Wheelchair {LFLegs}

Challenger - Flailers - 3-7 (0.300)
37 OVR
overall rating (0–100) · 10 games · how is this calculated?
Overall rating 37/100 Tier dominance: 46th (-0.3 SD) Projects as: Challenger Role: Anchor
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
1
10% of games
Shot %
35%

Per-game production (percentile within Challenger)

StatPer gameTotalPercentile in tier
Points 348.6 3486
56th
Goals 0.8 8
58th
Assists 0.6 6
62nd
Saves 1.6 16
82nd
Shots 2.3 23
33rd
Demos 0.9 9
48th

League ranking (per game, among 1213 players)

StatPer gameOverall rankRank in Challenger
Points348.6 #435 / 1213 #58 / 166
Goals0.8 #380 / 1213 #55 / 166
Assists0.6 #347 / 1213 #47 / 166
Saves1.6 #169 / 1213 #24 / 166
Demos0.9 #500 / 1213 #68 / 166

Season projection

Low confidence

53% of the season is played (10 → ~19 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 (17 games across 1 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 3486 6623 6594 6594 6507 – 6682
Goals 8 15 15 14 11 – 19
Assists 6 11 11 10 8 – 15
Saves 16 30 29 30 23 – 35
Shots 23 44 45 40 37 – 52
Demos 9 17 17 17 13 – 22
MVPs 1 2 2 2 1 – 4

Advanced stats (ballchasing)

Advanced OVR 53 /100

From 10 ballchasing replays (matches + scrims). Advanced OVR is a percentile among the 762 players with enough replay data - separate from the box-score OVR above.

Boost / min 348.2
Avg boost 40.7
Boost stolen / game 447.1
% time at 0 boost 13.7%
Avg speed (uu/s) 1448.6
% supersonic 11.4%
% time high in air 3.1%
Avg distance to ball 3149.3
% time attacking third 17.7%
Demos / game 0.9
Demos taken / game 0.6
Shooting % 34.5%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S21Challenger4 0.50.02.75 320
S22Rival2 0.00.50.5 318
S24Rival17 0.470.351.53 361
S25Rival5 0.40.01.2 324
S26Challenger10 0.80.61.6 348

Beyond RSC - lifetime & other play

External skill estimate: ~23 OVR High confidence — inferred from 491 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 37.
SourceGames RecordWin % Score/g
Lifetime (all)49441525-2342 39% 305
RSC (official)4416-17 48% 307
Non-RSC ranked 3v3491150-215 41% 263
Non-RSC other44091359-2110 39% 309

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/game0.8 0.73 0.67 – 0.8
Assists/game0.6 0.55 0.5 – 0.62
Saves/game1.6 1.56 1.48 – 1.6
Shots/game2.3 2.32 2.25 – 2.4

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
steel.reserve S21Veteran 0.670.671.58 0.88
Ezio_256 S25Challenger 0.940.551.65 0.91
Whiite Bear S17Prospect 0.750.671.5 0.94
dep! S26Rival 0.710.581.71 0.96
Bazzinga S23Rival 0.80.51.65 0.97
CagiestSafe6 S25Challenger 0.790.661.47 1.00
Lorak S22Challenger 0.670.481.48 1.03
NFURY8 S24Elite 0.750.581.42 1.03
ImPodz S25Contender 0.960.471.55 1.04
(P|F)ineapple S26Elite 0.560.561.56 1.04

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.