pAL — CS2 Stats

76561198113217254[U:1:152951526]

1,658Tracked matches29%Win rate2020Tracked since
2,069Hours in CS3Hrs last 2 wks
CSDB Rating3.6 Learning
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGpALFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim42
Positioning43
Utility49

0–100 skill scores via Leetify.

Recent form

COLD37558Last 10037%Win rateWLLLLLLLWW

Last 10 vs previous 10: +0pp win rate · +0.02 avg rating

Player DNA

Aim4.2
Aggression3.9
Utility4.9
Positioning4.3
Opening Duels1.0
Clutch2.0

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 80% playstyle similarity

Most alike: opening-fight frequency, 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

T-side openings. Opening success drops from 44% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 605ms 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

Aim4.2
Positioning4.3
Utility4.9
Mechanics4.0
Opening Duels1.8
Win Impact0.0

Composite 3.6/10 (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-0.03−0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time609ms−32ms
first ⅓ avg 641ms → last ⅓ avg 609ms
Headshot accuracy17.0%−2.4%
first ⅓ avg 19.4% → last ⅓ avg 17.0%

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

0.18Best rating — inferno 9–0
133Biggest win — ancient
4Longest win streak
115In matches decided by ≤2 rounds
8Overtime games

Map breakdown

ancientBest map · 43% over 7dust2Weakest map · 33% over 36
MapGradePlayedRecordWin rateAvg rating
dust2D36122433%-0.03
infernoC2591636%-0.04
nukeC1871139%-0.02
ancientC73443%-0.02
vertigoC52340%-0.00
poseidon220100%0.00
overpass220100%0.11
train2020%-0.03
anubis1010%-0.06
office1010%-0.03
rooftop1010%-0.23

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 36). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

45,199Lifetime kills
0.86K/D
2,849Matches
40.8%Match win rate
48.4%Headshot % · Top 50% of tracked players
8.1%Shot accuracy
5,125MVPs
1,409Hours (in match)
2,228Bombs planted
596Bombs defused

Most-used weapons

AK-4713,295
AWP3,114
FAMAS1,870
SSG 081,512
MP91,183

Lifetime map wins

5,773dust2
4,709inferno
2,656vertigo
2,130nuke
793train
265cbble
236lake
125office

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

Faceit stats

Combat

204Matches
51%Win rate
0.85Avg K/D
66.8ADR
41%Headshot %

Clutches & streaks

30%1v1 clutch win
14%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Inferno4654%0.9412.9
Vertigo3549%0.9213.1
Dust22969%0.8912.2
Ancient2843%0.7511.0
Overpass1861%0.7510.6
Anubis1136%0.8610.9
Nuke757%1.0413.4
Mirage250%0.7413.0

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.

15.3%Headshot accuracy
29.1%Accuracy (enemy spotted)
33.9%Spray accuracy
68.2%Counter-strafing
10.6°Preaim
605msReaction time
24.1%T opening success
44.2%CT opening success
0.48Enemies flashed / flash
7.6%Flash assists
7.56HE damage / grenade
6.04Flashes / 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. 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 0.4802 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 24.0574% — below the 40% mark we flag

Spend your practice time on Dust 2

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

33% win rate across 36 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke13–10-0.0424%17 Aug
dust212–16-0.0710%17 Aug
dust26–13-0.039%17 Aug
inferno2–9-0.1118%12 Aug
inferno13–16-0.0216%10 Aug
dust22–13-0.0725%10 Aug
dust214–16-0.068%10 Aug
nuke7–13-0.0219%3 Aug
ancient13–80.0211%3 Aug
nuke13–7-0.0213%3 Aug
inferno10–13-0.099%3 Aug
anubis6–13-0.0622%3 Aug
inferno8–13-0.0810%3 Aug
inferno13–11-0.0113%27 Jul
dust210–13-0.0622%27 Jul
inferno10–13-0.0917%27 Jul
ancient16–14-0.079%24 Jul
dust213–4-0.0418%24 Jul
dust25–13-0.0811%24 Jul
inferno15–15-0.0019%24 Jul
inferno9–13-0.069%22 Jul
nuke13–70.0112%21 Jul
inferno11–13-0.0721%21 Jul
dust29–13-0.037%21 Jul
inferno8–13-0.0314%20 Jul
dust215–15-0.0018%20 Jul
dust210–130.0117%20 Jul
ancient7–13-0.0421%20 Jul
dust23–13-0.0330%30 Jun
poseidon9–60.0133%30 Jun
inferno9–00.1838%30 Jun
ancient13–30.0121%29 Jun
nuke5–13-0.0117%29 Jun
dust26–13-0.0325%28 Jun
inferno13–6-0.0215%28 Jun
dust210–13-0.0713%28 Jun
dust27–13-0.0521%17 Jun
ancient7–13-0.0419%17 Jun
nuke13–4-0.048%17 Jun
dust26–13-0.0313%17 Jun
dust213–5-0.035%17 Jun
nuke13–10-0.0412%16 Jun
dust216–12-0.0230%15 Jun
ancient7–13-0.0810%15 Jun
inferno13–11-0.0015%15 Jun
dust213–11-0.0121%15 Jun
vertigo7–90.0313%15 Jun
inferno8–80.0326%15 Jun
inferno9–50.0321%14 Jun
dust213–11-0.0126%13 Jun
inferno13–50.0116%13 Jun
overpass13–80.0913%13 Jun
dust29–130.0422%8 Jun
poseidon9–7-0.0019%7 Jun
inferno3–9-0.0825%7 Jun
nuke8–8-0.0612%7 Jun
dust213–11-0.0517%7 May
dust211–130.0124%6 May
nuke8–8-0.0316%6 May
vertigo2–9-0.1430%5 May
overpass9–10.1318%5 May
inferno8–8-0.0811%5 May
nuke4–9-0.0915%5 May
dust210–13-0.0415%4 May
dust213–5-0.0313%1 May
dust25–13-0.0313%30 Apr
inferno13–10-0.0312%29 Apr
inferno13–10-0.0121%29 Apr
dust213–70.0414%29 Apr
ancient9–130.0311%29 Dec
inferno1–13-0.1420%29 Dec
nuke13–40.057%28 Dec
dust28–130.0211%28 Dec
vertigo8–8-0.0721%27 Dec
nuke10–13-0.0312%26 Dec
dust213–11-0.0213%25 Dec
train5–13-0.0818%23 Dec
dust213–11-0.0419%23 Dec
dust213–9-0.0017%22 Dec
dust25–13-0.0714%22 Dec
inferno6–9-0.0812%14 Dec
dust210–13-0.0813%11 Dec
nuke10–13-0.0424%10 Dec
nuke3–12-0.1083%8 Dec
nuke8–130.0816%8 Dec
nuke14–160.0417%8 Dec
office7–13-0.0318%5 Dec
train1–130.0113%5 Dec
inferno9–50.0222%12 Nov
dust29–13-0.0417%11 Nov
vertigo9–70.0417%11 Nov
dust213–30.015%10 Nov
rooftop1–9-0.2320%10 Nov
inferno0–9-0.1619%10 Nov
inferno5–9-0.0927%10 Nov
nuke13–11-0.0215%7 Nov
dust25–13-0.0230%7 Nov
dust25–13-0.0233%7 Nov
vertigo9–60.1531%7 Nov
nuke8–8-0.0710%7 Nov

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 →