Mezmer

Master - Lemurs - 11-19 (0.367)
85 OVR
overall rating (0–100) · 30 games · how is this calculated?
Overall rating 85/100 Tier dominance: 1st (-2.1 SD) Projects as: Elite ↓ 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
0
0% of games
Shot %
19%

Per-game production (percentile within Master)

StatPer gameTotalPercentile in tier
Points 315.17 9455
19th
Goals 0.43 13
10th
Assists 0.47 14
33rd
Saves 1.53 46
67th
Shots 2.3 69
31st
Demos 0.83 25
27th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Master
Points315.17 #675 / 1215 #63 / 107
Goals0.43 #857 / 1215 #70 / 107
Assists0.47 #617 / 1215 #51 / 107
Saves1.53 #223 / 1215 #26 / 107
Demos0.83 #564 / 1215 #56 / 107

Season projection

High confidence

60% of the season is played (30 → ~50 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 (121 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 9455 15758 15902 15902 15775 – 16029
Goals 13 22 23 24 18 – 28
Assists 14 23 24 25 19 – 28
Saves 46 77 76 76 67 – 85
Shots 69 115 116 117 105 – 127
Demos 25 42 43 41 36 – 50
MVPs 0 0 1 1 0 – 2

Advanced stats (ballchasing)

Advanced OVR 7 /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 354.5
Avg boost 45.4
Boost stolen / game 420.1
% time at 0 boost 14.7%
Avg speed (uu/s) 1474.3
% supersonic 9.0%
% time high in air 4.4%
Avg distance to ball 2873.5
% time attacking third 20.5%
Demos / game 0.8
Demos taken / game 1.5
Shooting % 18.8%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Elite1 0.01.01.0 374
S22Elite6 0.170.671.67 328
S24Elite62 0.920.771.29 356
S25Master59 0.590.781.46 363
S26Master26 0.460.541.54 354

Beyond RSC - lifetime & other play

External skill estimate: ~68 OVR High confidence — inferred from 1402 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 85.
SourceGames RecordWin % Score/g
Lifetime (all)46791919-1774 52% 366
RSC (official)4317-22 44% 339
Non-RSC ranked 3v31402514-532 49% 335
Non-RSC other32341388-1220 53% 381

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 0.55 0.51 – 0.61
Assists/game0.54 0.5 0.46 – 0.56
Saves/game1.54 1.52 1.41 – 1.62
Shots/game2.31 2.29 2.14 – 2.42

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
Cart S22Master 0.510.61.43 0.82
steel.reserve S25Elite 0.540.541.48 0.85
Tankersrul S22Challenger 0.60.551.55 0.86
Sly S25Rival 0.580.581.33 0.90
CHAZZtheDR S19Rival 0.50.51.75 0.97
Glint S23Elite 0.390.481.52 0.98
cowtooth S19Rival 0.50.621.25 1.04
DizzieIsBae S26Challenger 0.670.441.39 1.04
Fineapple S13Veteran 0.50.621.62 1.08
Synbad- S24Veteran 0.570.461.54 1.09

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.