b1gsh☠︎w

b1gsh☠︎w — CS2 Stats

AU76561199080634157[U:1:1120368429]Steam profile ↗✓ No bans

2,189Tracked matches15%Win rate2022Tracked since
CSDB Rating2.2 Learning
Ladder ranks via Leetify

Performance scores

Aim21
Positioning29
Utility37

0–100 skill scores via Leetify.

Recent form

COLD18766Last 10018%Win rateTLLLLLLLLW

Last 10 vs previous 10: -10pp win rate · -0.01 avg rating

Player DNA

Aim2.1
Aggression0.0
Utility3.7
Positioning2.9
Opening Duels0.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 60% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower opening-fight frequency; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Reaction time. 676ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim2.1
Positioning2.9
Utility3.7
Mechanics3.2
Opening Duels0.0
Win Impact0.0

Composite 2.2/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.05+0.00
first ⅓ avg -0.05 → last ⅓ avg -0.05
Reaction time674ms−27ms
first ⅓ avg 701ms → last ⅓ avg 674ms
Headshot accuracy8.7%−0.8%
first ⅓ avg 9.5% → last ⅓ avg 8.7%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.05Best rating — ancient 13–3
132Biggest win — ancient
3Longest win streak
23In matches decided by ≤2 rounds
2Overtime games

Map breakdown

ancientBest map · 29% over 14anubisWeakest map · 0% over 7
MapGradePlayedRecordWin rateAvg rating
dust2D2442017%-0.05
cacheD1421214%-0.06
ancientD1441029%-0.02
infernoD111109%-0.07
mirageD92722%-0.04
nukeD92722%-0.06
anubisD7070%-0.09
trainD61517%-0.02
overpass42250%-0.04
vertigo2020%-0.07

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (0% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

9.0%Headshot accuracy
30.5%Accuracy (enemy spotted)
33.4%Spray accuracy
64.5%Counter-strafing
12.7°Preaim
676msReaction time
13.7%T opening success
25.2%CT opening success
0.52Enemies flashed / flash
2.2%Flash assists
8.98HE damage / grenade
5.64Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.7192° — above the 12° mark we flag

    Aim Training
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 8.9799% — below the 15% mark we flag

    Aim Training
Spend your practice time on Anubis

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

0% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
dust212–12-0.065%29 Aug
mirage6–13-0.054%29 Aug
cache5–13-0.046%29 Aug
cache1–13-0.0922%29 Aug
anubis10–13-0.099%29 Aug
inferno0–13-0.096%28 Aug
cache11–13-0.055%28 Aug
ancient4–13-0.0414%25 Aug
mirage9–13-0.0716%25 Aug
overpass13–7-0.053%23 Aug
dust216–12-0.0318%23 Aug
nuke11–13-0.107%23 Aug
mirage4–13-0.057%23 Aug
dust27–13-0.0518%23 Aug
dust212–16-0.0512%22 Aug
nuke13–4-0.079%22 Aug
vertigo12–12-0.069%22 Aug
nuke3–13-0.033%21 Aug
ancient1–13-0.022%21 Aug
overpass12–12-0.039%20 Aug
inferno4–13-0.106%19 Aug
anubis4–13-0.037%19 Aug
dust22–13-0.0214%19 Aug
train8–130.0515%18 Aug
cache13–10-0.025%18 Aug
dust23–13-0.073%18 Aug
mirage8–13-0.027%18 Aug
train8–13-0.0110%18 Aug
ancient8–13-0.066%17 Aug
inferno10–13-0.0710%17 Aug
dust210–13-0.075%17 Aug
cache8–13-0.159%17 Aug
ancient13–20.0110%16 Aug
train13–10-0.097%16 Aug
dust24–13-0.0111%16 Aug
anubis4–13-0.075%15 Aug
dust25–13-0.065%15 Aug
inferno10–13-0.068%15 Aug
dust23–13-0.0812%15 Aug
dust29–13-0.0511%15 Aug
dust29–13-0.1114%14 Aug
overpass13–10-0.028%14 Aug
dust28–13-0.0413%14 Aug
mirage13–110.0013%11 Aug
nuke12–12-0.0710%11 Aug
nuke9–130.0210%9 Aug
inferno6–13-0.0710%9 Aug
dust213–7-0.0416%9 Aug
cache7–13-0.025%8 Aug
inferno13–9-0.093%8 Aug
mirage4–13-0.053%8 Aug
train3–13-0.057%8 Aug
ancient12–12-0.0510%8 Aug
dust29–13-0.106%7 Aug
nuke6–13-0.0718%6 Aug
nuke9–13-0.1012%4 Aug
cache3–13-0.0010%4 Aug
train8–13-0.037%4 Aug
ancient13–30.059%3 Aug
cache2–13-0.0016%3 Aug
dust26–13-0.0313%1 Aug
ancient11–130.015%1 Aug
mirage6–13-0.039%1 Aug
overpass10–13-0.0717%31 Jul
ancient7–13-0.080%31 Jul
anubis2–13-0.100%28 Jul
cache5–13-0.135%28 Jul
dust27–13-0.0823%28 Jul
mirage13–7-0.064%28 Jul
dust28–13-0.038%26 Jul
mirage8–13-0.008%26 Jul
dust29–13-0.087%26 Jul
cache13–8-0.0314%26 Jul
nuke13–3-0.0111%25 Jul
dust213–11-0.0211%25 Jul
cache4–13-0.0514%24 Jul
dust24–13-0.080%24 Jul
inferno12–12-0.029%24 Jul
vertigo9–13-0.083%24 Jul
inferno9–13-0.0612%23 Jul
ancient9–13-0.037%23 Jul
nuke5–13-0.0817%15 Jul
ancient13–50.0217%15 Jul
inferno4–13-0.066%13 Jul
ancient4–13-0.098%13 Jul
dust213–3-0.097%13 Jul
ancient3–13-0.0713%12 Jul
inferno9–13-0.067%12 Jul
anubis7–13-0.124%12 Jul
cache1–13-0.0214%12 Jul
ancient13–100.0212%12 Jul
ancient9–13-0.0213%9 Jul
dust26–13-0.0115%9 Jul
inferno3–13-0.093%8 Jul
cache1–13-0.0916%8 Jul
anubis9–13-0.084%7 Jul
train4–13-0.006%7 Jul
cache5–13-0.088%7 Jul
dust27–13-0.0013%7 Jul
anubis6–13-0.123%6 Jul

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →