Sly

Challenger - Threshers - 15-17 (0.469)
41 OVR
overall rating (0–100) · 32 games · how is this calculated?
Overall rating 41/100 Tier dominance: 72nd (+0.4 SD) Projects as: Challenger 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
6
19% of games
Shot %
28%

Per-game production (percentile within Challenger)

StatPer gameTotalPercentile in tier
Points 377.81 12090
76th
Goals 0.88 28
68th
Assists 0.66 21
76th
Saves 1.25 40
46th
Shots 3.16 101
93rd
Demos 0.38 12
5th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Challenger
Points377.81 #229 / 1215 #32 / 166
Goals0.88 #275 / 1215 #41 / 166
Assists0.66 #257 / 1215 #32 / 166
Saves1.25 #513 / 1215 #68 / 166
Demos0.38 #887 / 1215 #125 / 166

Season projection

High confidence

60% of the season is played (32 → ~53 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 (103 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 12090 20024 19871 19871 19731 – 20010
Goals 28 46 46 46 39 – 53
Assists 21 35 34 34 28 – 40
Saves 40 66 66 66 58 – 75
Shots 101 167 165 162 152 – 177
Demos 12 20 22 22 17 – 27
MVPs 6 10 10 10 7 – 13

Advanced stats (ballchasing)

Advanced OVR 37 /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 350.0
Avg boost 50.9
Boost stolen / game 437.6
% time at 0 boost 8.5%
Avg speed (uu/s) 1490.3
% supersonic 10.5%
% time high in air 4.2%
Avg distance to ball 2957.6
% time attacking third 20.4%
Demos / game 0.4
Demos taken / game 1.1
Shooting % 29.1%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S22Veteran35 0.490.571.03 305
S23Rival56 0.910.461.29 346
S25Rival12 0.580.581.33 345
S26Challenger28 0.790.611.32 350

Beyond RSC - lifetime & other play

External skill estimate: ~53 OVR High confidence — inferred from 1108 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 41.
SourceGames RecordWin % Score/g
Lifetime (all)66632631-2680 50% 359
RSC (official)255-11 31% 265
Non-RSC ranked 3v31108408-415 50% 311
Non-RSC other55302218-2254 50% 369

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/game0.79 0.87 0.8 – 0.9
Assists/game0.61 0.58 0.55 – 0.61
Saves/game1.32 1.33 1.22 – 1.42
Shots/game2.93 2.78 2.67 – 2.96

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
Minty-Fwesh S20Rival 0.710.591.24 0.68
Crimed0ge S18Rival 0.860.641.29 0.69
ChristSavedRev S26Challenger 0.920.581.33 0.79
Vaz1fy. S23Rival 0.710.551.33 0.85
Absolutely TOR S26Veteran 0.780.591.19 0.87
JazzMagic. S24Rival 0.810.581.39 0.92
GeneralZippy S26Premier 0.740.641.06 0.92
Sim S22Master 0.90.551.5 0.95
.S S23Elite 0.750.721.53 0.95
Goofball.-. S26Prospect 0.880.51.28 0.99

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.