︻芫--- Master Shifu ︻芫--- — CS2 Stats

76561198345344641[U:1:385078913]

266Tracked matches45%Win rate2025Tracked since
CSDB Rating3.6 Learning
Premier CS Rating6,320Light Blue band · top ~72.5% of ranked players (population est.)
CSDB Leaderboard#39815 of 52636 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GG︻芫--- Master Shifu ︻芫---FACEITLevel 4STANDINGTop 81.0% of rankedPREMIER6,320 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim39
Positioning53
Utility51

0–100 skill scores via Leetify.

Recent form

COLD41572Last 10041%Win rateLTWLLLWLLW

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

Player DNA

Aim3.9
Aggression7.6
Utility5.1
Positioning5.3
Opening Duels3.8
Clutch2.8

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

ropz

Plays most like ropz 84% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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

Strengths

Flashes. 0.81 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 58% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 686ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 60% 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

Aim3.9
Positioning5.3
Utility5.1
Mechanics2.3
Opening Duels3.8
Win Impact3.3

Composite 3.6/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time693ms+2ms
first ⅓ avg 691ms → last ⅓ avg 693ms
Headshot accuracy16.3%−1.8%
first ⅓ avg 18.1% → last ⅓ avg 16.3%

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

0.12Best rating — ancient 13–2
131Biggest win — mirage
4Longest win streak
313In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 53% over 15anubisWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageD29101934%-0.00
dust2B27131448%-0.01
nukeB158753%0.01
ancientD92722%0.02
infernoC94544%-0.00
anubisD51420%0.00
cache42250%-0.01
office1010%-0.07
overpass110100%-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

111Matches
44%Win rate
1.09Avg K/D
87.6ADR
39%Headshot %

Clutches & streaks

34%1v1 clutch win
29%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage4538%1.0317.0
Dust22227%1.0217.2
Ancient1662%1.1016.3
Anubis1267%1.2317.2
Nuke850%1.3719.4
Inferno540%1.0016.0
Cache250%0.9415.0
Vertigo1100%1.3117.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

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

16.5%Headshot accuracy
34.1%Accuracy (enemy spotted)
32.2%Spray accuracy
60.4%Counter-strafing
9.7°Preaim
686msReaction time
32.2%T opening success
58.0%CT opening success
0.81Enemies flashed / flash
7.8%Flash assists
10.84HE damage / grenade
4.61Flashes / 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 32.1571% — below the 40% mark we flag

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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
dust28–13-0.0030%30 Aug
cache12–120.0114%28 Aug
dust213–80.0726%28 Aug
ancient8–13-0.029%25 Aug
ancient2–130.0111%23 Aug
dust27–130.0222%23 Aug
dust213–9-0.0138%20 Aug
mirage11–130.0415%13 Aug
mirage5–13-0.0313%12 Aug
anubis13–70.0327%11 Aug
mirage7–13-0.0211%6 Aug
mirage4–130.0023%4 Aug
nuke10–130.0116%4 Aug
ancient13–20.1217%3 Aug
dust213–100.0713%1 Aug
ancient8–13-0.0614%31 Jul
mirage13–10.047%27 Jul
dust210–13-0.0314%27 Jul
mirage13–90.0415%27 Jul
ancient14–160.0816%26 Jul
inferno13–40.068%26 Jul
cache13–8-0.067%26 Jul
nuke9–13-0.035%26 Jul
dust23–130.026%26 Jul
ancient10–13-0.0316%25 Jul
anubis13–160.006%23 Jul
inferno13–6-0.0213%23 Jul
mirage13–80.0620%23 Jul
dust213–90.0539%22 Jul
nuke13–8-0.0221%22 Jul
ancient5–13-0.0121%22 Jul
mirage13–16-0.0319%22 Jul
dust213–4-0.036%21 Jul
mirage13–80.0215%21 Jul
anubis10–130.0111%20 Jul
inferno6–130.0011%20 Jul
dust213–20.0820%19 Jul
dust26–13-0.0518%18 Jul
nuke8–13-0.0517%18 Jul
dust24–13-0.0510%18 Jul
ancient11–130.0019%18 Jul
dust211–13-0.0327%16 Jul
mirage11–13-0.0118%15 Jul
cache13–50.039%15 Jul
dust213–8-0.0210%14 Jul
nuke11–13-0.0514%14 Jul
inferno0–8-0.0119%14 Jul
dust213–6-0.074%13 Jul
mirage9–13-0.0015%13 Jul
mirage4–13-0.0110%13 Jul
anubis4–13-0.057%13 Jul
mirage9–130.0629%10 Jul
nuke13–8-0.0020%9 Jul
cache8–13-0.0224%9 Jul
mirage6–13-0.058%9 Jul
mirage13–4-0.0113%8 Jul
office2–4-0.070%8 Jul
mirage3–13-0.073%7 Jul
mirage8–130.0422%7 Jul
mirage4–13-0.059%7 Jul
dust23–130.0041%6 Jul
nuke13–40.0311%6 Jul
dust213–10-0.0122%2 Jun
mirage13–100.0612%28 May
mirage7–13-0.0527%21 May
inferno13–6-0.0120%21 May
nuke13–110.0914%10 May
nuke13–70.0721%8 May
dust213–80.0719%3 May
dust25–13-0.1415%1 May
dust27–13-0.054%1 May
mirage3–13-0.0815%30 Apr
dust213–110.0115%29 Apr
mirage11–13-0.073%29 Apr
nuke6–130.0437%29 Apr
inferno6–13-0.059%27 Apr
dust28–13-0.0516%26 Apr
dust28–13-0.086%26 Apr
dust24–13-0.0820%24 Apr
nuke13–20.0122%24 Apr
inferno6–130.0032%24 Apr
overpass13–3-0.0121%24 Apr
mirage13–90.0114%23 Apr
inferno6–13-0.0319%23 Apr
mirage15–15-0.0117%23 Apr
mirage5–130.0038%21 Apr
mirage13–60.0021%21 Apr
inferno13–80.0419%21 Apr
dust213–70.0412%21 Apr
nuke11–130.0525%20 Apr
dust211–13-0.0812%18 Apr
mirage11–13-0.0115%18 Apr
nuke13–70.0425%17 Apr
nuke16–13-0.0427%16 Apr
mirage16–14-0.0018%16 Apr
anubis14–160.0316%14 Apr
dust216–130.0519%10 Apr
mirage13–100.0513%10 Apr
ancient13–70.1011%8 Apr
nuke11–13-0.0021%8 Apr

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 →