PATIOFFicjalnie — CS2 Stats

76561198983421043[U:1:1023155315]

1,202Tracked matches50%Win rate2021Tracked since
CSDB Rating3.6 LearningClutch Specialist
Premier CS Rating7,891Light Blue band · top ~65% of ranked players (population est.)
CSDB Leaderboard#10917 of 14574 tracked
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

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CSDB.GGPATIOFFicjalnieFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER7,891 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim45
Positioning33
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY41536Last 10041%Win rateLLLWWLWWLT

Last 10 vs previous 10: -20pp win rate · -0.07 avg rating

Player DNA

Primary style: Clutch SpecialistLate-round 1vX conversion well above par.

Aim4.5
Aggression3.1
Utility6.0
Positioning3.3
Opening Duels0.0
Clutch8.4

Reliable in 1v1s

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 77% playstyle similarity

Most alike: utility contribution, 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. 643ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim4.5
Positioning3.3
Utility6.0
Mechanics3.9
Opening Duels0.0
Win Impact5.0

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+0.03
first ⅓ avg -0.02 → last ⅓ avg 0.01
Reaction time631ms+38ms
first ⅓ avg 593ms → last ⅓ avg 631ms
Headshot accuracy14.8%−0.1%
first ⅓ avg 14.9% → last ⅓ avg 14.8%

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

0.21Best rating — inferno 9–2
130Biggest win — train
3Longest win streak
L3Current streak
119In matches decided by ≤2 rounds
5Overtime games

Map breakdown

mirageBest map · 50% over 16anubisWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoB29141548%-0.00
mirageB168850%-0.01
cacheD1551033%-0.01
dust2C145936%-0.01
ancientC146843%-0.01
anubisD51420%-0.02
overpass31233%-0.04
train21150%-0.01
nuke1010%-0.02
poseidon1010%-0.21

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

34Matches
41%Win rate
0.74Avg K/D
63.2ADR
36%Headshot %

Clutches & streaks

62%1v1 clutch win
11%1v2 clutch win
3Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1155%0.7810.8
Dust2862%0.7510.3
Inferno520%1.0412.8
Nuke30%0.396.3
Ancient333%0.719.7
Anubis10%0.9019.0
Overpass1100%0.4412.0

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.

13.8%Headshot accuracy
32.4%Accuracy (enemy spotted)
29.7%Spray accuracy
67.6%Counter-strafing
8.3°Preaim
643msReaction time
24.9%T opening success
28.3%CT opening success
0.48Enemies flashed / flash
2.6%Flash assists
6.41HE damage / grenade
19.67Flashes / 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. 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 13.7712% — below the 15% mark we flag

    Aim Training
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4796 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 24.8681% — 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
inferno6–90.0217%26 Aug
inferno3–9-0.1516%24 Aug
inferno7–90.0611%24 Aug
cache13–10-0.0210%20 Aug
dust213–11-0.0115%15 Aug
cache7–13-0.0115%15 Aug
cache13–100.0512%15 Aug
inferno9–7-0.0712%14 Aug
inferno1–9-0.2118%14 Aug
inferno8–80.0725%14 Aug
ancient10–13-0.029%7 Aug
dust213–110.059%7 Aug
mirage13–60.0310%7 Aug
inferno13–100.0416%6 Aug
mirage11–130.0515%4 Aug
cache3–13-0.0114%3 Aug
inferno9–20.2118%3 Aug
ancient13–160.044%2 Aug
dust213–100.0321%2 Aug
train13–00.0112%2 Aug
dust213–50.0647%31 Jul
mirage10–130.0010%31 Jul
dust214–16-0.0019%31 Jul
inferno9–10.1719%31 Jul
anubis5–130.0125%30 Jul
inferno13–10-0.0210%30 Jul
ancient13–80.037%30 Jul
ancient13–16-0.0414%29 Jul
inferno1–9-0.1613%28 Jul
inferno7–90.019%27 Jul
cache10–13-0.040%26 Jul
mirage5–130.0023%25 Jul
cache10–130.0117%25 Jul
anubis13–11-0.0010%25 Jul
inferno6–9-0.1226%25 Jul
mirage3–13-0.089%24 Jul
mirage13–9-0.0222%24 Jul
cache13–60.0111%24 Jul
anubis6–13-0.0113%24 Jul
mirage13–11-0.0316%24 Jul
inferno8–8-0.0230%24 Jul
anubis11–13-0.039%23 Jul
ancient13–11-0.017%23 Jul
cache11–13-0.0113%23 Jul
inferno3–9-0.054%23 Jul
mirage8–13-0.0513%22 Jul
nuke4–13-0.0217%22 Jul
ancient9–13-0.0327%20 Jul
mirage13–90.0412%20 Jul
inferno15–150.0418%19 Jul
dust27–130.016%18 Jul
inferno13–30.1816%18 Jul
mirage13–50.007%18 Jul
cache10–130.0315%16 Jul
ancient11–13-0.0714%15 Jul
inferno4–130.0423%15 Jul
cache13–100.0114%15 Jul
overpass8–13-0.0114%14 Jul
ancient12–120.0316%14 Jul
dust27–13-0.0622%13 Jul
inferno9–4-0.0144%13 Jul
inferno6–9-0.1016%13 Jul
cache8–13-0.078%12 Jul
inferno13–10-0.0125%10 Jul
overpass13–5-0.0810%10 Jul
dust27–13-0.098%9 Jul
ancient13–5-0.0329%8 Jul
mirage12–12-0.0422%8 Jul
train5–13-0.0223%6 Jul
cache13–10.016%6 Jul
poseidon2–9-0.217%6 Jul
anubis4–13-0.0518%4 Jul
dust29–130.0319%4 Jul
cache6–130.017%4 Jul
dust24–13-0.0313%3 Jul
inferno4–13-0.0221%2 Jul
mirage13–110.0317%2 Jul
dust213–50.0320%2 Jul
inferno9–40.1135%2 Jul
dust25–13-0.0723%1 Jul
dust28–130.0511%1 Jul
ancient10–13-0.1017%1 Jul
cache12–12-0.0510%1 Jul
cache11–13-0.0813%30 Jun
inferno9–30.179%17 Jun
inferno10–13-0.0516%16 Jun
ancient13–30.0513%16 Jun
dust22–13-0.0713%14 Jun
ancient13–110.0211%14 Jun
overpass14–16-0.0217%14 Jun
inferno9–70.078%14 Jun
ancient8–13-0.0613%13 Jun
inferno13–10-0.057%13 Jun
mirage10–13-0.0413%13 Jun
inferno9–7-0.1212%13 Jun
mirage13–11-0.0212%13 Jun
ancient13–40.0423%13 Jun
mirage8–130.0012%13 Jun
mirage13–8-0.0412%13 Jun
inferno9–6-0.1221%13 Jun

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 →