Pītā

Pītā — CS2 Stats

JP76561198290169581[U:1:329903853]Steam profile ↗✓ No bans

538Tracked matches43%Win rate2020Tracked since
2,097Hours in CS27Hrs last 2 wks
CSDB Rating3.0 Learning
Premier CS Rating19,792Purple band · top ~9.3% of ranked players (population est.)
CSDB Leaderboard#8914 of 19630 tracked
FaceitLevel 4 · 1,099 ELOTop 81.0% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

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CSDB.GGPītāFACEITLevel 4 · 1,099 ELOSTANDINGTop 81.0% of rankedPREMIER19,792 · Purple bandcsdb.gg/stats

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Performance scores

Aim33
Positioning30
Utility45

0–100 skill scores via Leetify.

Recent form

COLD44533Last 10044%Win rateLLLLWLWLWL

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

Aim3.3
Aggression2.4
Utility4.5
Positioning3.0
Opening Duels0.0
Clutch0.2

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

NiKo

Plays most like NiKo 69% playstyle similarity

Most alike: utility contribution, opening-duel success.

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. 583ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 63% 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

Aim3.3
Positioning3.0
Utility4.5
Mechanics2.8
Opening Duels0.8
Win Impact2.8

Composite 3.0/10 (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-0.05+0.00
first ⅓ avg -0.05 → last ⅓ avg -0.05
Reaction time592ms−49ms
first ⅓ avg 641ms → last ⅓ avg 592ms
Headshot accuracy16.0%−1.4%
first ⅓ avg 17.4% → last ⅓ avg 16.0%

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

0.07Best rating — dust2 13–3
132Biggest win — mirage
6Longest win streak
L4Current streak
86In matches decided by ≤2 rounds
11Overtime games

Map breakdown

mirageBest map · 57% over 21infernoWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
mirageA2112957%-0.04
dust2C1981142%-0.05
ancientB158753%-0.05
nukeB136746%-0.06
cacheC114736%-0.04
infernoD71614%-0.05
anubisD72529%-0.03
overpass42250%-0.07
office21150%-0.04
poseidon1010%-0.13

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

44,531Lifetime kills
0.83K/D
2,505Matches
43.2%Match win rate
40.4%Headshot %
14.6%Shot accuracy · Top 50% of tracked players
5,168MVPs
1,007Hours (in match)
2,262Bombs planted
523Bombs defused

Most-used weapons

Lifetime map wins

10,374dust2
2,628inferno
992nuke
690vertigo
269train
262office
172cbble
103lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

199Matches
51%Win rate
0.71Avg K/D
74.5ADR
43%Headshot %

Clutches & streaks

21%1v1 clutch win
23%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage2055%0.9914.4
Anubis650%0.9415.3
Dust2650%0.7612.3
Ancient5100%1.1815.2
Inferno333%0.7710.7
Cache367%1.0815.7
Overpass10%0.6712.0

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.

16.8%Headshot accuracy
26.0%Accuracy (enemy spotted)
26.9%Spray accuracy
62.8%Counter-strafing
10.2°Preaim
583msReaction time
21.6%T opening success
36.0%CT opening success
0.56Enemies flashed / flash
7.9%Flash assists
9.41HE damage / grenade
5.17Flashes / 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 21.6304% — below the 40% mark we flag

Spend your practice time on Inferno

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno10–13-0.0511%21 Aug
nuke6–13-0.0817%20 Aug
dust26–13-0.0919%20 Aug
mirage13–16-0.0310%19 Aug
mirage13–70.0125%16 Aug
dust20–12-0.060%15 Aug
mirage13–20.0014%14 Aug
ancient10–13-0.099%9 Aug
mirage13–5-0.0114%9 Aug
anubis11–13-0.0424%9 Aug
nuke5–13-0.129%9 Aug
dust210–13-0.0730%4 Aug
cache12–16-0.078%29 Jul
cache11–13-0.018%28 Jul
mirage8–13-0.0321%27 Jul
dust213–10-0.0616%27 Jul
cache13–10-0.1126%22 Jul
dust210–13-0.0428%22 Jul
ancient13–8-0.0117%22 Jul
cache0–13-0.050%22 Jul
mirage3–13-0.0725%21 Jul
nuke13–11-0.0516%21 Jul
dust20–8-0.0714%16 Jul
ancient16–14-0.0518%15 Jul
dust213–5-0.0423%15 Jul
nuke13–9-0.0615%15 Jul
nuke6–13-0.0418%14 Jul
mirage13–8-0.0432%14 Jul
cache13–30.0321%14 Jul
ancient13–2-0.068%13 Jul
cache0–13-0.030%13 Jul
cache15–15-0.0021%10 Jul
dust216–12-0.0614%9 Jul
mirage13–70.0219%9 Jul
dust213–6-0.088%8 Jul
cache13–7-0.027%8 Jul
office13–4-0.0217%7 Jul
dust213–30.078%7 Jul
inferno10–13-0.0518%7 Jul
cache9–13-0.0519%25 Jun
mirage13–3-0.077%25 Jun
inferno3–13-0.0313%23 Jun
ancient13–10-0.1021%23 Jun
ancient10–13-0.0318%21 Jun
cache13–4-0.0821%20 Jun
nuke3–13-0.1027%20 Jun
mirage6–13-0.078%20 Jun
mirage6–13-0.0911%20 Jun
nuke13–11-0.0810%20 Jun
dust25–13-0.0231%20 Jun
nuke8–8-0.035%20 Jun
ancient14–16-0.0211%11 Jun
dust212–12-0.0712%11 Jun
dust213–10-0.0317%10 Jun
mirage5–13-0.0810%9 Jun
ancient3–13-0.080%4 Jun
mirage7–13-0.0328%4 Jun
inferno10–13-0.0733%27 May
mirage13–11-0.0719%27 May
anubis7–13-0.0325%27 May
dust28–13-0.0616%26 May
office11–13-0.0615%12 May
cache7–13-0.0631%12 May
nuke9–50.0513%22 Apr
poseidon5–9-0.138%22 Apr
ancient13–100.0212%21 Apr
anubis13–70.0219%21 Apr
anubis11–13-0.0112%21 Apr
ancient3–13-0.1016%21 Apr
dust213–11-0.0550%20 Apr
anubis13–7-0.0320%20 Apr
ancient13–7-0.0218%20 Apr
ancient13–16-0.0213%19 Apr
mirage13–11-0.0331%18 Apr
dust23–13-0.0326%18 Apr
dust216–130.0119%18 Apr
mirage13–9-0.0612%18 Apr
nuke9–13-0.0717%18 Apr
ancient13–9-0.0317%18 Apr
overpass1–8-0.0918%14 Apr
dust214–16-0.0723%13 Apr
overpass0–4-0.070%11 Apr
mirage13–40.0123%11 Apr
ancient2–13-0.1017%11 Apr
mirage1–13-0.090%9 Apr
ancient16–14-0.0524%9 Apr
anubis2–13-0.0810%9 Apr
nuke9–13-0.0336%5 Apr
overpass13–10-0.0313%5 Apr
nuke13–9-0.0435%3 Apr
overpass13–10-0.098%3 Apr
nuke13–8-0.0816%3 Apr
anubis13–16-0.0311%29 Mar
inferno6–90.0416%29 Mar
inferno9–60.025%29 Mar
inferno1–9-0.2411%29 Mar
mirage4–13-0.0613%26 Mar
mirage13–11-0.028%26 Mar
dust24–13-0.0824%22 Mar
mirage13–100.0311%22 Mar

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →