MMC[M@ng3M€sCou!//es] — CS2 Stats

76561199237635835[U:1:1277370107]Steam profile ↗✓ No bans

179Tracked matches39%Win rate2026Tracked since

1,875Hours in CS15Hrs last 2 wks

CSDB Rating2.5 LearningSupport

CSDB Leaderboard#205361 of 261537 tracked

Ladder ranks via Leetify

Rating over time

Premier CS Rating: 4,793 +1,208 10 Jun – 1 Jul · 4 days played

4,793Peak Premier in tracked matches

51Days played since 2026-03-22

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim15

Positioning38

Utility53

0–100 skill scores via Leetify.

Recent form

STEADY47–48–5Last 10047%Win rateWLLLLLWLWW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · −0.1pp headshot accuracy · +26ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

1–4 · 20% win rate
Avg rating -0.05
Avg headshot accuracy 8%
Avg reaction 650ms

Last 10

4–6 · 40% win rate
Avg rating -0.03
Avg headshot accuracy 7%
Avg reaction 632ms

Last 20

7–11–2 · 35% win rate
Avg rating -0.04
Avg headshot accuracy 7%
Avg reaction 619ms

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 (+2.3 against its own average).

Aim1.5

Utility5.3

Positioning3.8

Opening Duels0.0

Limited utility dependence

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

Plays most like Twistzz 51% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Reaction time. 632ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 59% 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

Aim1.5

Positioning3.8

Utility5.3

Mechanics2.0

Opening Duels0.3

Win Impact1.4

Composite 2.5/10 (Learning), 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-0.05+0.02

first ⅓ avg -0.06 → last ⅓ avg -0.05

Reaction time630ms−26ms

first ⅓ avg 656ms → last ⅓ avg 630ms

Headshot accuracy6.8%−1.9%

first ⅓ avg 8.7% → last ⅓ avg 6.8%

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

0.05Best match rating · 13–5 · mirage, 17 Jun →

28%Best headshot accuracy · 13–3 · inferno, 21 Apr →

375msFastest reaction time · 2–13 · dust2, 14 Aug →

13–1Biggest win · dust2, 5 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak

5–6In matches decided by ≤2 rounds

2Overtime games

Map breakdown

nukeBest map · 63% over 8cacheWeakest map · 33% over 12

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	25	11–14	44%	-0.06
mirage	B	17	8–9	47%	-0.06
cache	D	12	4–8	33%	-0.04
inferno	C	11	4–7	36%	-0.05
anubis	A	9	5–4	56%	-0.05
nuke	A	8	5–3	63%	-0.03
vertigo	A	7	4–3	57%	-0.08
train	—	4	3–1	75%	-0.06
office	—	4	2–2	50%	-0.05
ancient	—	2	1–1	50%	-0.05
debris	—	1	0–1	0%	-0.08

Across the last 100 tracked matches.

Lifetime stats

48,708Lifetime kills

0.87K/D

5,116Matches

49.5%Match win rate · Top 25% of tracked players

23.5%Headshot %

9.1%Shot accuracy

3,052MVPs

1,323Hours (in match)

421Bombs planted

279Bombs defused

Most-used weapons

M4A4 / M4A1-S27,363

SCAR-204,435

P2000 / USP-S4,078

Galil AR2,295

AUG1,679

AK-471,612

AWP1,549

SG 5531,153

Molotov1,086

HE Grenade846

Lifetime map wins

18,662dust2

1,889inferno

852vertigo

579nuke

261office

224train

199italy

12lake

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

6.9%Headshot accuracy

27.1%Accuracy (enemy spotted)

29.4%Spray accuracy

59.0%Counter-strafing

12.0°Preaim

632msReaction time

31.6%T opening success

30.8%CT opening success

0.65Enemies flashed / flash

3.1%Flash assists

11.70HE damage / grenade

4.79Flashes / 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.

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 6.8888% — below the 15% mark we flag
Aim Training →
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 31.5936% — 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.

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–3	-0.05	12%	22 Oct →
cache	10–13	-0.06	12%	22 Oct →
dust2	5–13	-0.01	6%	9 Oct →
anubis	3–13	-0.01	5%	9 Oct →
mirage	10–13	-0.11	4%	5 Oct →
mirage	3–13	-0.04	7%	5 Oct →
dust2	13–1	-0.05	6%	5 Oct →
inferno	14–16	-0.01	5%	3 Oct →
anubis	13–9	0.02	8%	3 Oct →
mirage	13–5	0.01	8%	26 Sept →
cache	12–12	-0.02	11%	26 Sept →
vertigo	4–13	-0.10	7%	23 Sept →
vertigo	5–13	-0.11	4%	23 Sept →
dust2	11–13	0.02	7%	20 Sept →
ancient	13–3	-0.04	6%	19 Sept →
cache	11–13	-0.03	11%	19 Sept →
dust2	9–13	-0.09	4%	19 Sept →
cache	12–12	0.01	6%	18 Sept →
mirage	13–8	-0.02	11%	18 Sept →
vertigo	13–3	-0.03	5%	8 Sept →
anubis	13–9	-0.03	6%	8 Sept →
dust2	7–13	-0.07	4%	2 Sept →
cache	4–13	-0.09	5%	27 Aug →
cache	13–6	-0.02	0%	27 Aug →
cache	9–5	-0.02	5%	27 Aug →
nuke	13–9	-0.00	5%	24 Aug →
dust2	10–13	-0.08	10%	24 Aug →
mirage	4–13	-0.13	5%	14 Aug →
inferno	10–13	-0.07	11%	14 Aug →
dust2	2–13	-0.11	7%	14 Aug →
dust2	2–13	-0.13	9%	13 Aug →
vertigo	13–5	-0.04	8%	13 Aug →
ancient	0–13	-0.06	6%	13 Aug →
train	13–4	-0.06	9%	12 Aug →
train	13–9	-0.05	6%	7 Aug →
debris	7–9	-0.08	10%	7 Aug →
train	12–12	-0.06	8%	7 Aug →
dust2	8–13	0.01	12%	3 Aug →
dust2	13–10	-0.01	15%	3 Aug →
anubis	7–13	-0.06	6%	10 Jul →
nuke	13–3	0.03	9%	1 Jul →
dust2	13–7	-0.05	10%	1 Jul →
mirage	13–5	0.05	8%	17 Jun →
dust2	16–13	-0.03	8%	16 Jun →
inferno	12–12	-0.05	18%	10 Jun →
mirage	10–13	-0.02	7%	10 Jun →
mirage	13–5	-0.03	8%	10 Jun →
nuke	13–11	-0.07	4%	9 Jun →
nuke	11–13	-0.04	4%	31 May →
dust2	13–5	-0.00	6%	31 May →
anubis	8–13	-0.11	7%	18 May →
dust2	1–13	-0.09	9%	17 May →
inferno	11–13	-0.07	5%	17 May →
dust2	9–13	-0.04	7%	16 May →
dust2	13–4	-0.04	12%	15 May →
inferno	13–10	-0.06	4%	15 May →
mirage	9–13	-0.07	5%	15 May →
dust2	13–8	-0.08	10%	14 May →
mirage	13–11	-0.08	18%	13 May →
cache	3–13	-0.05	7%	12 May →
vertigo	3–13	-0.11	20%	10 May →
inferno	3–13	0.01	14%	10 May →
nuke	13–11	-0.08	8%	10 May →
inferno	12–12	-0.14	14%	9 May →
cache	13–7	-0.06	6%	9 May →
dust2	9–13	-0.08	5%	8 May →
cache	9–13	-0.05	2%	8 May →
mirage	5–13	-0.05	11%	7 May →
cache	7–13	-0.10	9%	4 May →
dust2	13–8	-0.05	12%	25 Apr →
mirage	13–11	-0.14	0%	21 Apr →
inferno	13–3	-0.06	28%	21 Apr →
office	7–13	-0.09	3%	20 Apr →
anubis	13–9	-0.06	9%	19 Apr →
mirage	1–13	-0.09	18%	19 Apr →
dust2	10–13	-0.06	6%	18 Apr →
mirage	7–13	-0.05	11%	18 Apr →
office	8–13	-0.08	10%	17 Apr →
nuke	8–13	-0.06	6%	17 Apr →
office	13–4	0.01	10%	17 Apr →
anubis	13–9	-0.06	27%	9 Apr →
mirage	13–8	-0.08	12%	9 Apr →
mirage	10–13	-0.06	14%	6 Apr →
dust2	13–6	-0.10	3%	6 Apr →
anubis	9–13	-0.06	2%	5 Apr →
nuke	8–13	-0.00	5%	30 Mar →
vertigo	13–7	-0.09	9%	30 Mar →
dust2	4–13	-0.12	11%	30 Mar →
train	13–7	-0.05	4%	29 Mar →
inferno	13–7	-0.01	2%	29 Mar →
dust2	7–13	-0.08	5%	28 Mar →
anubis	13–4	-0.08	7%	28 Mar →
inferno	6–13	-0.03	3%	28 Mar →
nuke	13–3	-0.04	10%	28 Mar →
mirage	13–11	-0.08	3%	28 Mar →
dust2	13–8	-0.08	6%	28 Mar →
inferno	13–5	-0.08	11%	24 Mar →
vertigo	13–6	-0.06	4%	24 Mar →
dust2	13–6	-0.01	8%	22 Mar →
office	13–10	-0.06	6%	22 Mar →