Mamba — CS2 Stats

76561198046521417[U:1:86255689]Steam profile ↗✓ No bans

959Tracked matches47%Win rate2020Tracked since

2,524Hours in CS4Hrs last 2 wks

CSDB Rating6.8 SolidAggressive Rifler

Premier CS Rating20,896Top 50% of 44,590 CSDB-tracked playersPink band · top ~7.5% of ranked players (population est.)

CSDB Leaderboard#20089 of 61185 tracked

FaceitLevel 10Top 12.4% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=7,415), 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.

Metric	This player	Level 10 median
Headshot rate	43.7%	51.7%
Shot accuracy	16.0%	13.8%
Kill/death ratio	1.38	1.09
Match win rate	49.8%	48.7%

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Performance scores

Aim89

Positioning61

Utility57

0–100 skill scores via Leetify.

Recent form

STEADY53–45–2Last 10053%Win rateWWLWWLLWLW

Last 10 vs previous 10: +10pp win rate · +0.04 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.9

Aggression10.0

Utility5.7

Positioning6.1

Opening Duels5.0

Sharp aimerStrong 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 device 94% playstyle similarity

Most alike: opening-fight frequency, 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

Strengths

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 58% on CT to 42% 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

Aim8.9

Positioning6.1

Utility5.7

Mechanics6.9

Opening Duels5.0

Win Impact3.9

Composite 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.01

first ⅓ avg 0.02 → last ⅓ avg 0.03

Reaction time547ms−64ms

first ⅓ avg 611ms → last ⅓ avg 547ms

Headshot accuracy20.2%+0.3%

first ⅓ avg 19.9% → last ⅓ avg 20.2%

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.

Highlights

0.20Best rating — dust2 13–1

13–0Biggest win — mirage

7Longest win streak

W2Current streak

10–10In matches decided by ≤2 rounds

12Overtime games

Map breakdown

nukeBest map · 67% over 6infernoWeakest map · 44% over 18

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	31	16–15	52%	0.02
mirage	A	24	14–10	58%	0.01
inferno	C	18	8–10	44%	0.03
ancient	A	14	8–6	57%	0.02
nuke	S	6	4–2	67%	0.05
cache	—	3	1–2	33%	0.01
anubis	—	3	2–1	67%	-0.01
overpass	—	1	0–1	0%	-0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (44% over 18). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

87,982Lifetime kills

1.38K/D · Top 10% of Level 10 players

3,397Matches

49.8%Match win rate · Top 50% of Level 10 players

43.7%Headshot %

16.0%Shot accuracy · Top 50% of Level 10 players

9,895MVPs

1,475Hours (in match)

3,005Bombs planted

827Bombs defused

Most-used weapons

AK-4725,217

M4A4 / M4A1-S15,891

AWP10,543

P2000 / USP-S4,775

Glock-183,809

Desert Eagle3,655

P2502,387

Galil AR1,785

FAMAS1,672

P901,649

Lifetime map wins

10,321dust2

6,073inferno

1,495nuke

1,028vertigo

700train

605cbble

142dust

134office

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

Faceit stats

Combat

257Matches

62%Win rate

1.29Avg K/D

—ADR

43%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

12Longest win streak

Recent Faceit resultsWLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	35	60%	1.29	18.0
Inferno	26	73%	1.30	18.8
Vertigo	16	56%	1.24	19.7
Overpass	9	78%	1.36	18.4
Ancient	7	43%	1.43	20.4
Anubis	7	57%	1.04	18.7
Nuke	2	0%	0.68	13.5

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.

20.0%Headshot accuracy

40.6%Accuracy (enemy spotted)

46.0%Spray accuracy

81.1%Counter-strafing

8.8°Preaim

543msReaction time

42.1%T opening success

58.0%CT opening success

0.66Enemies flashed / flash

7.7%Flash assists

8.39HE damage / grenade

8.83Flashes / match

Recommended for you

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.

44% win rate across 18 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
cache	13–10	0.04	12%	26 Aug →
dust2	16–14	0.11	24%	24 Aug →
ancient	10–13	-0.08	8%	21 Aug →
dust2	13–1	0.20	21%	21 Aug →
inferno	16–14	0.03	15%	14 Aug →
mirage	9–13	-0.00	19%	14 Aug →
dust2	11–13	0.01	22%	13 Aug →
ancient	13–10	0.14	15%	13 Aug →
mirage	11–13	-0.00	23%	13 Aug →
inferno	13–4	0.11	26%	13 Aug →
anubis	13–9	0.01	18%	12 Aug →
mirage	13–10	0.05	24%	12 Aug →
dust2	13–4	0.13	43%	12 Aug →
ancient	8–13	-0.03	21%	4 Aug →
mirage	10–13	-0.02	18%	4 Aug →
nuke	13–4	0.09	35%	25 Jul →
dust2	6–13	-0.02	11%	25 Jul →
inferno	8–13	-0.00	11%	25 Jul →
inferno	9–13	0.04	24%	24 Jul →
mirage	13–6	-0.03	14%	24 Jul →
dust2	13–16	0.11	23%	23 Jul →
mirage	13–16	0.03	27%	20 Jul →
dust2	11–13	0.01	18%	19 Jul →
nuke	13–2	0.08	27%	19 Jul →
mirage	9–13	-0.03	14%	18 Jul →
inferno	10–13	0.07	18%	18 Jul →
dust2	3–13	0.04	23%	18 Jul →
mirage	9–13	-0.08	15%	18 Jul →
dust2	13–9	0.05	29%	16 Jul →
ancient	13–4	0.09	11%	16 Jul →
dust2	13–8	-0.03	20%	16 Jul →
mirage	13–8	0.06	14%	16 Jul →
mirage	13–11	0.01	24%	15 Jul →
dust2	13–6	-0.06	18%	15 Jul →
anubis	13–10	0.02	18%	15 Jul →
cache	8–13	0.03	25%	13 Jul →
ancient	13–11	0.05	10%	13 Jul →
mirage	16–14	0.01	14%	13 Jul →
dust2	0–13	-0.09	0%	12 Jul →
nuke	15–15	0.03	26%	12 Jul →
mirage	13–0	0.00	0%	12 Jul →
inferno	8–13	0.04	24%	12 Jul →
mirage	9–13	-0.02	16%	12 Jul →
ancient	13–10	0.02	15%	12 Jul →
dust2	3–13	-0.08	17%	12 Jul →
inferno	7–13	-0.01	18%	11 Jul →
cache	5–13	-0.04	21%	11 Jul →
dust2	13–8	0.02	29%	11 Jul →
ancient	13–5	-0.04	13%	11 Jul →
mirage	13–6	0.04	11%	10 Jul →
nuke	13–8	0.03	31%	10 Jul →
mirage	14–16	-0.00	17%	10 Jul →
inferno	6–13	0.06	32%	10 Jul →
dust2	13–9	-0.01	18%	10 Jul →
ancient	11–13	0.04	26%	10 Jul →
mirage	0–2	0.00	0%	30 Jun →
dust2	10–13	0.05	37%	30 Jun →
inferno	6–13	0.04	30%	23 Jun →
ancient	11–13	-0.01	26%	23 Jun →
dust2	13–5	0.01	27%	23 Jun →
dust2	4–13	-0.02	26%	21 Jun →
mirage	10–13	-0.04	20%	21 Jun →
dust2	13–4	0.00	28%	21 Jun →
mirage	11–5	0.01	22%	6 Jun →
inferno	16–12	0.04	22%	6 Jun →
anubis	4–13	-0.04	15%	4 Jun →
inferno	13–8	0.01	30%	4 Jun →
inferno	11–13	-0.02	16%	22 May →
dust2	16–13	-0.01	20%	22 May →
mirage	13–8	0.01	28%	22 May →
dust2	11–13	0.04	16%	22 May →
ancient	13–1	0.04	9%	20 May →
dust2	10–13	-0.02	20%	20 May →
mirage	16–14	0.07	20%	19 May →
mirage	13–11	0.03	22%	19 May →
inferno	7–13	0.00	15%	19 May →
mirage	13–9	0.03	23%	19 May →
dust2	13–4	0.05	22%	19 May →
inferno	13–11	-0.01	16%	16 May →
dust2	7–13	0.02	29%	16 May →
ancient	13–11	0.00	25%	15 May →
nuke	8–13	0.02	15%	15 May →
overpass	1–13	-0.07	16%	15 May →
ancient	10–13	-0.06	20%	15 May →
inferno	13–10	0.09	30%	15 May →
inferno	11–13	-0.01	12%	15 May →
dust2	13–7	0.00	31%	14 May →
dust2	16–13	0.04	16%	29 Apr →
nuke	13–6	0.06	18%	28 Apr →
dust2	8–13	0.02	15%	28 Apr →
ancient	15–15	0.01	26%	28 Apr →
ancient	13–7	0.05	12%	28 Apr →
inferno	13–10	0.08	15%	27 Apr →
dust2	13–9	0.02	14%	26 Apr →
inferno	13–9	0.01	19%	26 Apr →
mirage	13–7	0.03	16%	26 Apr →
dust2	5–13	0.07	26%	26 Apr →
dust2	6–13	0.03	25%	26 Apr →
mirage	13–10	0.05	21%	26 Apr →
dust2	13–11	0.08	27%	26 Apr →