Flurry ^-^

Veteran - Fer-de-Lance - 13-23 (0.361)
63 OVR
overall rating (0–100) · 36 games · how is this calculated?
Overall rating 63/100 Tier dominance: 31st (-0.5 SD) Projects as: Veteran 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
11% of games
Shot %
30%

Per-game production (percentile within Veteran)

StatPer gameTotalPercentile in tier
Points 351.83 12666
49th
Goals 0.86 31
65th
Assists 0.56 20
43rd
Saves 1.39 50
51st
Shots 2.89 104
71st
Demos 0.31 11
3rd

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Veteran
Points351.83 #409 / 1215 #69 / 170
Goals0.86 #301 / 1215 #47 / 170
Assists0.56 #434 / 1215 #75 / 170
Saves1.39 #370 / 1215 #66 / 170
Demos0.31 #909 / 1215 #132 / 170

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 (203 games across 4 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 12666 22517 22529 22529 22366 – 22691
Goals 31 55 55 55 47 – 63
Assists 20 36 36 36 29 – 42
Saves 50 89 89 87 79 – 99
Shots 104 185 183 184 169 – 198
Demos 11 20 24 20 18 – 29
MVPs 4 7 7 7 4 – 10

Advanced stats (ballchasing)

Advanced OVR 42 /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 389.2
Avg boost 52.6
Boost stolen / game 446.4
% time at 0 boost 7.3%
Avg speed (uu/s) 1557.7
% supersonic 12.5%
% time high in air 3.6%
Avg distance to ball 3215.3
% time attacking third 19.0%
Demos / game 0.3
Demos taken / game 0.8
Shooting % 31.0%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Veteran4 1.00.252.5 362
S22Veteran47 0.850.471.13 362
S23Veteran63 1.110.641.35 376
S24Elite43 0.950.61.21 369
S25Elite50 0.680.480.94 371
S26Veteran32 0.840.561.38 389

Beyond RSC - lifetime & other play

External skill estimate: ~91 OVR Low confidence — inferred from 31 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 63.
SourceGames RecordWin % Score/g
Lifetime (all)1563656-653 50% 384
RSC (official)197-8 47% 353
Non-RSC ranked 3v33115-13 54% 372
Non-RSC other1513634-632 50% 385

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/game0.84 0.84 0.79 – 0.91
Assists/game0.56 0.56 0.51 – 0.6
Saves/game1.38 1.42 1.31 – 1.5
Shots/game2.72 2.68 2.49 – 2.83

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
AcP. S14Veteran 0.750.561.31 0.97
Flurry ^-^ S24Elite 0.950.61.21 1.04
AEB311 S26Elite 0.790.541.42 1.10
Nitro S22Veteran 0.790.511.49 1.11
SSpekky S21Elite 0.730.61.33 1.18
WP_Merciless S22Veteran 0.810.461.57 1.20
Absolutely TOR S23Veteran 0.840.521.42 1.20
SSpekky S24Master 0.90.51.29 1.23
Dirt D Dan S22Veteran 0.710.561.24 1.25
AlphaChuck S26Elite 0.930.641.25 1.25

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.