Pumba

Pumba — CS2 Stats

76561197960823571[U:1:557843]Steam profile ↗✓ No bans

2,564Tracked matches57%Win rate2020Tracked since
4,008Hours in CS53Hrs last 2 wks
CSDB Rating4.4 Developing
Premier CS Rating26,796Top 10% of 44,590 CSDB-tracked playersRed band · top ~2.1% of ranked players (population est.)
CSDB Leaderboard#2597 of 59794 tracked
FaceitLevel 8 · 1,549 ELOTop 31.2% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=3,003), 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 8 medianLevel 9 medianvs Level 9
Headshot rate38.9%47.0%48.4%9.5% short
Shot accuracy12.1%12.8%13.2%1.1% short
Kill/death ratio1.061.071.08meets
Match win rate39.6%46.4%47.0%7.4% short

This profile matches the typical Level 9 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGPumbaFACEITLevel 8 · 1,549 ELOSTANDINGTop 31.2% of rankedPREMIER26,796 · Red bandcsdb.gg/stats

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Performance scores

Aim43
Positioning41
Utility61

0–100 skill scores via Leetify.

Recent form

HOT59383Last 10059%Win rateWWWWWWWWWL

Last 10 vs previous 10: +50pp win rate · -0.00 avg rating

Player DNA

Aim4.3
Aggression3.5
Utility6.1
Positioning4.1
Opening Duels0.0
Clutch4.2

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

b1t

Plays most like b1t 76% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-fight frequency; 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

T-side openings. Opening success drops from 37% on CT to 19% on T — the same duels are being taken with worse setups on the attacking side.

Counter-strafing. Only 61% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.3
Positioning4.1
Utility6.1
Mechanics2.4
Opening Duels0.8
Win Impact7.2

Composite 4.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.05 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 time511ms−17ms
first ⅓ avg 528ms → last ⅓ avg 511ms
Headshot accuracy14.5%+2.8%
first ⅓ avg 11.8% → last ⅓ avg 14.5%

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

0.17Best rating — inferno 9–3
130Biggest win — mirage
9Longest win streak
W9Current streak
67In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 89% over 9cacheWeakest map · 44% over 18
MapGradePlayedRecordWin rateAvg rating
mirageA2213959%-0.02
infernoS2114767%-0.00
cacheC1881044%-0.00
nukeB126650%0.00
anubisB115645%-0.01
ancientS98189%0.03
dust2S54180%-0.02
overpass21150%-0.02

Across the last 100 tracked matches.

Lifetime stats

122,485Lifetime kills
1.06K/D
6,203Matches
39.6%Match win rate
38.9%Headshot %
12.1%Shot accuracy
10,280MVPs
2,655Hours (in match)
6,523Bombs planted
1,430Bombs defused

Most-used weapons

AK-4745,866
AWP13,962
P2502,053
UMP-451,889
MAC-101,863
FAMAS1,672

Lifetime map wins

11,046inferno
5,478nuke
4,449dust2
3,571vertigo
1,474train
489cbble
192office
140dust

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

Faceit stats

Combat

1,027Matches
51%Win rate
0.99Avg K/D
74.9ADR
36%Headshot %

Clutches & streaks

41%1v1 clutch win
25%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Inferno12356%0.9913.8
Nuke11466%1.0815.6
Mirage11445%0.8813.8
Ancient10749%0.9914.8
Anubis8444%1.0914.4
Overpass4457%1.0014.2
Vertigo3959%1.0515.8
Dust22232%0.8011.8

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.

14.9%Headshot accuracy
29.6%Accuracy (enemy spotted)
32.5%Spray accuracy
60.8%Counter-strafing
10.9°Preaim
509msReaction time
18.8%T opening success
36.7%CT opening success
0.55Enemies flashed / flash
4.5%Flash assists
8.45HE damage / grenade
22.08Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.8811% — below the 15% mark we flag

    Aim Training
  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 18.8281% — below the 40% mark we flag

Spend your practice time on Cache

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 18 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
mirage13–9-0.0311%30 Aug
dust213–9-0.1433%30 Aug
mirage13–7-0.067%29 Aug
ancient13–100.0321%29 Aug
inferno13–8-0.007%29 Aug
mirage13–8-0.0611%29 Aug
inferno13–20.1115%28 Aug
dust213–60.0513%28 Aug
cache13–8-0.049%28 Aug
cache4–13-0.0113%28 Aug
mirage13–16-0.0518%27 Aug
mirage4–10.0133%27 Aug
anubis8–10.0125%27 Aug
mirage5–13-0.0417%27 Aug
inferno1–13-0.059%27 Aug
inferno11–13-0.047%26 Aug
mirage17–190.0218%25 Aug
nuke10–13-0.0517%25 Aug
ancient13–110.018%25 Aug
anubis13–70.0513%25 Aug
mirage13–90.0218%23 Aug
ancient13–90.0324%20 Aug
mirage16–120.0511%20 Aug
anubis5–13-0.0712%19 Aug
cache16–19-0.0217%18 Aug
cache16–140.0218%18 Aug
inferno3–13-0.0310%15 Aug
anubis6–13-0.0517%15 Aug
inferno1–13-0.0813%15 Aug
nuke8–13-0.1010%15 Aug
cache10–13-0.005%14 Aug
dust213–70.038%13 Aug
cache3–13-0.0410%12 Aug
inferno14–160.0313%11 Aug
cache13–70.0222%11 Aug
anubis12–12-0.0919%11 Aug
mirage13–3-0.017%10 Aug
cache13–9-0.027%10 Aug
cache13–100.018%10 Aug
cache5–13-0.086%9 Aug
cache13–1-0.0213%7 Aug
cache13–60.0712%7 Aug
cache13–60.0324%7 Aug
cache12–120.0412%7 Aug
cache9–130.0313%4 Aug
cache5–130.0519%4 Aug
ancient13–50.0714%4 Aug
inferno13–60.0517%3 Aug
ancient13–10-0.0213%3 Aug
anubis13–40.0113%3 Aug
nuke13–50.039%3 Aug
mirage13–40.058%2 Aug
anubis5–13-0.068%2 Aug
cache3–13-0.049%2 Aug
inferno13–9-0.0718%1 Aug
nuke13–40.0314%1 Aug
anubis6–13-0.0213%1 Aug
ancient13–60.0428%1 Aug
nuke13–100.0611%1 Aug
overpass9–70.0111%1 Aug
inferno9–1-0.0425%1 Aug
nuke3–9-0.118%1 Aug
anubis10–13-0.019%29 Jul
mirage9–13-0.0612%28 Jul
cache6–13-0.0511%28 Jul
anubis13–90.0620%27 Jul
ancient13–80.0717%26 Jul
mirage5–13-0.0816%26 Jul
inferno9–30.1711%24 Jul
inferno0–9-0.260%24 Jul
mirage13–0-0.080%23 Jul
ancient13–20.0413%23 Jul
nuke16–140.0013%23 Jul
dust26–13-0.0812%23 Jul
mirage13–9-0.049%23 Jul
inferno13–11-0.0111%23 Jul
inferno13–110.0116%23 Jul
mirage13–50.0116%23 Jul
dust213–60.0321%22 Jul
inferno16–130.0110%22 Jul
mirage13–100.008%21 Jul
mirage8–130.0413%21 Jul
mirage11–13-0.0514%11 Jul
nuke8–130.019%7 Jul
nuke13–60.1520%5 Jul
mirage13–90.0515%5 Jul
mirage5–130.0519%3 Jul
ancient11–13-0.0310%3 Jul
inferno13–60.059%3 Jul
anubis13–40.074%3 Jul
nuke13–16-0.0217%3 Jul
mirage4–13-0.085%3 Jul
nuke11–130.0212%3 Jul
inferno9–50.0117%3 Jul
inferno8–8-0.0014%2 Jul
inferno13–9-0.0413%2 Jul
inferno16–120.0210%1 Jul
inferno13–100.1012%30 Jun
overpass11–13-0.0410%29 Jun
nuke13–80.0110%29 Jun

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 →