kaden

Premier - Double Mint - 6-7 (0.462)
98 OVR
overall rating (0–100) · 13 games · how is this calculated?
Overall rating 98/100 Tier dominance: 58th (+-0.0 SD) Projects as: Premier Role: Anchor / 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
1
8% of games
Shot %
34%

Per-game production (percentile within Premier)

StatPer gameTotalPercentile in tier
Points 403.15 5241
73rd
Goals 0.77 10
60th
Assists 0.85 11
90th
Saves 2.15 28
96th
Shots 2.23 29
21st
Demos 1.69 22
75th

League ranking (per game, among 1213 players)

StatPer gameOverall rankRank in Premier
Points403.15 #120 / 1213 #14 / 73
Goals0.77 #426 / 1213 #21 / 73
Assists0.85 #66 / 1213 #5 / 73
Saves2.15 #14 / 1213 #2 / 73
Demos1.69 #95 / 1213 #13 / 73

Season projection

Low confidence

64% of the season is played (13 → ~20 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 (12 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 5241 8063 7955 7955 7878 – 8032
Goals 10 15 15 14 12 – 19
Assists 11 17 16 15 13 – 20
Saves 28 43 41 41 36 – 47
Shots 29 45 46 44 40 – 52
Demos 22 34 33 32 28 – 38
MVPs 1 2 2 2 1 – 3

Advanced stats (ballchasing)

From 8 ballchasing replays (matches + scrims). Not enough replays for an Advanced OVR yet.

Boost / min 401.4
Avg boost 41.4
Boost stolen / game 500.5
% time at 0 boost 16.4%
Avg speed (uu/s) 1592.6
% supersonic 18.5%
% time high in air 5.6%
Avg distance to ball 2762.1
% time attacking third 19.9%
Demos / game 1.4
Demos taken / game 1.1
Shooting % 23.7%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S21Master12 0.420.251.42 421
S26Premier13 0.770.852.15 412

Beyond RSC - lifetime & other play

External skill estimate: ~91 OVR Low confidence — inferred from 37 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 98.
SourceGames RecordWin % Score/g
Lifetime (all)728337-261 56% 503
RSC (official)43-1 75% 446
Non-RSC ranked 3v33712-14 46% 371
Non-RSC other687322-246 57% 511

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

Medium 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/game0.77 0.76 0.73 – 0.86
Assists/game0.85 0.69 0.61 – 0.77
Saves/game2.15 1.93 1.79 – 2.0
Shots/game2.23 2.55 2.49 – 2.79

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
takeeover S22Elite 0.750.751.96 1.30
Krueger0216 S17Elite 0.750.751.94 1.63
slain. S26Master 0.960.652.0 1.72
Colinn S26Elite 0.960.811.96 1.72
takeeover S23Master 0.540.712.07 1.77
Reeves S25Premier 0.80.581.76 1.84
Dokreo S26Veteran 0.660.751.84 1.89
Paz lol S25Elite 0.680.681.79 1.92
Lonely S18Elite 0.751.02.0 1.99
Sakuta S24Elite 0.770.612.02 2.00

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.