Laguna

Rival - Hot Wings - 22-9 (0.710)
57 OVR
overall rating (0–100) · 31 games · how is this calculated?
Overall rating 57/100 Tier dominance: 86th (+1.0 SD) Projects as: Rival Role: 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
4
13% of games
Shot %
39%

Per-game production (percentile within Rival)

StatPer gameTotalPercentile in tier
Points 351.29 10890
57th
Goals 1.1 34
89th
Assists 0.48 15
38th
Saves 1.0 31
10th
Shots 2.81 87
72nd
Demos 2.16 67
96th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Rival
Points351.29 #413 / 1215 #58 / 164
Goals1.1 #94 / 1215 #15 / 164
Assists0.48 #586 / 1215 #84 / 164
Saves1.0 #738 / 1215 #115 / 164
Demos2.16 #30 / 1215 #6 / 164

Season projection

Medium confidence

56% of the season is played (31 → ~55 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 (158 games across 5 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 10890 19321 19271 19271 19122 – 19420
Goals 34 60 59 59 50 – 67
Assists 15 27 27 27 21 – 32
Saves 31 55 57 55 48 – 65
Shots 87 154 153 153 140 – 166
Demos 67 119 113 115 102 – 124
MVPs 4 7 7 7 4 – 10

Advanced stats (ballchasing)

Advanced OVR 88 /100

From 27 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 324.5
Avg boost 53.4
Boost stolen / game 585.1
% time at 0 boost 7.4%
Avg speed (uu/s) 1459.2
% supersonic 8.1%
% time high in air 3.4%
Avg distance to ball 3042.9
% time attacking third 23.0%
Demos / game 2.2
Demos taken / game 0.8
Shooting % 41.8%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Rival12 0.580.51.42 314
S21Rival16 0.560.690.88 331
S22Rival8 1.751.51.0 334
S24Rival64 0.890.521.17 322
S25Rival58 0.830.590.95 327
S26Rival27 1.110.521.0 325

Beyond RSC - lifetime & other play

External skill estimate: ~54 OVR High confidence — inferred from 1390 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)44841908-1674 53% 342
RSC (official)269-11 45% 330
Non-RSC ranked 3v31390531-555 49% 311
Non-RSC other30681368-1108 55% 355

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/game1.11 0.89 0.83 – 0.98
Assists/game0.52 0.5 0.45 – 0.59
Saves/game1.0 1.07 0.96 – 1.17
Shots/game2.67 2.53 2.42 – 2.69

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
Attonas S17Contender 1.220.440.89 1.11
Duke of Chutney S13Veteran 1.00.620.88 1.49
-RPV BoneSama S25Rival 0.920.540.81 1.64
Laguna S25Rival 0.830.590.95 1.66
Laguna S24Rival 0.890.521.17 1.69
Shoddy- S22Rival 0.890.441.17 1.81
Bladedraptor S18Elite 0.750.381.0 1.81
Goose S24Veteran 0.770.461.12 1.93
LostZealous S24Challenger 0.890.51.25 1.97
Preaux. S24Challenger 0.850.451.34 1.97

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.