LedTasso

Challenger - Gold Hoarders - 3-9 (0.250)
32 OVR
overall rating (0–100) · 12 games · how is this calculated?
Overall rating 32/100 Tier dominance: 13th (-1.0 SD) Projects as: Challenger Role: Anchor
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 %
29%

Per-game production (percentile within Challenger)

StatPer gameTotalPercentile in tier
Points 300.42 3605
20th
Goals 0.67 8
35th
Assists 0.42 5
24th
Saves 1.33 16
56th
Shots 2.33 28
35th
Demos 0.58 7
24th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Challenger
Points300.42 #753 / 1215 #107 / 166
Goals0.67 #601 / 1215 #84 / 166
Assists0.42 #706 / 1215 #96 / 166
Saves1.33 #430 / 1215 #56 / 166
Demos0.58 #764 / 1215 #99 / 166

Season projection

Low confidence

60% of the season is played (12 → ~20 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 (158 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 3605 6008 6139 6139 6063 – 6215
Goals 8 13 14 14 10 – 17
Assists 5 8 9 9 6 – 12
Saves 16 27 27 25 22 – 31
Shots 28 47 47 47 41 – 54
Demos 7 12 13 14 9 – 17
MVPs 0 0 0 0 0 – 2

Advanced stats (ballchasing)

Advanced OVR 10 /100

From 12 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 326.1
Avg boost 46.7
Boost stolen / game 379.2
% time at 0 boost 11.3%
Avg speed (uu/s) 1420.1
% supersonic 7.2%
% time high in air 3.4%
Avg distance to ball 2992.0
% time attacking third 20.0%
Demos / game 0.6
Demos taken / game 1.1
Shooting % 30.0%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Challenger8 0.50.250.5 312
S21Challenger12 1.250.420.67 313
S22Challenger40 0.750.41.12 332
S23Challenger38 0.680.421.29 346
S24Challenger60 0.820.670.97 328
S25Challenger3 0.671.670.67 341
S26Challenger12 0.670.421.33 326

Beyond RSC - lifetime & other play

External skill estimate: ~35 OVR High confidence — inferred from 624 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 32.
SourceGames RecordWin % Score/g
Lifetime (all)73142960-2900 51% 367
RSC (official)3316-13 55% 379
Non-RSC ranked 3v3624223-257 46% 282
Non-RSC other66572721-2630 51% 375

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/game0.67 0.69 0.61 – 0.75
Assists/game0.42 0.46 0.43 – 0.49
Saves/game1.33 1.29 1.21 – 1.38
Shots/game2.33 2.31 2.19 – 2.41

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
GTU synbre S18Prospect 0.750.441.31 0.65
cJax S25Rival 0.60.461.38 0.71
GameyMcGamertag S14Prospect 0.60.51.3 0.76
Ofodo S13Challenger 0.620.381.15 0.79
MoonKnight2 S25Contender 0.550.491.34 0.81
tysonmaint S26Contender 0.650.391.44 0.82
TunedUpTuck S25Challenger 0.620.521.38 0.85
i like bananas S25Veteran 0.670.441.44 0.85
Wicked Wilt S14Rival 0.730.531.4 0.87
Fryder S22Challenger 0.850.481.37 0.87

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.