BlueFlre

Challenger - Corals - 17-17 (0.500)
38 OVR
overall rating (0–100) · 34 games · how is this calculated?
Overall rating 38/100 Tier dominance: 56th (+-0.0 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
5
15% of games
Shot %
25%

Per-game production (percentile within Challenger)

StatPer gameTotalPercentile in tier
Points 347.38 11811
56th
Goals 0.76 26
53rd
Assists 0.59 20
61st
Saves 1.29 44
52nd
Shots 3.06 104
89th
Demos 0.62 21
27th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Challenger
Points347.38 #446 / 1215 #59 / 166
Goals0.76 #444 / 1215 #62 / 166
Assists0.59 #380 / 1215 #52 / 166
Saves1.29 #475 / 1215 #62 / 166
Demos0.62 #742 / 1215 #97 / 166

Season projection

High confidence

60% of the season is played (34 → ~57 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 (10 games across 1 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 11811 19801 19774 19774 19632 – 19916
Goals 26 44 44 39 37 – 50
Assists 20 34 33 32 27 – 39
Saves 44 74 74 71 65 – 82
Shots 104 174 172 165 159 – 185
Demos 21 35 37 38 30 – 43
MVPs 5 8 8 8 5 – 11

Advanced stats (ballchasing)

Advanced OVR 19 /100

From 30 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 366.5
Avg boost 43.0
Boost stolen / game 445.2
% time at 0 boost 15.5%
Avg speed (uu/s) 1413.1
% supersonic 9.6%
% time high in air 3.3%
Avg distance to ball 3049.1
% time attacking third 20.2%
Demos / game 0.6
Demos taken / game 0.9
Shooting % 23.9%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S22Challenger10 0.00.30.9 347
S26Challenger30 0.730.61.37 366

Beyond RSC - lifetime & other play

External skill estimate: ~67 OVR High confidence — inferred from 613 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 38.
SourceGames RecordWin % Score/g
Lifetime (all)53812192-2158 50% 504
RSC (official)154-6 40% 357
Non-RSC ranked 3v3613220-235 48% 332
Non-RSC other47531968-1917 51% 527

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/game0.73 0.81 0.71 – 0.89
Assists/game0.6 0.6 0.58 – 0.67
Saves/game1.37 1.35 1.25 – 1.4
Shots/game3.03 2.77 2.65 – 3.06

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
Stonewall S18Elite 0.750.671.5 0.85
Thunderbolt S22Challenger 0.680.711.36 0.95
DonkeyPancakes2 S23Challenger 0.860.561.4 0.96
Golden4789 S26Veteran 0.830.581.42 1.03
bird S20Elite 0.940.561.5 1.06
itxmarina_ S26Contender 0.50.621.31 1.08
1_Krispy_1 S20Challenger 0.750.581.42 1.09
gcol S23Veteran 0.810.61.4 1.11
Wild Thing S23Challenger 0.60.621.35 1.16
GeneralZippy S24Master 0.980.551.33 1.18

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.