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pumba — CS2 Stats

76561198820425264[U:1:860159536]✓ No bans

1,807Tracked matches31%Win rate2020Tracked since
2,275Hours in CS13Hrs last 2 wks
CSDB Rating4.5 DevelopingPassive Rifler
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

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CSDB.GGpumbaFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim65
Positioning28
Utility48

0–100 skill scores via Leetify.

Recent form

COLD43–52–5Last 10043%Win rateWLLLLWLLLW

Last 10 vs previous 10: +10pp win rate · -0.00 avg rating

Player DNA

Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.

Aim6.5
Aggression1.5
Utility4.8
Positioning2.8
Opening Duels0.0
Clutch1.8

Strong CT-side opener

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 74% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; lower positioning 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

Positioning. Positioning trails aim by 37 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 34% on CT to 13% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim6.5
Positioning2.8
Utility4.8
Mechanics7.9
Opening Duels0.5
Win Impact0.0

Composite 4.5/10 (Developing), 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-0.05−0.01
first ⅓ avg -0.04 → last ⅓ avg -0.05
Reaction time549ms−46ms
first ⅓ avg 595ms → last ⅓ avg 549ms
Headshot accuracy14.9%−2.0%
first ⅓ avg 16.9% → last ⅓ avg 14.9%

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 — anubis 13–7
13–1Biggest win — ancient
5Longest win streak
10–12In matches decided by ≤2 rounds
10Overtime games

Map breakdown

mirageBest map · 55% over 20infernoWeakest map · 38% over 16
MapGradePlayedRecordWin rateAvg rating
mirageA2011–955%-0.03
anubisC177–1041%-0.05
ancientC167–944%-0.05
infernoC166–1038%-0.04
nukeC125–742%-0.02
overpassC94–544%-0.04
cacheC83–538%-0.04
dust2—20–20%-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

52,551Lifetime kills
0.93K/D
2,968Matches
39.9%Match win rate
55.3%Headshot % · Top 25% of tracked players
8.9%Shot accuracy
3,559MVPs
1,356Hours (in match)
3,314Bombs planted
562Bombs defused

Most-used weapons

AK-4725,318
M4A4 / M4A1-S7,943
MP92,333
P2000 / USP-S2,323
Glock-181,959
Galil AR1,632
MAC-101,533
MP71,096
Desert Eagle1,089
FAMAS962

Lifetime map wins

4,351inferno
2,958nuke
1,570dust2
764train
675vertigo
75office
36safehouse
28cbble

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

Faceit stats

Combat

50Matches
52%Win rate
1.05Avg K/D
82.6ADR
39%Headshot %

Clutches & streaks

29%1v1 clutch win
25%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1650%1.0614.5
Anubis838%0.9213.8
Nuke743%0.9814.0
Inferno683%1.3915.2
Ancient4100%1.0115.3
Dust2425%1.2516.5
Train333%0.7614.0
Overpass250%0.7613.0

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.

15.1%Headshot accuracy
33.0%Accuracy (enemy spotted)
33.9%Spray accuracy
85.7%Counter-strafing
11.2°Preaim
549msReaction time
13.4%T opening success
33.6%CT opening success
0.37Enemies flashed / flash
3.1%Flash assists
6.11HE damage / grenade
11.96Flashes / 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 0.37 — 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 13.3769% — 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.

38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–11-0.0312%26 Aug →
inferno6–13-0.0731%26 Aug →
cache4–13-0.0933%26 Aug →
mirage6–13-0.0412%26 Aug →
mirage11–13-0.0630%25 Aug →
mirage13–8-0.0716%25 Aug →
inferno7–13-0.0621%25 Aug →
nuke7–13-0.066%24 Aug →
ancient11–13-0.0711%23 Aug →
mirage16–12-0.0123%23 Aug →
ancient7–13-0.0520%17 Aug →
nuke7–130.0111%17 Aug →
inferno13–6-0.056%17 Aug →
mirage2–13-0.0613%17 Aug →
anubis10–13-0.1213%16 Aug →
inferno10–13-0.076%16 Aug →
anubis13–10-0.0417%16 Aug →
inferno15–15-0.0311%26 Jul →
anubis8–13-0.104%26 Jul →
mirage11–13-0.0124%26 Jul →
cache1–13-0.0318%26 Jul →
ancient7–13-0.059%26 Jul →
ancient10–13-0.0518%18 Jul →
cache5–13-0.0315%18 Jul →
mirage9–13-0.0812%18 Jul →
anubis13–5-0.040%18 Jul →
ancient3–13-0.0820%15 Jul →
mirage13–6-0.0615%15 Jul →
inferno6–1-0.0322%15 Jul →
anubis13–70.0711%10 Jul →
anubis13–6-0.048%6 Jul →
mirage13–5-0.039%6 Jul →
anubis6–13-0.0817%6 Jul →
ancient16–14-0.0714%4 Jul →
overpass13–8-0.0116%4 Jul →
anubis8–13-0.0712%4 Jul →
inferno9–13-0.0917%1 Jul →
ancient13–11-0.0726%1 Jul →
mirage15–15-0.0411%1 Jul →
overpass13–7-0.0127%1 Jul →
mirage13–30.0718%29 Jun →
anubis7–13-0.1024%29 Jun →
ancient11–13-0.073%29 Jun →
nuke13–7-0.0111%29 Jun →
mirage13–11-0.0812%29 Jun →
mirage13–110.0121%27 Jun →
ancient13–11-0.038%27 Jun →
dust26–13-0.0813%27 Jun →
inferno10–13-0.0550%27 Jun →
anubis16–14-0.0611%23 Jun →
dust211–13-0.0117%23 Jun →
mirage15–15-0.0210%16 Jun →
overpass11–13-0.049%1 Jun →
inferno13–8-0.0213%1 Jun →
anubis13–11-0.0118%1 Jun →
anubis15–150.0022%31 May →
inferno13–70.0223%31 May →
overpass11–13-0.0317%31 May →
nuke13–60.0116%31 May →
inferno13–60.0213%31 May →
anubis15–15-0.0519%31 May →
inferno14–16-0.0312%27 May →
nuke13–30.0522%27 May →
nuke6–13-0.0119%15 May →
overpass4–13-0.0728%15 May →
inferno6–13-0.096%14 May →
ancient13–60.0022%14 May →
anubis11–13-0.0918%14 May →
nuke10–13-0.073%6 May →
mirage8–13-0.0026%6 May →
overpass13–9-0.0016%5 May →
ancient13–11-0.0114%5 May →
mirage13–70.0221%5 May →
cache2–6-0.1167%5 May →
nuke13–6-0.0213%3 May →
cache13–60.0016%30 Apr →
cache13–8-0.0420%30 Apr →
cache13–100.0113%30 Apr →
cache6–13-0.0725%30 Apr →
nuke14–16-0.0212%28 Apr →
inferno3–13-0.0914%28 Apr →
overpass13–7-0.0714%31 Mar →
nuke8–13-0.0614%31 Mar →
inferno13–5-0.0431%31 Mar →
overpass11–13-0.0810%31 Mar →
inferno9–13-0.0316%31 Mar →
ancient4–13-0.108%31 Mar →
anubis10–13-0.0624%25 Mar →
mirage8–13-0.0820%24 Mar →
anubis6–13-0.0618%24 Mar →
mirage13–10-0.0419%24 Mar →
nuke13–10-0.0015%24 Mar →
ancient11–13-0.079%22 Mar →
nuke8–13-0.048%22 Mar →
mirage13–11-0.049%22 Mar →
ancient9–13-0.069%11 Mar →
ancient13–10.0223%11 Mar →
mirage13–8-0.0327%11 Mar →
anubis13–5-0.065%11 Mar →
overpass5–13-0.063%11 Mar →

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 →

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