7aco104

Challenger - Meat Lovers - 18-15 (0.545)
39 OVR
overall rating (0–100) · 33 games · how is this calculated?
Overall rating 39/100 Tier dominance: 60th (+0.0 SD) Projects as: Challenger Role: 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
4
12% of games
Shot %
29%

Per-game production (percentile within Challenger)

StatPer gameTotalPercentile in tier
Points 331.94 10954
45th
Goals 0.76 25
51st
Assists 0.61 20
66th
Saves 1.18 39
35th
Shots 2.64 87
60th
Demos 0.91 30
50th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Challenger
Points331.94 #566 / 1215 #73 / 166
Goals0.76 #454 / 1215 #65 / 166
Assists0.61 #338 / 1215 #44 / 166
Saves1.18 #590 / 1215 #86 / 166
Demos0.91 #509 / 1215 #66 / 166

Season projection

High confidence

60% of the season is played (33 → ~55 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 (218 games across 5 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 10954 18257 18297 18297 18161 – 18433
Goals 25 42 42 44 35 – 48
Assists 20 33 33 33 27 – 39
Saves 39 65 65 64 57 – 74
Shots 87 145 144 148 132 – 156
Demos 30 50 50 51 43 – 57
MVPs 4 7 7 7 4 – 9

Advanced stats (ballchasing)

Advanced OVR 44 /100

From 29 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 404.2
Avg boost 42.6
Boost stolen / game 477.1
% time at 0 boost 16.1%
Avg speed (uu/s) 1536.9
% supersonic 14.0%
% time high in air 4.2%
Avg distance to ball 2789.2
% time attacking third 20.6%
Demos / game 1.0
Demos taken / game 0.6
Shooting % 27.8%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Amateur7 1.140.141.14 263
S21Amateur16 1.810.441.12 317
S22Contender48 1.620.851.1 379
S23Challenger45 0.760.41.18 372
S24Challenger56 0.950.451.02 381
S25Challenger53 0.890.741.09 385
S26Challenger29 0.620.621.1 404

Beyond RSC - lifetime & other play

External skill estimate: ~55 OVR High confidence — inferred from 374 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 39.
SourceGames RecordWin % Score/g
Lifetime (all)56032573-2046 56% 363
RSC (official)4018-10 64% 339
Non-RSC ranked 3v3374140-158 47% 313
Non-RSC other51892415-1878 56% 367

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/game0.62 0.65 0.61 – 0.7
Assists/game0.62 0.6 0.57 – 0.66
Saves/game1.1 1.12 0.98 – 1.18
Shots/game2.41 2.36 2.27 – 2.5

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
Cundy S19Veteran 0.640.571.14 0.77
RealRoice_IsGetz S24Veteran 0.630.491.05 0.81
SqueezySponge. S24Challenger 0.60.60.98 0.82
Ghostie S18Rival 0.50.671.17 0.82
nave S26Premier 0.640.551.09 0.83
Pablo v2 S20Prospect 0.680.571.26 0.85
Ex ample S23Challenger 0.70.61.18 0.86
Turtle_Supreme S24Rival 0.550.571.1 0.86
Squeeezi S25Challenger 0.640.660.96 0.90
Rose_Havoc97 S24Elite 0.50.640.96 0.90

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.