Calster

Master - Olympic Knights - 17-11 (0.607)
92 OVR
overall rating (0–100) · 28 games · how is this calculated?
Overall rating 92/100 Tier dominance: 73rd (+0.6 SD) Projects as: Master 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
9
32% of games
Shot %
32%

Per-game production (percentile within Master)

StatPer gameTotalPercentile in tier
Points 405.29 11348
86th
Goals 0.86 24
69th
Assists 0.57 16
58th
Saves 1.64 46
74th
Shots 2.71 76
59th
Demos 1.18 33
54th

League ranking (per game, among 1213 players)

StatPer gameOverall rankRank in Master
Points405.29 #112 / 1213 #11 / 107
Goals0.86 #318 / 1213 #23 / 107
Assists0.57 #403 / 1213 #33 / 107
Saves1.64 #149 / 1213 #20 / 107
Demos1.18 #279 / 1213 #35 / 107

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 (32 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 11348 19048 18820 18820 18683 – 18957
Goals 24 40 40 38 33 – 46
Assists 16 27 27 29 21 – 32
Saves 46 77 76 76 67 – 85
Shots 76 128 127 124 116 – 138
Demos 33 55 55 55 48 – 63
MVPs 9 15 14 14 11 – 18

Advanced stats (ballchasing)

Advanced OVR 83 /100

From 28 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 389.5
Avg boost 48.2
Boost stolen / game 490.8
% time at 0 boost 11.5%
Avg speed (uu/s) 1546.7
% supersonic 14.6%
% time high in air 6.1%
Avg distance to ball 2861.2
% time attacking third 19.0%
Demos / game 1.2
Demos taken / game 1.1
Shooting % 34.9%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S22Premier32 0.530.881.34 385
S26Master28 0.860.571.64 390

Beyond RSC - lifetime & other play

External skill estimate: ~99 OVR High confidence — inferred from 2579 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 92.
SourceGames RecordWin % Score/g
Lifetime (all)64182668-2376 53% 421
RSC (official)50-2 0% 320
Non-RSC ranked 3v325791000-946 51% 383
Non-RSC other38341668-1428 54% 446

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 0.83 0.79 – 0.86
Assists/game0.57 0.57 0.49 – 0.62
Saves/game1.64 1.54 1.49 – 1.67
Shots/game2.71 2.65 2.58 – 2.75

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
xPotatodactylx S26Prospect 0.940.471.71 0.72
Rzemb1e S22Master 0.980.571.53 0.84
Stingray S25Elite 0.760.581.7 0.85
Jhammy. S24Veteran 0.820.471.7 0.86
Lucas S25Veteran 0.860.481.58 0.88
Reported. S25Master 0.830.51.61 0.88
voakes S22Rival 1.00.51.69 0.88
Mystik.19 S23Challenger 0.840.441.52 0.89
BigGreenRL S24Veteran 0.730.571.68 0.92
Shai S22Veteran 0.860.451.47 0.93

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.