pumba

pumba — CS2 Stats

FI76561198150458009[U:1:190192281]Steam profile ↗✓ No bans

3,930Tracked matches59%Win rate2020Tracked since
5,908Hours in CS
CSDB Rating6.7 SolidSupport
CSDB Leaderboard#61312 of 259982 tracked
FaceitLevel 10 · 2,132 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 21,636 +771 13 Mar – 3 Jun · 17 days played
18,44221,636peak 21,63613 Mar3 Jun
21,636Peak Premier in tracked matches
2,132Highest Faceit ELO seen on CSDB
41Days played since 2026-03-12

Faceit ELO

  • At peak — 2,132
  • Next: 2,500 ELO at 2,500 — 368 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.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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 rate48.6%50.9%
Shot accuracy14.9%13.7%
Kill/death ratio0.861.09
Match win rate47.0%48.4%

Share this profile

CSDB.GGpumbaFACEITLevel 10 · 2,132 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,132csdb.gg/stats

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Performance scores

Aim82
Positioning51
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY51–44–5Last 10051%Win rateWLWWWLLWWL

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating · −1.9pp headshot accuracy · −22ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 28%
  • Avg reaction 597ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 29%
  • Avg reaction 606ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 30%
  • Avg reaction 617ms

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: Support — Utility contribution stands above the rest of this profile (+1.2 against its own average).

Aim8.2
Utility5.5
Positioning5.1
Opening Duels2.9
Clutch3.8

Excellent counter-strafing

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

NiKo

Plays most like NiKo 97% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; lower utility contribution.

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

Preaim. Mechanical aim is strong but the crosshair sits 10.2° off target when enemies appear — placement, not flicking, is the bigger win available.

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 48% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 640ms 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

Aim8.2
Positioning5.1
Utility5.5
Mechanics8.8
Opening Duels2.3
Win Impact8.1

Composite 6.7/10 (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 rating0.01+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time648ms−41ms
first ⅓ avg 688ms → last ⅓ avg 648ms
Headshot accuracy27.0%+4.4%
first ⅓ avg 22.6% → last ⅓ avg 27.0%

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.

Personal bests

0.14Best match rating · 13–6 · overpass, 14 Apr →
100%Best headshot accuracy · 5–13 · nuke, 14 May →
422msFastest reaction time · 13–3 · ancient, 15 Mar →
13–2Biggest win · cache, 7 May →

Across the last 100 tracked matches.

Highlights

6Longest win streak
5–6In matches decided by ≤2 rounds
3Overtime games

Map breakdown

nukeBest map · 91% over 11mirageWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
cacheB3418–1653%0.02
nukeS1110–191%0.02
anubisD93–633%0.01
infernoD92–722%0.00
dust2B84–450%0.02
vertigoA74–357%0.02
overpassC73–443%0.03
ancientA74–357%0.01
mirageD51–420%-0.04
boulder—11–0100%0.06
train—11–0100%0.02
alpine—10–10%0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (20% over 5). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

186,204Lifetime kills
0.86K/D
7,703Matches
47.0%Match win rate
48.6%Headshot %
14.9%Shot accuracy · Top 50% of Level 10 players
21,021MVPs
5,908Hours (in match)
7,960Bombs planted
2,980Bombs defused

Most-used weapons

AK-4778,830
AWP20,435
SG 5533,426
P2502,658
Knife2,497

Lifetime map wins

13,643vertigo
12,159inferno
9,988nuke
9,065train
7,758dust2
202cbble
161office
54lake

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

Faceit stats

Combat

2,998Matches
51%Win rate
1.16Avg K/D
77.8ADR
44%Headshot %

Clutches & streaks

39%1v1 clutch win
20%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient14255%1.1416.4
Inferno12045%1.1116.0
Anubis9850%1.1015.6
Vertigo9766%1.2917.3
Mirage9539%0.9914.3
Nuke9056%1.2017.4
Dust27543%0.9514.6
Overpass2854%1.0716.1

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.

25.1%Headshot accuracy
36.2%Accuracy (enemy spotted)
40.0%Spray accuracy
89.6%Counter-strafing
10.2°Preaim
640msReaction time
25.1%T opening success
48.2%CT opening success
0.54Enemies flashed / flash
10.8%Flash assists
10.05HE damage / grenade
9.61Flashes / 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 25.083% — 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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–40.1120%30 Jul →
anubis2–13-0.0843%22 Jul →
boulder13–90.0616%20 Jul →
vertigo13–90.1430%20 Jul →
dust213–90.0933%20 Jul →
overpass4–13-0.0627%22 Jun →
anubis11–13-0.0427%22 Jun →
nuke13–11-0.0117%3 Jun →
dust27–20.0233%3 Jun →
ancient5–13-0.0644%29 May →
nuke16–13-0.0121%29 May →
anubis15–150.0119%28 May →
mirage13–5-0.0321%28 May →
anubis12–12-0.0535%17 May →
cache8–13-0.0229%14 May →
nuke5–13-0.01100%14 May →
anubis3–40.0120%14 May →
cache9–130.0322%14 May →
cache13–60.0925%13 May →
vertigo6–13-0.0118%12 May →
train13–40.0232%12 May →
cache12–120.0030%12 May →
cache13–10-0.0221%11 May →
vertigo13–80.0323%11 May →
cache13–6-0.0118%11 May →
vertigo9–13-0.0121%10 May →
cache13–11-0.0126%10 May →
cache13–90.0014%10 May →
cache13–110.0522%10 May →
inferno9–13-0.0121%10 May →
cache13–80.1321%9 May →
alpine6–130.0426%8 May →
cache2–13-0.0115%8 May →
cache13–80.0733%8 May →
cache12–120.0126%8 May →
ancient13–80.0336%8 May →
overpass13–80.1124%7 May →
inferno13–70.0933%7 May →
nuke13–30.1023%7 May →
cache6–130.0023%7 May →
cache9–130.0321%7 May →
cache13–40.0536%7 May →
cache13–20.1242%7 May →
vertigo13–40.1032%6 May →
cache13–90.0617%6 May →
cache7–00.0636%6 May →
cache13–100.0019%6 May →
cache5–130.0122%5 May →
cache5–13-0.0425%5 May →
cache12–12-0.0517%4 May →
cache8–130.0225%4 May →
cache13–100.0418%4 May →
cache13–6-0.0332%4 May →
cache13–50.0611%4 May →
cache9–13-0.0324%3 May →
cache13–90.0617%2 May →
cache3–60.0230%2 May →
cache13–8-0.0321%2 May →
cache8–130.0039%2 May →
cache8–130.0932%30 Apr →
cache3–13-0.0414%30 Apr →
inferno7–130.0228%28 Apr →
mirage1–13-0.0417%26 Apr →
vertigo9–13-0.0722%16 Apr →
anubis13–60.0222%16 Apr →
vertigo13–4-0.0117%14 Apr →
overpass13–60.1424%14 Apr →
anubis13–40.0450%6 Apr →
ancient4–13-0.0019%4 Apr →
anubis13–70.1214%4 Apr →
nuke13–50.0113%3 Apr →
mirage5–13-0.0212%2 Apr →
inferno9–130.0141%23 Mar →
dust213–80.0432%23 Mar →
nuke13–70.0330%22 Mar →
ancient0–13-0.0747%21 Mar →
overpass11–130.0023%19 Mar →
anubis11–130.0117%19 Mar →
nuke13–80.0125%18 Mar →
overpass13–110.028%18 Mar →
inferno5–13-0.0323%18 Mar →
dust213–70.0013%17 Mar →
inferno7–13-0.0430%17 Mar →
overpass1–10-0.0129%17 Mar →
overpass11–130.0022%16 Mar →
ancient13–9-0.0113%16 Mar →
dust211–130.0224%16 Mar →
inferno5–13-0.0215%16 Mar →
ancient13–50.0720%16 Mar →
ancient13–30.1018%15 Mar →
dust26–13-0.0321%15 Mar →
mirage8–13-0.0332%15 Mar →
nuke13–20.0314%15 Mar →
dust27–130.0112%14 Mar →
inferno6–13-0.0722%14 Mar →
nuke13–11-0.0323%14 Mar →
inferno16–130.0516%13 Mar →
dust27–13-0.0234%13 Mar →
nuke13–9-0.0215%12 Mar →
mirage6–13-0.0819%12 Mar →

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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