ranked in that lens. The model gives him 92 % 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 position is a bet on having performed in one of the country's best environments: the model rewards surviving and producing against that schedule. What we do not know is how much of it travels with him to another team and another role.

Production
+1.99
Efficiency
−0.27
Minutes
−0.03
Opponent quality + Team strength
+4.65
3.8 %
On his signals alone
44 %
On his environment alone
#10
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: #8 → #8 · Same rank as in the earlier snapshot. · 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 · HighConfidence · High

factStarts from the NCAA model: 81% probability of an NBA career (#2 of 39 measured).Elite

  • The market (#17) sees him two bands below the model: down one level.
  • On his individual signals alone he would be #10 of 39 (≥ 8 places worse than his model #2): his rank rests on the environment. Down 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 · Arizona Wildcats · 10.4p · 8.2r · 1.1a · 25.2 min · 39 of 39 games with a box score · TS 65.0 %

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
2025-263925.216.512.91.72.265.0 %
Opponents +8 or better1312-126.812.412.11.51.455.9 %
Other opponents2624-224.418.813.41.92.669.1 %
Postseason87-126.913.611.92.01.758.3 %
Away / neutral1211-126.515.313.21.51.856.9 %

Strengths

Signals that add the most

Opponent quality +6.1 (+2.6 SD)
+2.52
Team strength +16.8 (+2.5 SD)
+2.14
Blocks per 40 3.0 (+3.1 SD)
+1.17

What travels: holds up against strong opponents

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

Free-throw rate (FTA/FGA) 70.3 % (+2.1 SD)
−0.34
Assists per 40 1.7 (−0.7 SD)
−0.15
  • Trajectory: −2.0 pts/40 vs 2023-24
  • Junior: the model does not adjust for age or class; the same production from a freshman projects higher

Would make us move him down

  • The performance not travelling: without the Arizona Wildcats environment his signals leave him #10 of 39
  • Age: we do not adjust for it (Junior); the same production from a freshman projects higher
  • More sources consolidating the consensus #17

Would make us move him up

  • More scoring per 40 min: today 16.5 (+0.3 sd)
  • Combine measurements (wingspan, reach, athleticism): we do not have them today
  • The same performance in another context (another role, a team other than Arizona Wildcats): it would separate the player from his environment

What to watch until the Draft

  • The 2026-27 season: every new box score is measured and can move the rank
  • The 2027 Combine (May): wingspan, reach and athleticism we do not have today
  • The mocks: captured daily; today the consensus is 2 source(s)
  • His minutes (25.2 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 39 of 39 games (100%) · 25.2 min (63% of the available minutes)
  • ·Usage 18.0% of his team's possessions while on the floor · 19% of its points
  • ·Creation: assists 7.1% of his teammates' baskets while on the floor · 0.80 assists per turnover · 14.5% of his possessions end in a turnover
  • ·Team record with him on the floor: 36-3 · estimated pace 71.1 possessions per 40 min

His team and schedule

  • ·Arizona Wildcats · Big 12 Conference · 29-2 in the standings · 16-2 in conference
  • ·Latest poll: Coaches Poll, week 21, #3 (36-3)
  • ·Postseason with a box score: 8 games, 5 in the NCAA Tournament (up to Final Four)
  • ·Team strength +16.8 (+2.5 sd in the cohort) · average opponent +6.1 (+2.6 sd): the model's two context signals

Development

2025-26
Arizona Wildcats
10.4p · 8.2r · 1.1a · 25.2 min · TS 65.0 %
39 of 39 games with a box score
81 %
2024-25
Arizona Wildcats
7.0p · 5.5r · 2.0a · 15.3 min · TS 58.2 %
4 of 37 games with a box score
2023-24
Arizona Wildcats
5.8p · 4.4r · 0.4a · 12.6 min · TS 62.5 %
31 of 36 games with a box score
12 %

Versus 2023-24: −2.0 pts/40 · +2.5 % TS · +0.6 ast/40 · −0.9 reb/40 · +12.6 min · SW score +69 pp · 2024-25 skipped: 4 games with a box score

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.

fact17 of the 79 university seasons most like his 2025-26 reached the NBA (22 %) · statistical archetype: Rim-protecting big

Ceiling
Al Horford
36,900 NBA min · pick #3
Expected
Khem Birch
4,830 NBA min · undrafted
Floor
Eric Moreland
897 NBA min · undrafted

NBA twins · what they share

Taj Gibson d 1.69 · 23,182 NBA minBlocks per 40 +3.3 · True shooting (TS%) +1.6 · Share of threes −1.4
Xavier Tillman d 1.77 · 4,359 NBA minBlocks per 40 +3.0 · Rebounding per 40 +2.3 · True shooting (TS%) +1.7 · Share of threes −1.3
Donta Hall d 1.78 · 313 NBA minRebounding per 40 +2.4 · Offensive rebounding per 40 +2.2 · Free-throw rate (FTA/FGA) +1.9 · True shooting (TS%) +1.7

Computed on 2025-26 (39 games) · 2026-09-13

Combine

No Combine measurements: he does not appear in the 2024-2026 combines (or does not match uniquely by name). The physique above is what his programme lists, not a measurement.

Market vs SportiveWorld

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

#17
Market
+15
Gap
#2
SW rank · of 39
Tankathon#24nbadraftroom#92 cited publication(s)· #6 by consensus among the 39 SW-ranked

factExternal consensus #17 (Tankathon #24 · nbadraftroom #9; 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

Leans on context
  • On his individual signals alone (average opponent and team) he would be #10 of 39: +8 places versus SW #2, with a 3.8 % probability
  • On his environment alone (opponent and team) he would be #4 of 39, with 44 %
  • The comparables lens places him in the same zone of the board: #6 of 36 versus SW #2. A relative rank, not a rate: 22 % of 79 similar seasons reached the NBA; the model gives him 92 % 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. 5 of 6 factors in favour.
  • Sample: 39 of 39 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 (#10 versus #2)
  • Historical comparables agree on the zone (#6 of 36 versus SW #2)
  • Trajectory in favour: +69 pp of probability versus 2023-24
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 #2 · consensus #17: 15 places higher. Pushing up: Opponent quality · Team strength · Box-score defence · Production. Holding back: Efficiency · Creation. Consensus sources: 2.

unknownWe know the consensus rank (#17: Tankathon #24 · nbadraftroom #9). We do not know why they place him there: the sources publish rankings, not reasons.

Pushes the rank up

Opponent quality +2.52
Opponent quality +6.1 (z +2.6)
Team strength +2.14
Team strength +16.8 (z +2.5)
Box-score defence +1.10
Steals per 40 1.1 (z −0.4) · Blocks per 40 3.0 (z +3.1)
Production +1.04
Scoring per 40 16.5 (z +0.3) · Rebounding per 40 12.9 (z +2.5) · Offensive rebounding per 40 4.9 (z +2.4)

Holds the rank back

Efficiency −0.22
True shooting (TS%) 65.0 % (z +1.6) · Shot volume per 40 9.7 (z −0.7) · Free-throw rate (FTA/FGA) 70.3 % (z +2.1)
Creation −0.16
Assists per 40 1.7 (z −0.7) · Turnovers per 40 2.2 (z −0.0)

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

  • Age and class (Junior): the model does not adjust for them and favours the productive veteran
  • Physique and athleticism: no Combine measurements; only the listed height
  • Projection, film and future role: not in the box score

No appreciable weight · Outside shooting −0.06 · Minutes −0.03

Rank history
#1#10#1909-1309-1409-1509-1609-1709-1809-20
SWConsensus

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

Movement in the mocks

nbadraftroom: 09-13 #9 → 09-14 #9 → 09-15 #9 → 09-16 #9 → 09-17 #9 → 09-18 #9 → 09-20 #9
Tankathon: 09-13 #24 → 09-14 #24 → 09-15 #24 → 09-16 #24 → 09-17 #24 → 09-18 #24 → 09-20 #24

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
+6.1
+2.52
Team strength
+16.8
+2.14
Blocks per 40
3.0
+1.17
Rebounding per 40
12.9
+0.67
Scoring per 40
16.5
+0.28
Shot volume per 40
9.7
+0.23
Offensive rebounding per 40
4.9
+0.10
Three-point accuracy
0.00
Turnovers per 40
2.2
−0.00
Minutes per game
25.2 min
−0.03
Share of threes
5.4 %
−0.05
Steals per 40
1.1
−0.07
True shooting (TS%)
65.0 %
−0.11
Assists per 40
1.7
−0.15
Free-throw rate (FTA/FGA)
70.3 %
−0.34

Calibrated probability of an NBA career of ≥ 2,000 minutes, given this season = 80.7 % · P(playing in the NBA) = 91.5 %

39 of 39 games with a box score · 21 conference · Average opponent +6.1 (+2.6 sd vs the cohort) · team +16.8 (+2.5 sd) · standardization from the Scout census

Who he is

Identity
Accredited by NCAA box score (ESPN id 5174954, corroborated by season and school)
Position
Center
Team / school
Arizona Wildcats · Junior
Country
Lithuania
Born
no data
Height
218 cm · official NCAA roster 2025-26 (ESPN)
Weight
118 kg

The games with a box score in the measured season

2025-26Opponentopp. ratingminptsrebast
2026-04-05Michigan Wolverines L 73-91 · Final Four+17.8281161box score
2026-03-29Purdue Boilermakers W 79-64 · NCAA Tournament+11.1356123box score
2026-03-27Arkansas Razorbacks W 109-88 · NCAA Tournament+9.2231452box score
2026-03-23Utah State Aggies W 78-66 · NCAA Tournament+11.43211142box score
2026-03-20Long Island University Sharks W 92-58 · NCAA Tournament+1.922972box score
2026-03-14Houston Cougars W 79-74 · Conference Tournament+14.525660box score
2026-03-13Iowa State Cyclones W 82-80 · Conference Tournament+16.427740box score
2026-03-12UCF Knights W 81-59 · Conference Tournament+2.3239101box score
2026-03-08@ Colorado Buffaloes W 89-79+0.4251070box score
2026-03-03Iowa State Cyclones W 73-57+16.4241330box score
2026-02-28Kansas Jayhawks W 84-61+6.13113101box score
2026-02-25@ Baylor Bears W 87-80+5.3271241box score
2026-02-21@ Houston Cougars W 73-66+14.525451box score
2026-02-19BYU Cougars W 75-68+8.125571box score
2026-02-14Texas Tech Red Raiders L 75-78+7.23810111box score
2026-02-10@ Kansas Jayhawks L 78-82+6.13114154box score
2026-02-07Oklahoma State Cowboys W 84-47+0.7211090box score
2026-01-31@ Arizona State Sun Devils W 87-74−2.0231540box score
2026-01-27@ BYU Cougars W 86-83+8.121280box score
2026-01-24West Virginia Mountaineers W 88-53+4.92311123box score
2026-01-22Cincinnati Bearcats W 77-51+5.5301791box score
2026-01-17@ UCF Knights W 84-77+2.33017121box score
2026-01-15Arizona State Sun Devils W 89-82−2.020441box score
2026-01-10@ TCU Horned Frogs W 86-73+5.3278100box score
2026-01-08Kansas State Wildcats W 101-76−2.32925120box score
2026-01-03@ Utah Utes W 97-78−4.717740box score
2025-12-30South Dakota State Jackrabbits W 99-71+2.62313111box score
2025-12-23Bethune-Cookman Wildcats W 107-71−1.6181450box score
2025-12-21San Diego State Aztecs W 68-45+7.2253131box score
2025-12-17Abilene Christian Wildcats W 96-62−2.1181521box score
2025-12-14@ Alabama Crimson Tide W 96-75+8.52914141box score
2025-12-07Auburn Tigers W 97-68+4.223891box score
2025-11-29Norfolk State Spartans W 98-61+2.6262091box score
2025-11-25Denver Pioneers W 103-730.017743box score
2025-11-20@ UConn Huskies W 71-67+11.4299141box score
2025-11-15@ UCLA Bruins W 69-65+6.0341083box score
2025-11-12Northern Arizona Lumberjacks W 84-49−5.1171271box score
2025-11-08Utah Tech Trailblazers W 93-67+1.917642box score
2025-11-04Florida Gators W 93-87+15.626681box 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 #24 · nbadraftroom #9
Identitydraft_board_prospect.espn_athlete_id · scripts/cross_bigboard_stats.mjsNCAA Division I5174954
Seasonncaa_player_box + ncaa_game · lib/scout/ejes.mjsNCAA 2025-26 · Arizona Wildcats39 of 39 games with a box score
Opponent qualitylib/draft/sql_rival.mjs (ncaa_game, ≥10 pj)NCAA 2025-2639 / 39
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 2025-2639 pj
The teamncaa_standings · ncaa_ranking · ncaa_gameNCAA 2025-26Big 12 Conference
Comparables and outlook (Scout)scout_nba_outlook (scripts/scout_outlook.mjs)NCAA 2025-2639 pj · 2026-09-13
Physicalncaa_player (ESPN, 2026)NCAA 2025-26218 cm · 118 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).