sWitch — CS2 Stats

76561198071775660[U:1:111509932]

1,869Tracked matches53%Win rate2020Tracked since
CSDB Rating5.7 SolidAggressive Rifler
Premier CS Rating12,506Blue band · top ~41.6% of ranked players (population est.)
CSDB Leaderboard#31142 of 46135 tracked
Ladder ranks via Leetify

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CSDB.GGsWitchPREMIER12,506 · Blue bandcsdb.gg/stats

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Performance scores

Aim75
Positioning48
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY46504Last 10046%Win rateLLLWWLWLLW

Last 10 vs previous 10: -20pp win rate · +0.02 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.5
Aggression8.9
Utility4.6
Positioning4.8
Opening Duels3.2

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

b1t

Plays most like b1t 87% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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

Reaction time. 651ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim7.5
Positioning4.8
Utility4.6
Mechanics7.9
Opening Duels3.2
Win Impact6.1

Composite 5.7/10 (Solid), 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-0.00+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time653ms−18ms
first ⅓ avg 671ms → last ⅓ avg 653ms
Headshot accuracy20.7%−2.0%
first ⅓ avg 22.7% → last ⅓ avg 20.7%

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

0.24Best rating — ancient 13–1
131Biggest win — ancient
9Longest win streak
L3Current streak
1015In matches decided by ≤2 rounds
6Overtime games

Map breakdown

anubisBest map · 75% over 8mirageWeakest map · 36% over 28
MapGradePlayedRecordWin rateAvg rating
mirageC28101836%-0.01
dust2B26131350%-0.01
infernoA1710759%-0.01
cacheC145936%-0.02
anubisS86275%-0.00
nuke31233%0.01
ancient21150%0.13
overpass2020%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (36% over 28). Start with the 6 essential Mirage 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.

21.6%Headshot accuracy
35.3%Accuracy (enemy spotted)
34.9%Spray accuracy
85.4%Counter-strafing
8.7°Preaim
651msReaction time
40.0%T opening success
45.4%CT opening success
0.52Enemies flashed / flash
4.5%Flash assists
9.15HE damage / grenade
5.79Flashes / 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 39.9789% — below the 40% mark we flag

Spend your practice time on Mirage

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

36% win rate across 28 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage10–130.0522%28 Aug
inferno11–13-0.0244%28 Aug
mirage11–13-0.0312%21 Aug
dust213–7-0.0618%21 Aug
dust213–110.1024%16 Aug
mirage11–13-0.0513%16 Aug
inferno13–80.0238%15 Aug
dust211–130.0028%14 Aug
mirage7–13-0.0318%14 Aug
cache13–110.0021%14 Aug
inferno7–13-0.1023%14 Aug
ancient7–130.0228%14 Aug
dust214–16-0.0224%8 Aug
mirage13–10-0.0712%7 Aug
cache13–30.0114%7 Aug
mirage13–70.0221%7 Aug
dust213–10-0.0034%7 Aug
dust211–13-0.0323%2 Aug
mirage13–10-0.0424%2 Aug
dust213–10-0.0031%2 Aug
nuke8–13-0.0719%2 Aug
anubis13–10-0.0118%24 Jul
cache13–8-0.0210%24 Jul
dust213–6-0.0524%24 Jul
mirage13–4-0.025%24 Jul
mirage7–13-0.0112%22 Jul
cache3–130.0124%22 Jul
nuke13–90.0522%18 Jul
ancient13–10.2415%18 Jul
mirage6–130.0119%17 Jul
cache14–16-0.0416%17 Jul
dust28–130.0413%17 Jul
cache15–15-0.0215%15 Jul
mirage16–140.0013%5 Jul
dust213–110.0119%4 Jul
inferno11–13-0.0426%4 Jul
anubis7–13-0.0523%3 Jul
mirage10–130.0213%3 Jul
cache8–13-0.0520%28 Jun
mirage9–13-0.0317%28 Jun
mirage13–160.0113%27 Jun
inferno13–30.0123%27 Jun
mirage10–13-0.0116%27 Jun
inferno11–13-0.0416%14 Jun
mirage13–60.0222%14 Jun
inferno13–30.0121%14 Jun
overpass9–130.0018%14 Jun
anubis11–13-0.0714%13 Jun
dust213–110.0324%13 Jun
dust213–6-0.0525%13 Jun
dust213–90.0119%12 Jun
dust213–11-0.0229%10 Jun
anubis13–8-0.0317%10 Jun
mirage13–50.0132%10 Jun
inferno13–8-0.0013%8 Jun
inferno13–11-0.0226%6 Jun
inferno13–4-0.028%6 Jun
mirage3–13-0.0118%6 Jun
cache12–12-0.0744%5 Jun
dust213–5-0.0216%5 Jun
inferno10–13-0.0021%5 Jun
dust22–13-0.0823%4 Jun
mirage13–7-0.029%4 Jun
dust210–13-0.0426%1 Jun
overpass10–13-0.0215%1 Jun
dust215–150.0219%30 May
mirage7–13-0.0518%30 May
anubis13–60.0217%30 May
inferno13–90.0623%30 May
dust211–4-0.0117%30 May
anubis13–110.0425%29 May
cache11–130.0231%27 May
cache13–11-0.0215%24 May
anubis13–40.0512%23 May
mirage6–130.0316%23 May
dust213–100.0125%22 May
mirage4–13-0.0423%22 May
dust211–13-0.078%22 May
nuke11–130.0333%17 May
anubis13–90.0317%16 May
mirage11–13-0.0526%16 May
cache11–13-0.0319%15 May
cache12–120.0229%15 May
mirage13–90.0222%15 May
inferno13–8-0.0320%13 May
inferno13–11-0.0115%13 May
dust23–13-0.099%13 May
dust26–13-0.0540%13 May
mirage7–130.0030%13 May
mirage10–130.0322%12 May
inferno10–13-0.0321%12 May
cache7–13-0.0613%10 May
cache13–6-0.0358%10 May
inferno2–13-0.069%10 May
mirage6–130.0218%10 May
dust26–130.0033%10 May
dust29–130.0141%10 May
dust21–13-0.0421%10 May
mirage13–20.0125%8 May
inferno13–60.0415%8 May

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 →