! PUMA

! PUMA — CS2 Stats

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

649Tracked matches59%Win rate2021Tracked since
CSDB Rating5.5 SolidPositional Player
FaceitLevel 8 · 1,180 ELOTop 31.2% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (21 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,180 → 1,180
+20Tracked matches · now 649
−4.7ppWin rate · 63.3% → 58.6%

Rating over time

Premier CS Rating: 11,743 -1,081 21 Feb – 3 Jul · 18 days played
11,74315,559peak 15,55921 Feb3 Jul
Faceit ELO: 1,180 +0 30 Aug – 23 Sept · 4 observations
1,1801,180peak 1,18030 Aug23 Sept
15,826Peak Premier in tracked matches
1,180Highest Faceit ELO seen on CSDB
61Days played since 2026-02-21

Faceit ELO

  • At peak — 1,180
  • 0 over 30 days · steady
  • 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.

Share this profile

CSDB.GG! PUMAFACEITLevel 8 · 1,180 ELOSTANDINGTop 31.2% of ranked30 DAYS0 ELOPEAK ELO1,180csdb.gg/stats

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Performance scores

Aim76
Positioning52
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY55–42–3Last 10055%Win rateWTLWLLWWWW

Last 10 vs previous 10: +30pp win rate · +0.05 avg rating · −7.5pp headshot accuracy · −101ms reaction

Win rate up 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

  • 2–2–1 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 16%
  • Avg reaction 503ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 509ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 559ms

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 (+1.4 against its own average).

Aim7.6
Utility4.9
Positioning5.2
Opening Duels1.5
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

b1t

Plays most like b1t 93% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: 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

CT openings. Opening success drops from 48% on T to 31% on CT — first contacts on the defending side are being lost.

Reaction time. 568ms 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

Aim7.6
Positioning5.2
Utility4.9
Mechanics6.6
Opening Duels2.4
Win Impact7.9

Composite 5.5/10 (Solid), 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-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time582ms−35ms
first ⅓ avg 617ms → last ⅓ avg 582ms
Headshot accuracy22.2%+2.5%
first ⅓ avg 19.6% → last ⅓ avg 22.2%

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

0.27Best match rating · 13–6 · anubis, 4 Oct →
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
7–12In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 75% over 12mirageWeakest map · 45% over 38
MapGradePlayedRecordWin rateAvg rating
mirageB3817–2145%-0.02
ancientA1810–856%-0.01
vertigoB137–654%-0.02
anubisS129–375%0.02
dust2S107–370%0.01
infernoS75–271%-0.03
overpass—20–20%-0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (45% over 38). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

413Matches
53%Win rate
0.94Avg K/D
69.7ADR
48%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage12455%0.9813.3
Anubis9557%0.9413.2
Ancient5052%0.9514.4
Inferno3743%0.8012.6
Dust22931%0.9815.0
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.

21.5%Headshot accuracy
35.1%Accuracy (enemy spotted)
35.7%Spray accuracy
79.7%Counter-strafing
9.2°Preaim
568msReaction time
48.2%T opening success
31.0%CT opening success
0.55Enemies flashed / flash
5.6%Flash assists
8.89HE damage / grenade
7.38Flashes / 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 30.9665% — 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.

45% win rate across 38 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–10-0.0117%6 Oct →
ancient15–15-0.0012%5 Oct →
mirage11–13-0.0721%5 Oct →
anubis13–60.2711%4 Oct →
mirage3–13-0.0619%29 Sept →
vertigo10–13-0.0523%29 Sept →
mirage13–10-0.0013%26 Sept →
mirage13–80.1023%25 Sept →
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 →

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 →

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