MagesticEagle1

Rival - Polar Ice - 22-14 (0.611)
54 OVR
overall rating (0–100) · 36 games · how is this calculated?
Overall rating 54/100 Tier dominance: 70th (+0.5 SD) Projects as: Rival 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
8
22% of games
Shot %
26%

Per-game production (percentile within Rival)

StatPer gameTotalPercentile in tier
Points 330.25 11889
33rd
Goals 0.69 25
42nd
Assists 0.53 19
46th
Saves 1.31 47
44th
Shots 2.67 96
60th
Demos 1.14 41
67th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Rival
Points330.25 #580 / 1215 #90 / 164
Goals0.69 #567 / 1215 #77 / 164
Assists0.53 #488 / 1215 #72 / 164
Saves1.31 #467 / 1215 #75 / 164
Demos1.14 #305 / 1215 #45 / 164

Season projection

Medium confidence

56% of the season is played (36 → ~64 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 (116 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 11889 21136 21192 21192 21034 – 21350
Goals 25 44 45 45 37 – 52
Assists 19 34 34 34 27 – 40
Saves 47 84 84 85 74 – 94
Shots 96 171 170 170 156 – 184
Demos 41 73 72 76 63 – 82
MVPs 8 14 14 14 10 – 18

Advanced stats (ballchasing)

Advanced OVR 52 /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 363.2
Avg boost 53.6
Boost stolen / game 584.6
% time at 0 boost 7.0%
Avg speed (uu/s) 1508.1
% supersonic 13.2%
% time high in air 5.3%
Avg distance to ball 2798.7
% time attacking third 25.5%
Demos / game 1.0
Demos taken / game 1.2
Shooting % 30.0%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Challenger16 1.120.51.0 346
S23Rival36 0.640.531.64 390
S25Rival64 0.840.551.59 371
S26Rival32 0.720.51.28 358

Beyond RSC - lifetime & other play

External skill estimate: ~67 OVR Medium confidence — inferred from 42 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 54.
SourceGames RecordWin % Score/g
Lifetime (all)1320486-576 46% 371
Non-RSC ranked 3v34215-17 47% 332
Non-RSC other1278471-559 46% 372

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/game0.72 0.75 0.7 – 0.8
Assists/game0.5 0.53 0.47 – 0.57
Saves/game1.28 1.25 1.2 – 1.33
Shots/game2.53 2.7 2.54 – 2.86

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
HaZard S23Elite 0.670.571.25 0.91
buckle S25Elite 0.720.481.17 0.92
ImZalama S24Challenger 0.830.471.13 0.94
Fomay S25Veteran 0.710.61.26 1.00
AgentAnime07 S24Rival 0.70.441.56 1.08
Jetwind17 S24Rival 0.680.431.36 1.14
xMaster P S22Challenger 0.790.591.24 1.16
Dark Odst RW7 S20Challenger 0.780.611.33 1.18
Lad S26Veteran 0.970.551.34 1.19
Null.Gamer S26Veteran 0.760.521.48 1.19

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.