Glint

Rival - Mining Legion - 18-10 (0.643)
57 OVR
overall rating (0–100) · 28 games · how is this calculated?
Overall rating 57/100 Tier dominance: 85th (+1.0 SD) Projects as: Rival Role: Playmaker / Striker
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
8
29% of games
Shot %
32%

Per-game production (percentile within Rival)

StatPer gameTotalPercentile in tier
Points 365.18 10225
71st
Goals 0.89 25
73rd
Assists 0.68 19
77th
Saves 1.18 33
29th
Shots 2.82 79
73rd
Demos 0.96 27
50th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Rival
Points365.18 #303 / 1215 #39 / 164
Goals0.89 #256 / 1215 #35 / 164
Assists0.68 #221 / 1215 #31 / 164
Saves1.18 #595 / 1215 #96 / 164
Demos0.96 #457 / 1215 #66 / 164

Season projection

Medium confidence

56% of the season is played (28 → ~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 (126 games across 3 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 10225 18259 18142 18142 17997 – 18286
Goals 25 45 44 43 37 – 51
Assists 19 34 33 33 27 – 39
Saves 33 59 60 60 51 – 68
Shots 79 141 139 137 127 – 152
Demos 27 48 49 47 41 – 56
MVPs 8 14 14 14 10 – 18

Advanced stats (ballchasing)

Advanced OVR 63 /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 358.9
Avg boost 49.8
Boost stolen / game 512.6
% time at 0 boost 9.8%
Avg speed (uu/s) 1524.8
% supersonic 12.0%
% time high in air 4.4%
Avg distance to ball 3333.8
% time attacking third 22.4%
Demos / game 1.0
Demos taken / game 0.6
Shooting % 31.6%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S23Elite23 0.390.481.52 355
S24Veteran64 0.660.691.34 359
S25Veteran39 0.540.561.38 357
S26Rival28 0.890.681.18 359

Beyond RSC - lifetime & other play

External skill estimate: ~57 OVR High confidence — inferred from 303 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 57.
SourceGames RecordWin % Score/g
Lifetime (all)997363-439 45% 324
RSC (official)51-4 20% 294
Non-RSC ranked 3v3303115-116 50% 317
Non-RSC other689247-319 44% 327

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/game0.89 0.88 0.83 – 0.91
Assists/game0.68 0.67 0.61 – 0.71
Saves/game1.18 1.16 1.12 – 1.25
Shots/game2.82 2.76 2.7 – 2.83

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
Kflip11 S24Challenger 0.810.711.17 0.59
Tinsel S25Veteran 0.830.691.29 0.66
Buck S24Elite 0.980.761.17 0.67
ARJ S23Veteran 0.890.611.16 0.75
NoobZ S22Elite 0.830.670.96 0.75
waffles S26Rival 0.870.711.19 0.77
Kirbee S23Elite 0.850.711.06 0.79
scotti S26Elite 1.00.751.14 0.81
Heyzisthename S26Veteran 0.840.621.19 0.85
SayNova S21Veteran 0.880.761.12 0.88

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.