ESP.SAFASTAK — CS2 Stats

76561198772317557[U:1:812051829]

427Tracked matches31%Win rate2025Tracked since
CSDB Rating4.4 Developing
Premier CS Rating10,553Blue band · top ~52% of ranked players (population est.)
CSDB Leaderboard#34734 of 48938 tracked
WingmanGold Nova II
Ladder ranks via Leetify

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CSDB.GGESP.SAFASTAKPREMIER10,553 · Blue bandcsdb.gg/stats

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Performance scores

Aim53
Positioning53
Utility58

0–100 skill scores via Leetify.

Recent form

COLD53434Last 10053%Win rateLLWLWLLLLW

Last 10 vs previous 10: +0pp win rate · +0.04 avg rating

Player DNA

Aim5.3
Aggression8.2
Utility5.8
Positioning5.3
Opening Duels4.2
Clutch4.6

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

donk

Plays most like donk 86% playstyle similarity

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

Where you differ: lower positioning profile; 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. 666ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim5.3
Positioning5.3
Utility5.8
Mechanics4.3
Opening Duels4.2
Win Impact0.0

Composite 4.4/10 (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-0.02−0.04
first ⅓ avg 0.02 → last ⅓ avg -0.02
Reaction time669ms+20ms
first ⅓ avg 648ms → last ⅓ avg 669ms
Headshot accuracy17.7%+2.1%
first ⅓ avg 15.6% → last ⅓ avg 17.7%

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

0.18Best rating — inferno 13–2
132Biggest win — mirage
8Longest win streak
L2Current streak
137In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 64% over 11ancientWeakest map · 44% over 9
MapGradePlayedRecordWin rateAvg rating
dust2A45252056%-0.01
mirageB168850%0.01
anubisA117464%0.00
infernoA95456%-0.02
ancientC94544%0.00
nukeB84450%0.01
cache2020%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

75Matches
45%Win rate
0.94Avg K/D
79.9ADR
39%Headshot %

Clutches & streaks

43%1v1 clutch win
16%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Dust22536%0.9815.2
Ancient1354%0.8313.6
Nuke1145%0.9416.6
Mirage838%0.8114.1
Anubis743%1.0616.3
Inferno757%0.9713.7
Cache3100%1.1520.0
Vertigo10%0.3210.0

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.

18.0%Headshot accuracy
36.3%Accuracy (enemy spotted)
35.4%Spray accuracy
69.4%Counter-strafing
10.7°Preaim
666msReaction time
45.6%T opening success
48.2%CT opening success
0.56Enemies flashed / flash
5.8%Flash assists
11.41HE damage / grenade
16.04Flashes / match

Recommended for you

Spend your practice time on Ancient

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

44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust211–13-0.0219%29 Aug
dust24–13-0.0319%28 Aug
anubis13–9-0.058%28 Aug
inferno6–130.0219%27 Aug
dust213–90.0221%27 Aug
cache11–13-0.0215%26 Aug
dust211–130.0122%23 Aug
dust28–130.0028%21 Aug
mirage9–13-0.0620%20 Aug
ancient16–130.0916%20 Aug
mirage9–13-0.0017%17 Aug
dust213–10-0.0030%16 Aug
inferno2–9-0.217%16 Aug
cache10–13-0.067%16 Aug
dust25–130.0024%16 Aug
dust26–13-0.1123%16 Aug
ancient13–70.0317%15 Aug
mirage4–13-0.0226%15 Aug
mirage13–10-0.0014%15 Aug
dust27–13-0.0511%14 Aug
ancient9–13-0.0312%13 Aug
ancient13–30.036%11 Aug
dust213–7-0.0425%10 Aug
inferno13–5-0.017%10 Aug
mirage11–130.0211%10 Aug
anubis6–130.028%6 Aug
anubis11–13-0.0820%1 Aug
dust24–13-0.1114%1 Aug
mirage9–13-0.0025%1 Aug
dust24–13-0.0333%1 Aug
nuke12–120.1423%1 Aug
ancient0–6-0.0325%1 Aug
inferno9–7-0.0712%31 Jul
nuke10–130.0025%31 Jul
inferno8–13-0.0921%30 Jul
dust213–70.0220%23 Jul
ancient11–13-0.0314%23 Jul
nuke2–13-0.0822%23 Jul
dust213–8-0.0127%23 Jul
dust216–14-0.0116%21 Jul
inferno5–130.0736%21 Jul
mirage10–13-0.0214%21 Jul
dust26–13-0.0310%21 Jul
mirage13–2-0.0418%21 Jul
dust212–12-0.1315%19 Jul
anubis16–120.096%19 Jul
mirage13–160.0721%19 Jul
mirage13–9-0.0314%16 Jul
dust213–11-0.0213%14 Jul
dust213–7-0.0220%14 Jul
nuke13–8-0.0117%11 Jul
dust213–70.0622%11 Jul
anubis13–70.0712%9 Jul
inferno13–8-0.0613%8 Jul
dust213–2-0.0712%7 Jul
dust28–13-0.0516%7 Jul
ancient15–15-0.0713%6 Jul
dust213–60.0120%6 Jul
ancient15–150.0518%6 Jul
dust213–90.0028%6 Jul
mirage13–80.119%6 Jul
dust24–13-0.0610%2 Jul
dust210–13-0.068%2 Jul
anubis13–9-0.0610%30 Jun
dust25–130.0216%26 Jun
dust213–11-0.033%26 Jun
dust213–110.0813%23 Jun
anubis7–13-0.0411%22 Jun
mirage13–11-0.0112%22 Jun
dust213–11-0.1313%22 Jun
anubis13–7-0.0117%21 Jun
mirage7–13-0.0616%18 Jun
mirage13–100.1020%18 Jun
dust216–14-0.0516%17 Jun
inferno13–11-0.006%16 Jun
dust24–13-0.036%15 Jun
dust216–14-0.0020%15 Jun
dust213–30.082%14 Jun
dust213–80.0740%14 Jun
nuke13–90.0511%10 Jun
anubis8–130.0115%9 Jun
dust213–110.0024%9 Jun
dust26–130.0730%9 Jun
nuke7–13-0.0516%6 Jun
dust26–130.0426%3 Jun
dust213–7-0.0316%3 Jun
dust213–60.1317%1 Jun
mirage13–80.0514%1 Jun
ancient13–80.0012%31 May
anubis13–10-0.0313%31 May
dust25–13-0.049%31 May
nuke13–50.0617%29 May
inferno13–20.1813%29 May
dust213–40.0326%29 May
dust211–13-0.0413%28 May
dust213–110.0417%28 May
dust213–5-0.0320%28 May
nuke13–6-0.0213%26 May
anubis13–50.115%26 May
mirage13–110.0811%25 May

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 →