Silu.

Elite - Forge Defenders - 30-6 (0.833)
👤 Career - also played as Luis.
82 OVR
overall rating (0–100) · 36 games · how is this calculated?
Overall rating 82/100 Tier dominance: 72nd (+0.5 SD) Projects as: Elite Role: 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
4
11% of games
Shot %
24%

Per-game production (percentile within Elite)

StatPer gameTotalPercentile in tier
Points 346.17 12462
37th
Goals 0.58 21
19th
Assists 0.81 29
88th
Saves 1.25 45
33rd
Shots 2.39 86
33rd
Demos 1.75 63
92nd

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Elite
Points346.17 #452 / 1215 #81 / 179
Goals0.58 #719 / 1215 #104 / 179
Assists0.81 #85 / 1215 #15 / 179
Saves1.25 #513 / 1215 #84 / 179
Demos1.75 #76 / 1215 #9 / 179

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 (74 games across 2 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 12462 22155 22197 22197 22036 – 22359
Goals 21 37 38 38 31 – 45
Assists 29 52 50 49 43 – 58
Saves 45 80 81 79 71 – 91
Shots 86 153 154 155 140 – 167
Demos 63 112 108 115 97 – 120
MVPs 4 7 7 7 4 – 10

Advanced stats (ballchasing)

Advanced OVR 93 /100

From 32 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 439.4
Avg boost 50.6
Boost stolen / game 745.1
% time at 0 boost 11.7%
Avg speed (uu/s) 1560.4
% supersonic 20.2%
% time high in air 6.7%
Avg distance to ball 2852.3
% time attacking third 23.9%
Demos / game 1.8
Demos taken / game 0.4
Shooting % 26.7%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S22Elite12 0.330.421.17 450
S25Elite62 0.730.521.16 443
S26Elite32 0.590.911.34 439

Beyond RSC - lifetime & other play

External skill estimate: ~84 OVR High confidence — inferred from 857 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 82.
SourceGames RecordWin % Score/g
Lifetime (all)61552576-2399 52% 380
RSC (official)20-1 0% 390
Non-RSC ranked 3v3857337-341 50% 360
Non-RSC other52962239-2057 52% 384

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/game0.59 0.69 0.58 – 0.77
Assists/game0.91 0.81 0.75 – 0.85
Saves/game1.34 1.25 1.19 – 1.45
Shots/game2.53 2.63 2.42 – 2.72

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
Rob Belichick S23Master 0.560.811.28 1.06
yillow S18Premier 0.50.881.25 1.42
cozyboy S22Rival 0.50.831.22 1.44
Ditto S18Veteran 0.50.851.45 1.47
Eclipse S23Premier 0.640.961.12 1.48
torro S26Elite 0.730.731.37 1.53
dray S18Veteran 0.750.751.12 1.57
Saucey S24Master 0.580.861.34 1.58
Scotti S19Master 0.580.751.5 1.59
Slvr. S25Master 0.620.751.33 1.59

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.