Tartan

Premier - FA - 3-1 (0.750)
👤 Career - also played as Lonzo Ball, Tartan ^.^
100 OVR
overall rating (0–100) · 4 games · how is this calculated?
Overall rating 100/100 Tier dominance: 98th (+2.2 SD) Projects as: Premier Role: Striker / Playmaker
How are these calculated?

Composite: each per-game stat (goals, assists, saves, shots, demos, shooting %, MVPs) is turned into a z-score vs the player's tier peers, weighted by how much it correlates with winning, summed, then shrunk toward the tier average for small samples (games / (games + 8)).

Tier dominance: that composite expressed two ways - a percentile within the tier (rank), and a margin in standard deviations above the tier average (how big an outlier). The margin is what flags genuine outliers vs. someone merely top of a tight tier.

Overall rating (0-100): the composite plus a tier-strength bonus (Premier counts most), turned into a league-wide percentile - so it's comparable across tiers, unlike tier dominance.

Projects as: re-sorting every player by overall skill into the tiers' real sizes, the tier this player would land in. Projecting up a tier (and being an outlier) = "overskilled." A model estimate.

MVPs
3
75% of games
Shot %
42%

Per-game production (percentile within Premier)

StatPer gameTotalPercentile in tier
Points 656.75 2627
98th
Goals 2.75 11
98th
Assists 0.75 3
77th
Saves 1.5 6
54th
Shots 6.5 26
98th
Demos 1.0 4
31st

League ranking (per game, among 1213 players)

StatPer gameOverall rankRank in Premier
Points656.75 #1 / 1213 #1 / 73
Goals2.75 #1 / 1213 #1 / 73
Assists0.75 #119 / 1213 #8 / 73
Saves1.5 #241 / 1213 #21 / 73
Demos1.0 #381 / 1213 #31 / 73

Season projection

Low confidence

64% of the season is played (4 → ~6 games). Projected (this season) blends the current rate with the tier average (regression to the mean). Projected (all data) instead regresses toward the player’s own career rate (71 games across 3 past seasons). Pace is the naive "keep current rate" number. Range = 80% prediction interval on the this-season projection.

Stat Now Pace Projected (season) Projected (all data) 80% range
Points 2627 3940 3549 3549 3507 – 3591
Goals 11 16 14 14 12 – 16
Assists 3 4 4 4 3 – 6
Saves 6 9 9 9 7 – 11
Shots 26 39 34 34 30 – 38
Demos 4 6 6 6 4 – 8
MVPs 3 4 4 4 3 – 5

Advanced stats (ballchasing)

From 4 ballchasing replays (matches + scrims). Not enough replays for an Advanced OVR yet.

Boost / min 352.6
Avg boost 54.6
Boost stolen / game 615.2
% time at 0 boost 6.8%
Avg speed (uu/s) 1484.3
% supersonic 12.6%
% time high in air 5.8%
Avg distance to ball 3162.6
% time attacking third 21.1%
Demos / game 1.0
Demos taken / game 0.8
Shooting % 42.3%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Premier4 1.01.251.75 377
S21Premier8 0.750.621.88 374
S22Premier47 0.980.661.45 370
S23Premier16 0.750.691.5 386
S26Premier4 2.750.751.5 353

Beyond RSC - lifetime & other play

External skill estimate: ~81 OVR High confidence — inferred from 830 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 100.
SourceGames RecordWin % Score/g
Lifetime (all)28431227-1033 54% 413
RSC (official)31-2 33% 351
Non-RSC ranked 3v3830341-294 54% 355
Non-RSC other2010885-737 55% 437

From public ballchasing replays (score-based, so no goals/saves breakdown). Non-RSC play tracks a player's overall level well but not their standing within a tier — see the ratings notes. Only players with a Steam id and uploaded public games appear here.

Historical analysis - data: Official · All seasons (change in the nav)

Comparable-based outlook

High confidence

Where the 25 most similar players from 11 completed past season(s) landed for each per-game stat (median + middle-50% range). A "players like you finished here" anchor that complements the pace projection above.

StatThis seasonComparables medianTypical range
Goals/game0.75 0.77 0.73 – 0.82
Assists/game0.69 0.66 0.62 – 0.72
Saves/game1.5 1.49 1.42 – 1.56
Shots/game2.62 2.46 2.39 – 2.54

Most similar players (across RSC history)

Nearest matches by per-game production & play-style (goals, assists, saves, shots, boost, speed, positioning, demos), standardized across 6659 player-seasons. Lower distance = more similar.

PlayerSeasonTierGoals/gAssists/gSaves/gSimilarity
buxter S23Elite 0.850.661.44 0.64
AcX S23Master 0.760.641.56 0.66
Kri0s S25Master 0.760.71.54 0.73
Joxtrot S22Master 0.820.661.41 0.80
hi stats its Snack Time! S22Master 0.790.721.46 0.81
Danub S24Rival 0.710.591.31 0.84
Rule S23Premier 0.60.621.49 0.86
Ninji <3 S23Challenger 0.930.661.38 0.87
Infinite S23Master 0.650.631.49 0.90
Captain Daddy S22Veteran 0.810.771.46 0.91

Descriptive comparables - cross-season stat scales can shift, and players who changed names between seasons won't link.


Data source: live (rscna.com) - standings & schedule refresh hourly.