♥Pumba♥ — CS2 Stats

SE76561198327586910[U:1:367321182]Steam profile ↗✓ No bans

3,460Tracked matches53%Win rate2020Tracked since

6,793Hours in CS54Hrs last 2 wks

CSDB Rating6.0 SolidHybrid Rifler

FaceitLevel 5Top 67.6% of ranked FACEIT players

WingmanGold Nova II

Ladder ranks via Leetify

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Performance scores

Aim76

Positioning52

Utility61

0–100 skill scores via Leetify.

Recent form

STEADY50–50Last 10050%Win rateLWLWWWWLLW

Last 10 vs previous 10: +20pp win rate · +0.06 avg rating

Player DNA

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

Aim7.6

Aggression6.0

Utility6.1

Positioning5.2

Opening Duels2.2

Clutch6.0

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

Plays most like Twistzz 92% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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

T-side openings. Opening success drops from 50% on CT to 27% 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

Aim7.6

Positioning5.2

Utility6.1

Mechanics5.9

Opening Duels2.6

Win Impact6.1

Composite 6.0/10 (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 rating-0.01−0.01

first ⅓ avg 0.00 → last ⅓ avg -0.01

Reaction time526ms−18ms

first ⅓ avg 543ms → last ⅓ avg 526ms

Headshot accuracy23.0%+2.1%

first ⅓ avg 20.9% → last ⅓ avg 23.0%

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.

Highlights

0.15Best rating — anubis 13–6

13–0Biggest win — vertigo

5Longest win streak

6–2In matches decided by ≤2 rounds

10Overtime games

Map breakdown

anubisBest map · 67% over 12infernoWeakest map · 31% over 16

Map	Grade	Played	Record	Win rate	Avg rating
vertigo	B	23	11–12	48%	0.00
dust2	B	22	11–11	50%	-0.01
inferno	D	16	5–11	31%	-0.02
ancient	A	14	8–6	57%	0.00
anubis	S	12	8–4	67%	-0.00
mirage	C	5	2–3	40%	-0.04
cache	—	4	2–2	50%	-0.02
nuke	—	3	3–0	100%	0.06
overpass	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

157,405Lifetime kills

0.97K/D

8,548Matches

45.3%Match win rate

43.4%Headshot %

11.6%Shot accuracy

20,599MVPs

3,769Hours (in match)

11,550Bombs planted

2,325Bombs defused

Most-used weapons

AK-4755,009

M4A4 / M4A1-S31,369

AWP14,037

Desert Eagle8,801

P2000 / USP-S8,550

Glock-187,188

MP75,187

UMP-453,796

P2502,942

Five-SeveN2,865

Lifetime map wins

18,042inferno

7,430dust2

6,440vertigo

5,503nuke

1,728train

1,137cbble

268office

174safehouse

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

Faceit stats

Combat

44Matches

52%Win rate

1.26Avg K/D

85.7ADR

53%Headshot %

Clutches & streaks

50%1v1 clutch win

27%1v2 clutch win

5Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	9	44%	1.06	16.3
Anubis	9	67%	1.29	15.8
Inferno	8	38%	1.09	17.8
Nuke	4	75%	1.66	14.0
Vertigo	4	50%	0.91	14.0
Dust2	3	33%	1.05	18.7
Overpass	3	100%	2.46	26.0
Mirage	3	33%	1.06	15.7

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

32.7%Accuracy (enemy spotted)

35.3%Spray accuracy

76.8%Counter-strafing

9.3°Preaim

521msReaction time

26.9%T opening success

50.5%CT opening success

0.58Enemies flashed / flash

5.3%Flash assists

9.21HE damage / grenade

12.01Flashes / 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.

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 26.9058% — 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.

31% 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

Map	Score	Rating	HS%	Date
ancient	5–13	0.02	15%	28 Aug →
nuke	13–6	0.06	22%	28 Aug →
vertigo	6–13	0.03	19%	28 Aug →
inferno	13–6	0.07	24%	28 Aug →
vertigo	16–13	0.05	15%	28 Aug →
anubis	8–0	0.05	55%	28 Aug →
dust2	16–12	-0.01	24%	28 Aug →
inferno	6–13	-0.06	13%	28 Aug →
inferno	5–13	0.01	14%	28 Aug →
dust2	22–20	0.02	18%	27 Aug →
anubis	13–11	-0.03	28%	27 Aug →
vertigo	13–4	0.04	12%	27 Aug →
ancient	9–13	-0.04	21%	27 Aug →
cache	13–3	0.00	29%	27 Aug →
inferno	7–13	-0.02	27%	27 Aug →
anubis	0–10	-0.08	30%	27 Aug →
dust2	5–13	-0.05	18%	27 Aug →
inferno	5–13	-0.10	3%	25 Aug →
mirage	7–13	-0.05	26%	25 Aug →
dust2	13–8	0.02	31%	25 Aug →
anubis	3–13	-0.07	30%	25 Aug →
vertigo	7–13	-0.07	21%	25 Aug →
anubis	1–12	-0.10	17%	23 Aug →
ancient	13–9	0.02	31%	23 Aug →
dust2	13–5	-0.04	19%	23 Aug →
mirage	13–7	-0.07	18%	23 Aug →
dust2	13–8	0.04	19%	23 Aug →
dust2	19–16	0.02	28%	22 Aug →
vertigo	13–16	0.01	30%	22 Aug →
dust2	13–4	-0.02	30%	22 Aug →
vertigo	7–13	-0.05	29%	22 Aug →
dust2	4–13	-0.05	25%	21 Aug →
cache	19–15	0.01	20%	21 Aug →
inferno	8–13	-0.03	31%	21 Aug →
vertigo	13–3	-0.03	19%	21 Aug →
inferno	9–13	-0.05	27%	20 Aug →
vertigo	6–13	-0.02	15%	20 Aug →
vertigo	8–13	0.01	17%	19 Aug →
ancient	13–5	0.01	20%	19 Aug →
dust2	13–8	-0.01	27%	19 Aug →
inferno	13–9	0.02	35%	19 Aug →
inferno	22–20	0.03	28%	18 Aug →
dust2	11–13	-0.03	29%	18 Aug →
anubis	13–11	0.07	22%	18 Aug →
ancient	13–7	0.01	29%	18 Aug →
inferno	6–13	-0.07	16%	18 Aug →
inferno	13–5	0.02	26%	17 Aug →
vertigo	13–3	-0.00	32%	17 Aug →
ancient	13–7	0.01	18%	17 Aug →
vertigo	16–12	-0.03	29%	17 Aug →
ancient	6–13	-0.08	27%	17 Aug →
ancient	13–7	0.06	14%	17 Aug →
inferno	4–13	-0.02	26%	17 Aug →
dust2	13–10	-0.08	21%	17 Aug →
nuke	22–19	-0.03	17%	17 Aug →
vertigo	7–13	-0.02	29%	16 Aug →
mirage	5–13	0.01	15%	16 Aug →
dust2	8–13	0.03	30%	16 Aug →
dust2	13–10	-0.03	18%	16 Aug →
vertigo	13–5	0.11	22%	16 Aug →
anubis	7–13	-0.03	25%	16 Aug →
vertigo	7–13	0.00	42%	16 Aug →
dust2	16–12	-0.02	25%	16 Aug →
ancient	6–13	-0.03	25%	16 Aug →
vertigo	10–13	-0.02	22%	16 Aug →
anubis	13–10	0.07	17%	16 Aug →
cache	7–13	-0.10	21%	15 Aug →
vertigo	6–13	-0.04	48%	15 Aug →
inferno	8–13	-0.05	23%	15 Aug →
ancient	13–9	0.05	22%	15 Aug →
dust2	7–13	0.05	17%	15 Aug →
anubis	13–4	-0.00	34%	15 Aug →
mirage	13–7	-0.07	9%	15 Aug →
dust2	3–13	-0.03	26%	15 Aug →
vertigo	13–10	0.05	19%	13 Aug →
anubis	13–4	-0.05	17%	13 Aug →
inferno	13–8	0.06	22%	13 Aug →
mirage	4–13	-0.02	20%	13 Aug →
vertigo	13–5	0.02	31%	13 Aug →
anubis	13–11	-0.02	19%	13 Aug →
dust2	9–13	-0.02	18%	13 Aug →
vertigo	13–0	0.04	16%	13 Aug →
anubis	13–6	0.15	23%	13 Aug →
overpass	4–13	-0.03	18%	13 Aug →
vertigo	4–9	-0.07	15%	13 Aug →
ancient	13–10	0.01	19%	13 Aug →
dust2	10–13	-0.09	12%	13 Aug →
inferno	8–13	-0.02	27%	13 Aug →
nuke	13–7	0.13	26%	12 Aug →
ancient	13–9	0.04	25%	12 Aug →
dust2	8–13	0.01	7%	12 Aug →
vertigo	13–7	0.05	12%	12 Aug →
ancient	11–13	-0.01	13%	12 Aug →
dust2	10–13	-0.01	17%	12 Aug →
cache	7–13	0.01	19%	12 Aug →
vertigo	7–13	-0.02	18%	10 Aug →
inferno	1–13	-0.07	25%	10 Aug →
dust2	10–13	0.01	22%	10 Aug →
ancient	7–13	-0.04	23%	10 Aug →
vertigo	13–11	0.04	27%	10 Aug →