Inflict

Elite - Teddy Bears - 3-3 (0.500)
76 OVR
overall rating (0–100) · 6 games · how is this calculated?
Overall rating 76/100 Tier dominance: 28th (-0.7 SD) Projects as: Elite Role: Role player
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
0
0% of games
Shot %
33%

Per-game production (percentile within Elite)

StatPer gameTotalPercentile in tier
Points 337.17 2023
30th
Goals 0.67 4
27th
Assists 0.5 3
30th
Saves 1.17 7
27th
Shots 2.0 12
11th
Demos 1.0 6
47th

League ranking (per game, among 1213 players)

StatPer gameOverall rankRank in Elite
Points337.17 #524 / 1213 #89 / 178
Goals0.67 #585 / 1213 #89 / 178
Assists0.5 #509 / 1213 #78 / 178
Saves1.17 #590 / 1213 #91 / 178
Demos1.0 #381 / 1213 #61 / 178

Season projection

Low confidence

50% of the season is played (6 → ~12 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 (65 games across 2 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 2023 4046 4112 4112 4042 – 4182
Goals 4 8 8 8 5 – 12
Assists 3 6 6 7 4 – 9
Saves 7 14 15 15 10 – 19
Shots 12 24 26 24 20 – 32
Demos 6 12 12 11 8 – 16
MVPs 0 0 1 1 0 – 2

Advanced stats (ballchasing)

From 6 ballchasing replays (matches + scrims). Not enough replays for an Advanced OVR yet.

Boost / min 414.6
Avg boost 43.0
Boost stolen / game 414.5
% time at 0 boost 18.0%
Avg speed (uu/s) 1585.7
% supersonic 16.9%
% time high in air 5.3%
Avg distance to ball 3085.0
% time attacking third 20.0%
Demos / game 1.0
Demos taken / game 0.7
Shooting % 27.2%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S24Elite12 0.580.251.42 434
S25Elite53 0.620.761.53 437
S26Elite6 0.670.51.17 415

Beyond RSC - lifetime & other play

External skill estimate: ~73 OVR High confidence — inferred from 148 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 76.
SourceGames RecordWin % Score/g
Lifetime (all)1006371-423 47% 363
RSC (official)3815-15 50% 332
Non-RSC ranked 3v314853-55 49% 343
Non-RSC other820303-353 46% 369

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 0.58 – 0.74
Assists/game0.76 0.63 0.6 – 0.71
Saves/game1.53 1.43 1.37 – 1.5
Shots/game2.04 2.2 2.08 – 2.25

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
phoenixu.u S20Premier 0.650.751.35 1.02
Unexpected S21Master 0.540.931.43 1.21
Taiga S26Elite 0.60.71.4 1.22
Frijole S22Master 0.610.671.44 1.24
Des. S20Rival 0.750.671.17 1.24
Nahzey S23Elite 0.50.671.39 1.30
haileyset S26Rival 0.570.571.43 1.34
Dokreo S26Veteran 0.660.751.84 1.34
ThatHomieGage S25Prospect 0.740.81.49 1.36
MikeSplifff S19Veteran 0.620.621.62 1.39

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.