ShinxX403

Challenger - Panda Bears - 11-18 (0.379)
30 OVR
overall rating (0–100) · 29 games · how is this calculated?
Overall rating 30/100 Tier dominance: 2nd (-1.6 SD) Projects as: Prospect ↓ Below tier level 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
2
7% of games
Shot %
23%

Per-game production (percentile within Challenger)

StatPer gameTotalPercentile in tier
Points 304.41 8828
23rd
Goals 0.45 13
9th
Assists 0.38 11
19th
Saves 1.62 47
85th
Shots 1.97 57
8th
Demos 0.9 26
49th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Challenger
Points304.41 #731 / 1215 #102 / 166
Goals0.45 #845 / 1215 #121 / 166
Assists0.38 #758 / 1215 #108 / 166
Saves1.62 #161 / 1215 #20 / 166
Demos0.9 #519 / 1215 #68 / 166

Season projection

High confidence

60% of the season is played (29 → ~48 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 (178 games across 4 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 8828 14612 14763 14763 14642 – 14885
Goals 13 22 23 24 18 – 28
Assists 11 18 19 19 14 – 23
Saves 47 78 76 76 68 – 85
Shots 57 94 97 100 87 – 106
Demos 26 43 43 43 37 – 50
MVPs 2 3 4 4 2 – 6

Advanced stats (ballchasing)

Advanced OVR 14 /100

From 26 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 329.2
Avg boost 49.4
Boost stolen / game 436.2
% time at 0 boost 9.8%
Avg speed (uu/s) 1444.4
% supersonic 8.9%
% time high in air 2.9%
Avg distance to ball 3143.0
% time attacking third 19.9%
Demos / game 0.9
Demos taken / game 1.2
Shooting % 28.0%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Challenger7 0.430.431.14 303
S21Challenger3 0.670.671.0 328
S22Challenger14 0.640.51.14 279
S23Challenger54 1.260.521.15 294
S24Challenger59 0.90.851.36 315
S25Challenger51 0.720.431.31 306
S26Challenger26 0.460.381.69 329

Beyond RSC - lifetime & other play

External skill estimate: ~49 OVR High confidence — inferred from 263 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 30.
SourceGames RecordWin % Score/g
Lifetime (all)44131782-1670 52% 350
RSC (official)6030-23 57% 365
Non-RSC ranked 3v326393-99 48% 304
Non-RSC other40901659-1548 52% 353

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/game0.46 0.54 0.44 – 0.6
Assists/game0.39 0.4 0.38 – 0.46
Saves/game1.69 1.56 1.5 – 1.75
Shots/game1.92 1.97 1.91 – 2.0

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
Syncopace S17Veteran 0.40.41.8 0.70
renightly S22Challenger 0.440.391.5 0.72
Jaegie S18Challenger 0.380.381.88 0.84
Mulliganisoup S24Challenger 0.520.341.41 1.01
Surge85 S20Rival 0.360.461.82 1.02
Mezmer S17Elite 0.380.251.75 1.03
Synbad- S24Veteran 0.570.461.54 1.03
Gama The Dwarf S25Veteran 0.60.381.58 1.03
xPotatodactylx S24Challenger 0.560.441.5 1.05
Tryhard goblin S21Rival 0.450.51.5 1.06

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.