ReL Corsa

Elite - Kings - 5-9 (0.357)
74 OVR
overall rating (0–100) · 14 games · how is this calculated?
Overall rating 74/100 Tier dominance: 12th (-1.1 SD) Projects as: Elite 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
7% of games
Shot %
17%

Per-game production (percentile within Elite)

StatPer gameTotalPercentile in tier
Points 324.43 4542
22nd
Goals 0.36 5
5th
Assists 0.29 4
3rd
Saves 1.79 25
92nd
Shots 2.07 29
13th
Demos 1.29 18
71st

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Elite
Points324.43 #625 / 1215 #101 / 179
Goals0.36 #887 / 1215 #122 / 179
Assists0.29 #860 / 1215 #125 / 179
Saves1.79 #75 / 1215 #10 / 179
Demos1.29 #225 / 1215 #38 / 179

Season projection

Low confidence

56% of the season is played (14 → ~25 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 (63 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 4542 8111 8231 8231 8136 – 8327
Goals 5 9 11 11 7 – 14
Assists 4 7 8 7 5 – 12
Saves 25 45 43 43 36 – 50
Shots 29 52 54 56 46 – 62
Demos 18 32 31 30 26 – 37
MVPs 1 2 2 2 1 – 4

Advanced stats (ballchasing)

Advanced OVR 29 /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 425.3
Avg boost 46.7
Boost stolen / game 720.6
% time at 0 boost 14.3%
Avg speed (uu/s) 1572.5
% supersonic 15.6%
% time high in air 4.7%
Avg distance to ball 3134.8
% time attacking third 22.6%
Demos / game 1.5
Demos taken / game 1.6
Shooting % 12.6%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S25Elite63 0.730.321.46 444
S26Elite10 0.30.41.7 425

Beyond RSC - lifetime & other play

External skill estimate: ~80 OVR High confidence — inferred from 366 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 74.
SourceGames RecordWin % Score/g
Lifetime (all)1061398-395 50% 383
RSC (official)83-3 50% 358
Non-RSC ranked 3v3366147-110 57% 353
Non-RSC other687248-282 47% 400

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/game0.3 0.48 0.4 – 0.56
Assists/game0.4 0.5 0.42 – 0.55
Saves/game1.7 1.62 1.54 – 1.67
Shots/game2.4 2.31 2.09 – 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
GreenSleeves S24Premier 0.430.431.64 0.94
Foam S25Master 0.430.51.63 1.24
(Jay) S24Master 0.560.561.75 1.36
Ditto S23Elite 0.490.511.67 1.41
BIGbadBULLMAN13 S23Veteran 0.460.561.46 1.45
Jammin S26Elite 0.70.41.7 1.52
Creme S19Veteran 0.380.381.5 1.54
Cuddlingus S21Prospect 0.40.51.9 1.57
Jay S26Premier 0.390.441.67 1.57
Cytrus- S20Rival 0.420.581.67 1.57

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.