ryanawesome_

Veteran - FA - 4-4 (0.500)
60 OVR
overall rating (0–100) · 8 games · how is this calculated?
Overall rating 60/100 Tier dominance: 15th (-1.0 SD) Projects as: Veteran 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
0
0% of games
Shot %
11%

Per-game production (percentile within Veteran)

StatPer gameTotalPercentile in tier
Points 290.75 2326
7th
Goals 0.25 2
3rd
Assists 0.75 6
83rd
Saves 1.38 11
46th
Shots 2.25 18
26th
Demos 1.12 9
59th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Veteran
Points290.75 #799 / 1215 #126 / 170
Goals0.25 #907 / 1215 #128 / 170
Assists0.75 #116 / 1215 #21 / 170
Saves1.38 #385 / 1215 #69 / 170
Demos1.12 #313 / 1215 #53 / 170

Season projection

Low confidence

56% of the season is played (8 → ~14 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 (119 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 2326 4070 4260 4260 4194 – 4326
Goals 2 4 5 5 2 – 8
Assists 6 10 10 10 7 – 13
Saves 11 19 19 20 15 – 24
Shots 18 32 33 32 27 – 38
Demos 9 16 16 16 12 – 19
MVPs 0 0 0 0 0 – 1

Advanced stats (ballchasing)

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

Boost / min 343.0
Avg boost 49.0
Boost stolen / game 573.2
% time at 0 boost 8.5%
Avg speed (uu/s) 1488.5
% supersonic 10.4%
% time high in air 2.9%
Avg distance to ball 3067.6
% time attacking third 22.8%
Demos / game 1.1
Demos taken / game 1.1
Shooting % 11.7%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Veteran16 0.50.811.44 323
S21Veteran16 0.940.441.44 348
S23Elite10 0.50.41.3 337
S24Veteran58 0.980.521.55 360
S25Veteran19 0.420.741.42 346
S26Veteran8 0.250.751.38 343

Beyond RSC - lifetime & other play

External skill estimate: ~49 OVR High confidence — inferred from 1177 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 60.
SourceGames RecordWin % Score/g
Lifetime (all)62032425-2511 49% 341
RSC (official)4915-26 37% 283
Non-RSC ranked 3v31177451-448 50% 304
Non-RSC other49771959-2037 49% 351

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/game0.75 0.72 0.64 – 0.75
Assists/game0.75 0.68 0.62 – 0.75
Saves/game1.62 1.57 1.42 – 1.7
Shots/game2.0 2.12 1.95 – 2.25

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
ItsJustSticky. S22Challenger 0.620.621.75 1.00
Whiite Bear S17Prospect 0.750.671.5 1.11
gamma S21Elite 0.880.751.75 1.16
Puma S24Rival 0.660.741.6 1.25
Darth. -.- S22Contender 0.740.561.56 1.34
StaRazor S24Challenger 0.720.811.72 1.37
Stone-Dog Millionaire S14Elite 0.750.751.88 1.38
Jarrod81535 S22Challenger 0.740.581.45 1.40
MeOnDisplay S26Prospect 0.850.581.42 1.42
Wheelchair {LFLegs} S26Challenger 0.80.61.6 1.42

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.