! PUMA

! PUMA — CS2 Stats

CA76561199127192368[U:1:1166926640]Steam profile ↗✓ No bans

629Tracked matches63%Win rate2021Tracked since
CSDB Rating5.4 DevelopingSupport
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,180 → 1,180
+3Tracked matches · now 629
+3.3ppWin rate · 60.0% → 63.3%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 58 days played since 15 Feb 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 11,743 -447 20 Feb3 Jul · 19 days played
11,74315,559peak 15,55920 Feb3 Jul
Faceit ELO: 1,180 +0 30 Aug20 Sept · 3 observations
1,1801,180peak 1,18030 Aug20 Sept
15,826Peak Premier in tracked matches
1,180Highest Faceit ELO seen on CSDB
58Days played since 2026-02-15

Faceit ELO

  • At peak — 1,180
  • Next: Level 6 at 1,201 21 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-08-30
  • Level 4 first seen 2026-08-30

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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CSDB.GG! PUMAPEAK ELO1,180csdb.gg/stats

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Performance scores

Aim72
Positioning50
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY54433Last 10054%Win rateWWWLLLLWLL

Last 10 vs previous 10: −30pp win rate · −0.02 avg rating · +7.3pp headshot accuracy · −52ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 32 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 28%
  • Avg reaction 575ms

Last 10

  • 46 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 27%
  • Avg reaction 580ms

Last 20

  • 119 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 23%
  • Avg reaction 606ms

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: SupportUtility contribution stands above the rest of this profile (+1.1 against its own average).

Aim7.2
Utility5.1
Positioning5.0
Opening Duels2.2
Clutch3.6

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

device

Plays most like device 93% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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. 605ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim7.2
Positioning5.0
Utility5.1
Mechanics6.2
Opening Duels1.9
Win Impact9.4

Composite 5.4/10 (Developing), 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 rating-0.02−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.02
Reaction time612ms+12ms
first ⅓ avg 600ms → last ⅓ avg 612ms
Headshot accuracy22.3%+2.7%
first ⅓ avg 19.6% → last ⅓ avg 22.3%

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 · 13–1 · ancient, 15 Feb
40%Best headshot accuracy · 4–13 · mirage, 18 Sept
383msFastest reaction time · 13–3 · inferno, 24 May
13–1Biggest win · vertigo, 17 Jun

Across the last 100 tracked matches.

Highlights

9Longest win streak
W3Current streak
712In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 71% over 7mirageWeakest map · 44% over 34
MapGradePlayedRecordWin rateAvg rating
mirageC34151944%-0.02
ancientA2012860%-0.00
anubisA127558%0.00
vertigoA127558%-0.02
dust2S107370%0.01
infernoS75271%-0.03
overpass3030%-0.02
nuke21150%0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (44% over 34). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

391Matches
54%Win rate
0.94Avg K/D
69.3ADR
49%Headshot %

Clutches & streaks

38%1v1 clutch win
18%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage11553%0.9512.9
Anubis9456%0.9413.2
Ancient4360%0.9614.1
Inferno3546%0.8212.9
Dust22733%0.9915.1
Vertigo2658%0.9915.0
Train1362%0.9413.9
Nuke729%0.6210.0

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.

22.4%Headshot accuracy
34.9%Accuracy (enemy spotted)
36.2%Spray accuracy
77.8%Counter-strafing
9.9°Preaim
605msReaction time
37.5%T opening success
37.4%CT opening success
0.55Enemies flashed / flash
6.3%Flash assists
7.56HE damage / grenade
7.88Flashes / 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 37.5295% — below the 40% mark we flag

Spend your practice time on Mirage

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

44% win rate across 34 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–9-0.0223%23 Sept
mirage16–130.0019%18 Sept
anubis13–110.0829%18 Sept
mirage4–13-0.1040%18 Sept
mirage8–13-0.0728%17 Sept
ancient11–13-0.0630%16 Sept
mirage4–13-0.0830%16 Sept
vertigo13–9-0.0124%14 Sept
mirage11–13-0.0214%9 Sept
vertigo9–13-0.0633%9 Sept
mirage13–7-0.017%8 Sept
mirage6–13-0.0121%8 Sept
vertigo13–80.0220%8 Aug
ancient25–22-0.0320%3 Aug
inferno7–13-0.0518%25 Jul
mirage1–13-0.1017%18 Jul
mirage13–100.0320%15 Jul
ancient7–3-0.0418%5 Jul
vertigo13–40.0127%5 Jul
mirage13–70.0129%5 Jul
mirage13–20.0526%5 Jul
ancient13–10-0.0224%3 Jul
vertigo10–13-0.0338%28 Jun
mirage13–10-0.0110%26 Jun
anubis13–60.0330%26 Jun
ancient11–130.019%20 Jun
vertigo13–1-0.0511%17 Jun
ancient13–10-0.0314%16 Jun
dust213–8-0.0414%13 Jun
dust213–80.0135%13 Jun
mirage10–13-0.0228%12 Jun
mirage11–13-0.0119%11 Jun
vertigo9–13-0.0114%11 Jun
mirage7–13-0.0334%11 Jun
mirage11–13-0.0414%10 Jun
mirage13–100.0113%2 Jun
ancient11–13-0.0023%2 Jun
dust27–13-0.0517%2 Jun
mirage13–6-0.0521%31 May
mirage13–6-0.0119%30 May
dust213–50.0535%29 May
anubis13–10-0.0226%24 May
vertigo16–140.0320%24 May
inferno13–3-0.0417%24 May
vertigo13–11-0.0233%24 May
inferno13–7-0.0226%16 May
dust213–6-0.0214%16 May
inferno0–10-0.0040%15 May
anubis8–13-0.0235%14 May
vertigo7–13-0.0212%14 May
mirage13–40.0229%14 May
ancient8–13-0.0113%12 May
ancient13–5-0.0232%12 May
mirage11–130.0221%10 May
vertigo13–10-0.0323%10 May
mirage13–11-0.0329%10 May
inferno13–8-0.0711%3 May
mirage8–13-0.0716%28 Apr
ancient13–30.0427%26 Apr
mirage9–13-0.0230%25 Apr
inferno13–7-0.0821%25 Apr
anubis16–120.0621%19 Apr
anubis13–11-0.0021%18 Apr
mirage11–13-0.0317%17 Apr
mirage11–130.0218%12 Apr
ancient13–11-0.0123%9 Apr
ancient7–130.0130%6 Apr
ancient13–9-0.0815%5 Apr
vertigo8–13-0.0725%5 Apr
overpass12–160.0119%5 Apr
dust211–130.0018%29 Mar
anubis2–13-0.1022%29 Mar
ancient7–13-0.0715%19 Mar
mirage2–13-0.0718%19 Mar
mirage5–130.0238%19 Mar
mirage13–6-0.0224%15 Mar
dust215–150.0522%15 Mar
overpass3–9-0.1021%9 Mar
ancient15–15-0.0017%5 Mar
mirage14–16-0.0414%4 Mar
mirage13–10-0.0020%3 Mar
anubis6–13-0.0013%2 Mar
mirage13–60.0422%2 Mar
ancient13–110.0914%2 Mar
anubis13–5-0.088%24 Feb
dust213–80.0216%24 Feb
dust213–50.0418%22 Feb
dust213–30.1025%22 Feb
inferno13–40.0420%22 Feb
anubis13–100.0614%21 Feb
mirage13–160.0111%21 Feb
ancient13–60.0419%21 Feb
anubis11–13-0.0131%20 Feb
ancient13–90.028%20 Feb
nuke13–70.0222%20 Feb
overpass8–130.0223%17 Feb
ancient15–15-0.0121%15 Feb
anubis6–130.0327%15 Feb
nuke10–130.0426%15 Feb
ancient13–10.1324%15 Feb

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 →