Patse_ — CS2 Stats

76561198122359073[U:1:162093345]✓ No bans

3,405Tracked matches48%Win rate2020Tracked since
CSDB Rating3.9 LearningSupport
Premier CS Rating19,557Purple band · top ~10.3% of ranked players (population est.)
CSDB Leaderboard#7508 of 15695 tracked
FaceitLevel 6 · 1,461 ELOTop 54.0% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

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CSDB.GGPatse_FACEITLevel 6 · 1,461 ELOSTANDINGTop 54.0% of rankedPREMIER19,557 · Purple bandcsdb.gg/stats

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Performance scores

Aim32
Positioning41
Utility70

0–100 skill scores via Leetify.

Recent form

STEADY47467Last 10047%Win rateWWWLLLLWLW

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

Player DNA

Primary style: SupportUtility contribution leads the profile while opening activity stays low.

Aim3.2
Aggression3.4
Utility7.0
Positioning4.1
Opening Duels0.0
Clutch3.0

Strong CT-side opener

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 76% 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

T-side openings. Opening success drops from 42% on CT to 17% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 652ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% 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

Aim3.2
Positioning4.1
Utility7.0
Mechanics3.1
Opening Duels1.5
Win Impact4.4

Composite 3.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time661ms+75ms
first ⅓ avg 587ms → last ⅓ avg 661ms
Headshot accuracy17.5%−1.4%
first ⅓ avg 19.0% → last ⅓ avg 17.5%

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

0.09Best rating — dust2 13–9
133Biggest win — overpass
4Longest win streak
W3Current streak
79In matches decided by ≤2 rounds
14Overtime games

Map breakdown

cacheBest map · 60% over 5anubisWeakest map · 17% over 12
MapGradePlayedRecordWin rateAvg rating
dust2A27161159%-0.00
ancientA1810856%-0.00
infernoC1661038%-0.03
anubisD1221017%-0.02
nukeB84450%-0.01
overpassC83538%-0.03
mirageB63350%-0.01
cacheA53260%-0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4,376Matches
50%Win rate
0.81Avg K/D
67.9ADR
40%Headshot %

Clutches & streaks

35%1v1 clutch win
19%1v2 clutch win
13Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Inferno18756%0.8712.7
Dust212943%0.7912.0
Nuke12754%0.8813.2
Anubis12353%0.8813.2
Mirage9046%0.7711.2
Overpass8354%0.9113.3
Ancient8149%0.7611.6
Train5044%0.7512.1

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.

18.2%Headshot accuracy
26.9%Accuracy (enemy spotted)
30.8%Spray accuracy
64.0%Counter-strafing
10.6°Preaim
652msReaction time
17.0%T opening success
41.9%CT opening success
0.63Enemies flashed / flash
13.1%Flash assists
8.54HE damage / grenade
12.16Flashes / 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 16.9602% — 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.

17% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–80.0323%25 Aug
dust216–120.0213%21 Aug
dust213–80.0317%21 Aug
nuke10–13-0.059%21 Aug
dust24–13-0.0829%20 Aug
nuke2–13-0.0717%20 Aug
anubis3–13-0.0318%20 Aug
mirage13–10-0.0413%11 Aug
mirage2–13-0.035%11 Aug
cache13–110.0111%8 Aug
ancient9–13-0.0527%8 Aug
dust213–100.0417%8 Aug
ancient13–50.0629%7 Aug
ancient9–13-0.0115%6 Aug
cache8–13-0.0515%3 Aug
dust213–10-0.0121%3 Aug
cache5–13-0.0415%1 Aug
ancient13–90.0110%1 Aug
dust21–13-0.0423%1 Aug
anubis7–13-0.0324%24 Jul
ancient15–15-0.0120%24 Jul
cache13–100.0329%24 Jul
mirage13–80.0611%18 Jul
nuke8–130.0220%18 Jul
mirage4–13-0.0210%17 Jul
mirage13–80.0220%17 Jul
mirage5–13-0.0630%17 Jul
dust214–16-0.0116%17 Jul
dust213–8-0.0218%17 Jul
nuke13–40.0828%15 Jul
dust213–100.0613%11 Jul
ancient15–15-0.0216%11 Jul
dust20–13-0.070%11 Jul
anubis3–13-0.0424%9 Jul
inferno15–15-0.0319%9 Jul
dust216–130.0014%9 Jul
dust213–7-0.0212%9 Jul
inferno1–13-0.1610%9 Jul
dust213–6-0.0826%9 Jul
ancient13–100.0227%9 Jul
inferno8–130.0423%2 Jul
dust211–13-0.0111%2 Jul
ancient13–6-0.0315%2 Jul
overpass5–13-0.0316%2 Jul
nuke13–10-0.049%2 Jul
anubis11–13-0.049%30 Jun
overpass16–14-0.0017%29 Jun
inferno7–13-0.0426%28 Jun
anubis10–130.0114%28 Jun
dust213–11-0.0417%27 Jun
dust210–13-0.0219%27 Jun
anubis13–110.0111%27 Jun
overpass11–13-0.0524%27 Jun
inferno13–9-0.0120%27 Jun
inferno21–25-0.027%26 Jun
ancient16–140.0219%26 Jun
inferno2–13-0.068%26 Jun
ancient13–6-0.0221%26 Jun
dust213–70.0622%26 Jun
inferno13–80.0116%26 Jun
overpass13–3-0.0014%26 Jun
overpass15–15-0.0424%17 Jun
anubis11–13-0.0132%17 Jun
inferno16–14-0.0220%13 Jun
ancient11–130.0217%13 Jun
dust26–13-0.0423%13 Jun
anubis4–13-0.0919%13 Jun
inferno8–13-0.0833%12 Jun
inferno13–4-0.0416%10 Jun
dust213–80.0118%9 Jun
inferno13–30.0221%9 Jun
dust215–150.0210%6 Jun
nuke1–13-0.0123%6 Jun
inferno10–13-0.0112%6 Jun
dust27–13-0.0310%6 Jun
inferno1–13-0.098%6 Jun
ancient15–150.0115%6 Jun
overpass9–13-0.0515%5 Jun
inferno13–10-0.0017%5 Jun
dust211–130.0324%5 Jun
ancient3–13-0.0616%5 Jun
dust213–60.0427%4 Jun
nuke13–9-0.0012%4 Jun
anubis13–8-0.0121%4 Jun
ancient13–70.0616%4 Jun
anubis15–15-0.0114%3 Jun
ancient13–80.0219%3 Jun
anubis9–130.0213%2 Jun
nuke13–11-0.0419%31 May
ancient13–30.0124%31 May
dust213–90.0917%30 May
inferno6–13-0.0316%29 May
ancient13–100.0116%27 May
dust213–7-0.0011%27 May
overpass13–6-0.0133%20 May
anubis6–13-0.0224%20 May
dust25–13-0.0619%20 May
overpass11–13-0.0425%13 May
ancient11–13-0.0319%13 May
dust213–90.0744%13 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 →