WeatherTurtle

WeatherTurtle — CS2 Stats

76561199061701255[U:1:1101435527]Steam profile ↗

231Tracked matches55%Win rate2025Tracked since
156Hours in CS
CSDB Rating4.1 Developing
Premier CS Rating11,852Blue band · top ~45.1% of ranked players (population est.)
CSDB Leaderboard#17114 of 24224 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=1,240), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerBlue band medianPurple band medianvs Purple band
Headshot rate54.4%41.7%44.1%above
Shot accuracy0.0%8.8%11.4%11.4% short
Kill/death ratio1.110.971.03above
Match win rate40.6%43.8%45.2%4.5% short

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGWeatherTurtlePREMIER11,852 · Blue bandcsdb.gg/stats

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Performance scores

Aim33
Positioning54
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY48475Last 10048%Win rateLLWLWWWWWL

Last 10 vs previous 10: -10pp win rate · -0.03 avg rating

Player DNA

Aim3.3
Aggression6.1
Utility3.9
Positioning5.4
Opening Duels3.3

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

iM

Plays most like iM 79% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution; 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

T-side openings. Opening success drops from 53% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 671ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% 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

Aim3.3
Positioning5.4
Utility3.9
Mechanics4.3
Opening Duels3.3
Win Impact6.7

Composite 4.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time671ms−36ms
first ⅓ avg 707ms → last ⅓ avg 671ms
Headshot accuracy15.4%−4.0%
first ⅓ avg 19.4% → last ⅓ avg 15.4%

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

0.14Best rating — nuke 13–5
131Biggest win — cache
5Longest win streak
L2Current streak
67In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 56% over 9infernoWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
nukeB25121348%-0.02
mirageB21111052%-0.03
dust2B179853%-0.02
anubisB115645%-0.03
ancientA95456%-0.04
infernoC83538%-0.05
office3030%-0.01
cache32167%-0.01
overpass21150%0.01
train1010%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

9,342Lifetime kills
1.11K/D · Top 25% of Blue band
529Matches
40.6%Match win rate
54.4%Headshot % · Top 10% of Blue band
0.0%Shot accuracy
772MVPs
156Hours (in match)
398Bombs planted
54Bombs defused

Most-used weapons

Lifetime map wins

791dust2
738nuke
404inferno
277office
274train
85italy
52vertigo
21ar_shoots

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

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

15.7%Headshot accuracy
29.3%Accuracy (enemy spotted)
30.1%Spray accuracy
69.5%Counter-strafing
11.1°Preaim
671msReaction time
33.0%T opening success
53.3%CT opening success
0.62Enemies flashed / flash
7.6%Flash assists
8.08HE damage / grenade
5.15Flashes / 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

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 32.9616% — below the 40% mark we flag

Spend your practice time on Inferno

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage10–13-0.0116%22 Jul
mirage5–13-0.0619%22 Jul
dust213–4-0.0720%21 Jul
nuke10–13-0.0112%18 Jul
mirage13–9-0.096%18 Jul
mirage13–8-0.0217%17 Jul
anubis13–30.0323%17 Jul
anubis13–30.0412%17 Jul
mirage13–10-0.0321%17 Jul
nuke10–13-0.0416%16 Jul
inferno13–9-0.0319%16 Jul
inferno3–13-0.0619%15 Jul
dust26–130.0022%15 Jul
nuke13–50.1414%15 Jul
mirage13–60.0213%11 Jul
nuke13–9-0.0011%11 Jul
dust213–11-0.0117%11 Jul
nuke13–100.035%11 Jul
dust27–13-0.0516%11 Jul
anubis13–30.0518%10 Jul
mirage5–13-0.0114%10 Jul
office10–13-0.0328%8 Jul
office5–130.0216%7 Jul
nuke9–13-0.0121%29 Jun
mirage13–100.0515%29 Jun
ancient13–11-0.016%29 Jun
nuke13–60.0318%26 Jun
dust210–13-0.0025%26 Jun
anubis12–12-0.0210%20 Jun
cache11–13-0.079%20 Jun
nuke13–16-0.064%20 Jun
nuke9–130.0216%20 Jun
ancient13–9-0.0211%20 Jun
dust29–130.0522%19 Jun
anubis11–13-0.0314%19 Jun
nuke13–90.0112%18 Jun
inferno7–13-0.009%17 Jun
nuke13–16-0.028%17 Jun
dust26–130.0313%16 Jun
anubis2–13-0.0711%14 Jun
nuke9–13-0.0312%13 Jun
anubis7–13-0.089%6 Jun
inferno13–11-0.0816%6 Jun
mirage13–6-0.0320%3 Jun
nuke11–130.039%2 Jun
nuke13–6-0.1024%25 May
nuke13–16-0.0115%24 May
dust213–60.0326%22 May
nuke6–13-0.0520%21 May
ancient10–13-0.0820%21 May
nuke13–6-0.096%20 May
dust213–9-0.0525%20 May
mirage13–2-0.0515%20 May
dust27–13-0.0820%19 May
mirage8–13-0.0216%18 May
dust25–13-0.096%16 May
mirage10–13-0.0811%15 May
dust213–40.0116%15 May
inferno16–13-0.0516%14 May
dust213–60.0235%14 May
ancient11–13-0.0723%10 May
nuke13–7-0.019%10 May
inferno15–15-0.0919%10 May
ancient13–60.0018%10 May
anubis13–10-0.069%9 May
ancient13–7-0.0610%9 May
mirage15–15-0.0510%9 May
inferno9–13-0.0713%9 May
dust23–13-0.0411%9 May
ancient8–130.0031%8 May
mirage13–3-0.0125%8 May
mirage13–11-0.0416%7 May
anubis13–6-0.059%7 May
dust213–11-0.0218%7 May
cache13–110.0126%6 May
office2–13-0.0213%6 May
cache13–10.0325%6 May
anubis11–13-0.0513%5 May
nuke13–9-0.0215%5 May
nuke13–10-0.0226%5 May
mirage7–13-0.0410%2 May
ancient13–8-0.0213%2 May
overpass11–13-0.0223%1 May
nuke13–3-0.0430%1 May
mirage7–2-0.0031%30 Apr
dust213–9-0.0415%26 Apr
overpass13–100.0329%26 Apr
mirage8–2-0.0420%26 Apr
nuke5–13-0.087%26 Apr
train4–13-0.0425%24 Apr
mirage12–12-0.0431%24 Apr
mirage8–13-0.0518%15 Apr
mirage5–13-0.0226%12 Apr
inferno10–13-0.0516%12 Apr
nuke14–16-0.0226%10 Apr
dust213–60.0016%10 Apr
nuke8–13-0.0115%5 Apr
nuke13–8-0.0116%31 Mar
ancient12–12-0.0718%31 Mar
anubis7–13-0.0415%21 Mar

Match data via Leetify.

Recent teammates

Milestones

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