GamerNamedLouis

Challenger - Warbirds - 23-5 (0.821)
40 OVR
overall rating (0–100) · 28 games · how is this calculated?
Overall rating 40/100 Tier dominance: 68th (+0.3 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
14% of games
Shot %
31%

Per-game production (percentile within Challenger)

StatPer gameTotalPercentile in tier
Points 349.68 9791
59th
Goals 0.86 24
66th
Assists 0.68 19
80th
Saves 1.18 33
34th
Shots 2.75 77
71st
Demos 0.79 22
41st

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Challenger
Points349.68 #427 / 1215 #55 / 166
Goals0.86 #306 / 1215 #44 / 166
Assists0.68 #221 / 1215 #25 / 166
Saves1.18 #595 / 1215 #87 / 166
Demos0.79 #606 / 1215 #77 / 166

Season projection

High confidence

60% of the season is played (28 → ~47 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 (33 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 9791 16435 16400 16400 16271 – 16528
Goals 24 40 40 39 34 – 46
Assists 19 32 31 30 26 – 37
Saves 33 55 56 55 48 – 63
Shots 77 129 128 127 117 – 140
Demos 22 37 38 36 31 – 44
MVPs 4 7 7 7 4 – 9

Advanced stats (ballchasing)

Advanced OVR 48 /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 361.7
Avg boost 49.6
Boost stolen / game 455.8
% time at 0 boost 12.1%
Avg speed (uu/s) 1516.1
% supersonic 12.8%
% time high in air 4.7%
Avg distance to ball 3372.7
% time attacking third 20.6%
Demos / game 0.8
Demos taken / game 0.7
Shooting % 33.0%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S25Challenger33 0.610.361.18 398
S26Challenger29 0.860.661.14 362

Beyond RSC - lifetime & other play

External skill estimate: ~60 OVR High confidence — inferred from 331 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 40.
SourceGames RecordWin % Score/g
Lifetime (all)879322-361 47% 384
RSC (official)10-1 0% 138
Non-RSC ranked 3v3331113-140 45% 321
Non-RSC other547209-220 49% 423

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/game0.86 0.87 0.83 – 0.9
Assists/game0.66 0.62 0.55 – 0.67
Saves/game1.14 1.12 1.06 – 1.21
Shots/game2.76 2.7 2.64 – 2.74

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
gravy-_-is tired S26Prospect 0.760.621.17 0.70
Absolutely TOR S26Veteran 0.780.591.19 0.75
JustABurgerGuy S25Veteran 0.80.61.15 0.75
GeneralZippy S26Premier 0.740.641.06 0.79
silence4073 S23Veteran 0.830.551.07 0.79
Kayo. S23Rival 0.860.621.16 0.80
CN Tyson S23Challenger 0.850.621.0 0.80
Oddtrip S24Elite 0.80.691.05 0.81
ARJ S24Veteran 0.970.731.19 0.81
Kirbee S23Elite 0.850.711.06 0.81

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.