Mambo — CS2 Stats

US76561198133297825[U:1:173032097]Steam profile ↗✓ No bans

1,037Tracked matches31%Win rate2020Tracked since

3,244Hours in CS17Hrs last 2 wks

CSDB Rating6.1 SolidAggressive Rifler

Premier CS Rating21,460Pink band · top ~6.9% of ranked players (population est.)

CSDB Leaderboard#6547 of 18450 tracked

WingmanLegendary Eagle Master

Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=201), 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	Pink band median
Headshot rate	37.1%	48.1%
Shot accuracy	17.7%	12.9%
Kill/death ratio	1.25	1.08
Match win rate	45.5%	46.5%

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim91

Positioning57

Utility33

0–100 skill scores via Leetify.

Recent form

STEADY45–54–1Last 10045%Win rateTWWWWLLWLL

Last 10 vs previous 10: +40pp win rate · +0.01 avg rating

Player DNA

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

Aim9.1

Aggression8.1

Utility3.3

Positioning5.7

Opening Duels4.5

Clutch10.0

Sharp aimerLimited utility dependenceReliable in 1v1s

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 ropz 92% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: 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

Strengths

Aim. Aim score of 91 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

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

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

Aim9.1

Positioning5.7

Utility3.3

Mechanics7.6

Opening Duels4.5

Win Impact0.0

Composite 6.1/10 (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 rating0.04+0.01

first ⅓ avg 0.02 → last ⅓ avg 0.04

Reaction time535ms−57ms

first ⅓ avg 593ms → last ⅓ avg 535ms

Headshot accuracy23.1%+2.0%

first ⅓ avg 21.1% → last ⅓ avg 23.1%

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

0.16Best rating — dust2 13–4

13–0Biggest win — dust2

4Longest win streak

8–4In matches decided by ≤2 rounds

7Overtime games

Map breakdown

nukeBest map · 83% over 6ancientWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	37	20–17	54%	0.03
mirage	D	27	7–20	26%	-0.00
inferno	C	12	5–7	42%	0.01
cache	A	11	7–4	64%	0.06
nuke	S	6	5–1	83%	0.03
ancient	D	5	1–4	20%	0.05
anubis	—	2	0–2	0%	-0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

86,318Lifetime kills

1.25K/D · Top 25% of Pink band

4,103Matches

45.5%Match win rate

37.1%Headshot %

17.7%Shot accuracy · Top 25% of Pink band

10,828MVPs

1,681Hours (in match)

2,345Bombs planted

1,070Bombs defused

Most-used weapons

AK-4719,400

AWP19,253

M4A4 / M4A1-S12,353

P2000 / USP-S5,165

Glock-184,315

Desert Eagle4,281

SSG 082,273

Five-SeveN2,125

P2501,856

P901,825

Lifetime map wins

10,030dust2

4,367inferno

2,180nuke

793vertigo

770train

372cbble

269office

223lake

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

Faceit stats

Combat

60Matches

48%Win rate

1.19Avg K/D

97.5ADR

31%Headshot %

Clutches & streaks

75%1v1 clutch win

50%1v2 clutch win

5Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Cache	2	0%	1.35	24.0
Inferno	1	0%	0.50	8.0

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.

23.4%Headshot accuracy

40.8%Accuracy (enemy spotted)

41.0%Spray accuracy

84.2%Counter-strafing

8.9°Preaim

536msReaction time

42.0%T opening success

53.8%CT opening success

0.61Enemies flashed / flash

2.0%Flash assists

7.49HE damage / grenade

3.71Flashes / 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.

Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.7101 — below the 4 mark we flag
Grenade Lineups →

Spend your practice time on Ancient

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.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	15–15	0.02	32%	28 Aug →
inferno	13–2	0.09	17%	28 Aug →
dust2	13–6	0.09	43%	27 Aug →
dust2	13–10	-0.06	10%	25 Aug →
dust2	13–5	0.09	23%	25 Aug →
inferno	11–13	-0.03	22%	25 Aug →
dust2	8–13	0.05	21%	25 Aug →
ancient	13–4	0.15	27%	24 Aug →
dust2	10–13	0.06	17%	21 Aug →
dust2	9–13	-0.01	15%	21 Aug →
dust2	3–13	0.04	29%	21 Aug →
ancient	7–13	0.05	22%	20 Aug →
cache	9–13	0.04	29%	20 Aug →
mirage	5–13	0.06	27%	18 Aug →
dust2	4–13	-0.01	36%	18 Aug →
inferno	6–13	-0.03	23%	17 Aug →
mirage	11–13	0.07	32%	17 Aug →
dust2	13–9	0.09	34%	17 Aug →
dust2	6–13	0.10	23%	17 Aug →
mirage	6–13	-0.02	23%	16 Aug →
inferno	10–13	0.03	21%	16 Aug →
nuke	13–10	0.12	22%	15 Aug →
mirage	10–13	0.05	13%	15 Aug →
dust2	13–9	0.03	18%	14 Aug →
dust2	8–13	0.01	20%	14 Aug →
dust2	6–13	-0.04	21%	14 Aug →
mirage	8–13	-0.06	22%	13 Aug →
mirage	8–13	-0.01	27%	13 Aug →
cache	13–2	0.10	26%	13 Aug →
mirage	5–13	-0.06	10%	13 Aug →
dust2	13–8	0.02	22%	13 Aug →
cache	13–11	0.04	21%	13 Aug →
dust2	13–0	0.11	16%	13 Aug →
ancient	10–13	-0.01	16%	12 Aug →
dust2	6–13	-0.00	21%	12 Aug →
dust2	6–13	-0.05	31%	12 Aug →
mirage	6–13	-0.04	23%	12 Aug →
mirage	1–13	-0.08	6%	12 Aug →
dust2	13–11	0.08	15%	12 Aug →
mirage	8–13	0.00	12%	12 Aug →
dust2	13–9	0.04	34%	11 Aug →
dust2	5–13	-0.05	15%	10 Aug →
dust2	13–8	0.08	39%	10 Aug →
dust2	7–13	-0.03	34%	30 Jul →
nuke	13–8	-0.02	20%	30 Jul →
nuke	7–13	0.03	23%	30 Jul →
dust2	8–13	-0.01	20%	29 Jul →
mirage	13–10	0.01	26%	29 Jul →
dust2	13–5	0.04	13%	29 Jul →
dust2	13–5	0.02	25%	29 Jul →
cache	16–13	0.05	22%	29 Jul →
ancient	8–13	0.05	19%	29 Jul →
dust2	9–13	0.05	19%	29 Jul →
mirage	13–9	0.13	18%	29 Jul →
dust2	13–11	0.02	18%	28 Jul →
mirage	9–13	-0.04	20%	28 Jul →
inferno	13–11	-0.00	23%	28 Jul →
ancient	3–13	-0.01	12%	27 Jul →
nuke	16–13	-0.02	15%	27 Jul →
dust2	13–5	0.05	45%	27 Jul →
mirage	8–13	-0.04	9%	26 Jul →
cache	10–13	0.00	21%	26 Jul →
inferno	13–7	-0.00	16%	26 Jul →
mirage	13–8	-0.01	19%	25 Jul →
inferno	3–13	-0.05	14%	25 Jul →
mirage	16–14	0.04	16%	25 Jul →
nuke	16–14	0.04	24%	25 Jul →
cache	13–11	0.09	16%	25 Jul →
inferno	4–13	0.02	30%	25 Jul →
anubis	9–13	0.00	22%	25 Jul →
dust2	16–13	-0.06	16%	24 Jul →
cache	13–4	-0.00	15%	24 Jul →
dust2	13–8	-0.04	14%	24 Jul →
inferno	13–9	0.01	22%	23 Jul →
cache	3–13	0.11	24%	22 Jul →
inferno	13–11	0.09	16%	22 Jul →
mirage	4–13	-0.09	17%	21 Jul →
mirage	11–13	0.05	25%	20 Jul →
mirage	5–13	-0.00	30%	20 Jul →
cache	11–13	0.11	33%	20 Jul →
dust2	13–3	0.10	29%	20 Jul →
inferno	10–13	0.01	17%	16 Jul →
anubis	10–13	-0.01	18%	16 Jul →
mirage	9–13	-0.04	21%	14 Jul →
mirage	7–13	0.00	15%	14 Jul →
mirage	13–7	0.01	22%	14 Jul →
dust2	13–6	0.09	23%	14 Jul →
mirage	12–16	-0.06	18%	14 Jul →
dust2	13–4	0.16	31%	13 Jul →
mirage	13–7	0.02	11%	13 Jul →
dust2	5–13	0.03	18%	13 Jul →
dust2	2–13	-0.03	10%	13 Jul →
mirage	13–9	-0.01	23%	13 Jul →
nuke	13–7	0.01	28%	13 Jul →
dust2	7–13	0.01	24%	13 Jul →
mirage	8–13	-0.00	16%	12 Jul →
inferno	4–13	0.02	27%	12 Jul →
cache	13–10	0.04	22%	11 Jul →
dust2	13–8	0.04	26%	11 Jul →
cache	13–9	0.09	20%	10 Jul →