Pali

Pali — CS2 Stats

76561198036357796[U:1:76092068]Steam profile ↗✓ No bans

1,694Tracked matches50%Win rate2020Tracked since
2,374Hours in CS
CSDB Rating6.4 SolidPositional Player
CSDB Leaderboard#18474 of 251328 tracked
FaceitLevel 10 · 2,141 ELOTop 12.4% of ranked FACEIT players
WingmanThe Global Elite
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 25,197 +676 25 Feb – 11 Mar · 6 days played
24,35825,239peak 25,23925 Feb11 Mar
25,776Peak Premier in tracked matches
2,141Highest Faceit ELO seen on CSDB
42Days played since 2026-02-25

Faceit ELO

  • At peak — 2,141
  • Next: 2,500 ELO at 2,500 — 359 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches107——
Win rate50%——
K/D0.98——
Headshot %48%——

Measured 8 Sep 2026 → 12 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=29,304), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 10 median
Headshot rate43.6%50.9%
Shot accuracy14.3%13.7%
Kill/death ratio1.271.09
Match win rate46.2%48.4%

Share this profile

CSDB.GGPaliFACEITLevel 10 · 2,141 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,141csdb.gg/stats

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Performance scores

Aim81
Positioning67
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY55–44–1Last 10055%Win rateLLLWWWWLWW

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · −1.1pp headshot accuracy · −23ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 20%
  • Avg reaction 445ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 471ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 482ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.9 against its own average).

Aim8.1
Utility6.1
Positioning6.7
Opening Duels2.5
Clutch3.8

Effective flashesLimited utility dependence

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

ZywOo

Plays most like ZywOo 89% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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

Strengths

Flashes. 0.88 enemies blinded per flash — utility that consistently lands.

Areas to improve

CT openings. Opening success drops from 54% on T to 37% on CT — first contacts on the defending side are being lost.

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

Aim8.1
Positioning6.7
Utility6.1
Mechanics5.7
Opening Duels3.8
Win Impact5.0

Composite 6.4/10 (Solid), 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-0.02−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time478ms−82ms
first ⅓ avg 561ms → last ⅓ avg 478ms
Headshot accuracy18.4%+3.1%
first ⅓ avg 15.3% → last ⅓ avg 18.4%

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.

Personal bests

0.13Best match rating · 13–3 · inferno, 10 Jul →
37%Best headshot accuracy · 13–8 · ancient, 6 Oct →
344msFastest reaction time · 13–8 · ancient, 6 Oct →
13–2Biggest win · anubis, 15 Jun →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
13–8In matches decided by ≤2 rounds
14Overtime games

Map breakdown

anubisBest map · 86% over 14dust2Weakest map · 27% over 15
MapGradePlayedRecordWin rateAvg rating
ancientB2211–1150%0.01
mirageS1612–475%0.01
dust2D154–1127%-0.02
cacheA159–660%-0.01
anubisS1412–286%0.01
infernoD93–633%0.01
nukeB63–350%-0.02
overpass—21–150%-0.02
vertigo—10–10%0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

131,617Lifetime kills
1.27K/D · Top 25% of Level 10 players
5,451Matches
46.2%Match win rate
43.6%Headshot %
14.3%Shot accuracy · Top 50% of Level 10 players
14,430MVPs
2,374Hours (in match)
5,607Bombs planted
1,216Bombs defused

Most-used weapons

AK-4733,118
AWP17,912
Tec-93,619
P2503,473
FAMAS2,199

Lifetime map wins

12,316dust2
5,997inferno
1,994vertigo
1,908nuke
1,422train
613cbble
148safehouse
142lake

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

Faceit stats

Combat

1,247Matches
52%Win rate
1.12Avg K/D
79.8ADR
43%Headshot %

Clutches & streaks

39%1v1 clutch win
18%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Ancient11946%1.2416.3
Mirage11948%1.1115.7
Anubis10853%1.1316.8
Dust210254%1.2516.9
Inferno6453%1.1215.2
Nuke3358%1.1116.9
Cache2759%1.1516.7
Overpass862%1.0618.0

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.

17.9%Headshot accuracy
36.0%Accuracy (enemy spotted)
41.0%Spray accuracy
75.8%Counter-strafing
9.4°Preaim
480msReaction time
53.5%T opening success
36.9%CT opening success
0.88Enemies flashed / flash
3.2%Flash assists
14.67HE damage / grenade
4.36Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 36.933% — 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.

27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust24–13-0.0919%9 Oct →
nuke13–16-0.0119%9 Oct →
cache6–13-0.144%8 Oct →
ancient13–8-0.0137%6 Oct →
cache16–140.0122%29 Sept →
cache13–60.028%29 Sept →
nuke13–11-0.0319%29 Sept →
anubis13–16-0.056%28 Sept →
cache13–90.0020%28 Sept →
ancient13–7-0.0210%28 Sept →
inferno6–13-0.0426%28 Sept →
mirage5–13-0.0418%28 Sept →
mirage11–13-0.0523%28 Sept →
anubis13–8-0.0120%28 Sept →
ancient5–13-0.0411%27 Sept →
mirage13–10-0.046%27 Sept →
dust210–13-0.0015%27 Sept →
nuke14–16-0.0414%27 Sept →
anubis13–70.0129%27 Sept →
ancient13–70.0212%27 Sept →
cache13–6-0.0118%27 Sept →
dust213–16-0.0720%27 Sept →
anubis11–130.0018%27 Sept →
mirage13–70.0117%26 Sept →
cache16–140.0124%26 Sept →
inferno10–13-0.0422%26 Sept →
ancient1–130.0336%26 Sept →
cache13–60.0719%26 Sept →
mirage13–9-0.0115%25 Sept →
cache10–13-0.0015%25 Sept →
dust29–130.0320%25 Sept →
cache16–19-0.0318%24 Sept →
nuke13–6-0.0529%24 Sept →
anubis13–50.0428%24 Sept →
ancient13–70.0615%24 Sept →
vertigo8–130.0119%23 Sept →
ancient10–13-0.0115%23 Sept →
anubis13–80.0116%23 Sept →
dust213–60.0321%23 Sept →
mirage13–110.0824%23 Sept →
inferno13–110.0517%23 Sept →
ancient6–130.0325%23 Sept →
dust29–13-0.0123%23 Sept →
nuke13–80.0530%22 Sept →
cache6–13-0.0321%22 Sept →
anubis16–13-0.0118%22 Sept →
nuke9–13-0.0614%22 Sept →
cache13–8-0.0611%22 Sept →
anubis13–70.0522%20 Sept →
ancient13–110.0526%20 Sept →
mirage13–80.0120%19 Sept →
cache16–140.0815%18 Sept →
dust25–13-0.0213%18 Sept →
mirage19–170.0017%18 Sept →
cache13–6-0.0016%18 Sept →
ancient13–7-0.0215%17 Sept →
inferno6–13-0.0522%17 Sept →
inferno11–130.0115%20 Jul →
dust211–13-0.0120%11 Jul →
inferno13–30.1324%10 Jul →
dust213–7-0.0021%6 Jul →
ancient13–30.1223%3 Jul →
mirage11–13-0.0112%2 Jul →
mirage13–30.0319%2 Jul →
inferno9–13-0.0221%23 Jun →
anubis13–80.0714%18 Jun →
ancient11–130.0119%15 Jun →
anubis13–20.049%15 Jun →
dust28–13-0.0115%14 Jun →
anubis13–11-0.0312%12 Jun →
inferno5–130.0019%12 Jun →
ancient13–30.0110%11 Jun →
anubis13–20.0410%10 Jun →
cache11–13-0.058%9 Jun →
anubis16–14-0.0216%8 Jun →
mirage13–100.0419%4 Jun →
mirage13–110.0326%3 Jun →
ancient7–130.0124%31 May →
ancient10–130.0224%29 May →
cache9–13-0.0612%28 May →
mirage13–3-0.0317%13 May →
mirage12–16-0.0221%11 Mar →
ancient3–13-0.0722%9 Mar →
ancient10–13-0.0616%9 Mar →
inferno13–70.0516%9 Mar →
dust23–130.0032%9 Mar →
dust213–3-0.0113%9 Mar →
anubis13–6-0.0421%9 Mar →
dust215–15-0.0217%9 Mar →
ancient13–80.0512%4 Mar →
ancient13–100.0214%4 Mar →
dust26–13-0.056%1 Mar →
overpass6–13-0.0517%1 Mar →
mirage13–110.0816%1 Mar →
dust213–11-0.0418%1 Mar →
ancient4–13-0.046%27 Feb →
ancient9–130.028%27 Feb →
mirage13–60.0413%27 Feb →
overpass16–130.0113%27 Feb →
ancient13–70.036%25 Feb →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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