MILLION DOLLAR DIET COKE — CS2 Stats

RS76561198124274404[U:1:164008676]Steam profile ↗✓ No bans

730Tracked matches48%Win rate2020Tracked since

950Hours in CS

CSDB Rating5.7 SolidPositional Player

Ladder ranks via Leetify

Performance scores

Aim73

Positioning59

Utility30

0–100 skill scores via Leetify.

Recent form

STEADY42–54–4Last 10042%Win rateLWWLLWWWWL

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating · +4.5pp headshot accuracy · −86ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

2–3 · 40% win rate
Avg rating 0.03
Avg headshot accuracy 26%
Avg reaction 487ms

Last 10

6–4 · 60% win rate
Avg rating -0.01
Avg headshot accuracy 24%
Avg reaction 526ms

Last 20

9–10–1 · 45% win rate
Avg rating -0.02
Avg headshot accuracy 22%
Avg reaction 569ms

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: Positional Player — Positioning stands above the rest of this profile (+1.3 against its own average).

Aim7.3

Utility3.0

Positioning5.9

Opening Duels5.0

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 donk 91% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile; 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

Areas to improve

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

Reaction time. 584ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim7.3

Positioning5.9

Utility3.0

Mechanics7.0

Opening Duels4.0

Win Impact4.4

Composite 5.7/10 (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-0.02−0.03

first ⅓ avg 0.01 → last ⅓ avg -0.02

Reaction time593ms+3ms

first ⅓ avg 589ms → last ⅓ avg 593ms

Headshot accuracy20.1%−1.1%

first ⅓ avg 21.2% → last ⅓ avg 20.1%

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.

Personal bests

0.18Best match rating · 13–3 · office, 1 Feb →

44%Best headshot accuracy · 10–13 · office, 15 Jan →

406msFastest reaction time · 13–1 · office, 23 Sept →

13–1Biggest win · office, 23 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak

8–2In matches decided by ≤2 rounds

Map breakdown

Strongest and weakest map need 5+ matches on two different maps — 1 of 11 maps qualify so far.

Map	Grade	Played	Record	Win rate	Avg rating
office	B	84	39–45	46%	0.02
inferno	—	3	0–3	0%	-0.01
cache	—	3	1–2	33%	-0.04
nuke	—	2	0–2	0%	-0.12
dust2	—	2	1–1	50%	-0.02
shelter	—	1	0–1	0%	-0.08
poseidon	—	1	0–1	0%	-0.14
mirage	—	1	0–1	0%	-0.08
alpine	—	1	0–1	0%	-0.02
palacio	—	1	1–0	100%	0.04
vertigo	—	1	0–1	0%	-0.07

Across the last 100 tracked matches.

Lifetime stats

73,397Lifetime kills

1.48K/D · Top 5% of tracked players

2,824Matches

44.9%Match win rate

50.2%Headshot % · Top 25% of tracked players

18.8%Shot accuracy · Top 10% of tracked players

7,298MVPs

950Hours (in match)

2,400Bombs planted

483Bombs defused

Most-used weapons

AK-4721,752

M4A4 / M4A1-S13,139

AWP6,742

P2000 / USP-S4,222

Desert Eagle3,254

Glock-182,673

P902,409

SSG 081,235

Galil AR1,213

FAMAS1,165

Lifetime map wins

4,762dust2

3,947office

2,144inferno

852nuke

609vertigo

474train

169cbble

130lake

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.

20.7%Headshot accuracy

33.9%Accuracy (enemy spotted)

36.2%Spray accuracy

81.3%Counter-strafing

9.6°Preaim

584msReaction time

42.6%T opening success

49.3%CT opening success

0.29Enemies flashed / flash

5.7%Flash assists

9.58HE damage / grenade

1.73Flashes / 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
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.2885 — below the 0.5 mark we flag
Grenade Lineups →

Recent matches

Map	Score	Rating	HS%	Date
office	8–13	0.02	33%	23 Sept →
office	13–1	0.13	15%	23 Sept →
office	13–11	0.10	29%	6 Aug →
office	3–13	-0.03	30%	6 Aug →
shelter	11–13	-0.08	24%	9 Jul →
office	13–10	0.03	15%	5 Jul →
office	13–2	-0.05	18%	4 Jul →
office	13–8	-0.06	29%	4 Jul →
office	13–11	0.01	25%	26 Jun →
poseidon	6–9	-0.14	20%	25 Jun →
inferno	6–9	0.02	21%	25 Jun →
nuke	5–9	-0.13	0%	25 Jun →
inferno	3–13	-0.04	21%	22 Jun →
office	13–11	-0.02	20%	22 Jun →
office	2–13	-0.05	19%	14 Jun →
mirage	2–13	-0.08	7%	12 Jun →
office	13–10	0.04	23%	12 Jun →
office	12–12	-0.00	19%	28 May →
cache	1–13	-0.07	37%	17 May →
office	13–5	0.02	25%	17 May →
office	9–13	0.04	7%	17 May →
cache	7–13	-0.03	9%	3 May →
cache	13–9	-0.03	13%	28 Apr →
office	13–1	0.02	42%	28 Apr →
office	2–13	-0.02	6%	28 Apr →
office	13–6	-0.01	27%	6 Apr →
office	9–13	0.01	15%	26 Feb →
office	8–13	-0.00	25%	24 Feb →
office	13–6	-0.04	23%	12 Feb →
office	13–9	0.04	24%	12 Feb →
nuke	6–13	-0.10	7%	2 Feb →
office	8–13	-0.06	19%	2 Feb →
office	8–13	-0.02	18%	1 Feb →
office	13–3	0.18	27%	1 Feb →
office	6–13	-0.02	13%	26 Jan →
office	13–9	0.10	14%	26 Jan →
office	4–13	-0.04	13%	24 Jan →
office	13–9	0.06	22%	23 Jan →
alpine	3–13	-0.02	17%	23 Jan →
office	13–8	0.05	18%	21 Jan →
office	13–8	0.02	16%	15 Jan →
office	10–13	-0.04	44%	15 Jan →
office	13–5	0.05	10%	14 Jan →
inferno	8–13	-0.01	14%	14 Jan →
office	7–13	-0.04	10%	14 Jan →
office	13–10	0.03	17%	11 Jan →
office	7–13	0.10	25%	10 Jan →
office	3–13	-0.06	11%	10 Jan →
office	13–8	0.06	30%	9 Jan →
office	13–9	0.09	14%	9 Jan →
office	8–13	-0.02	7%	6 Jan →
office	3–13	0.02	19%	6 Jan →
office	7–13	0.02	23%	6 Jan →
office	13–1	0.16	22%	6 Jan →
office	13–11	0.01	21%	6 Jan →
office	13–10	0.08	17%	5 Jan →
office	7–13	0.02	14%	4 Jan →
office	8–13	-0.01	35%	4 Jan →
office	10–13	-0.05	15%	31 Dec →
office	13–11	0.03	23%	31 Dec →
office	3–13	-0.00	30%	31 Dec →
office	6–13	0.02	19%	30 Dec →
office	8–13	-0.07	20%	28 Dec →
office	13–8	0.00	17%	28 Dec →
office	7–13	0.08	13%	28 Dec →
office	8–13	0.05	25%	25 Dec →
office	8–13	0.04	33%	25 Dec →
office	4–13	-0.08	17%	24 Dec →
dust2	13–8	-0.03	18%	23 Dec →
palacio	13–11	0.04	21%	23 Dec →
dust2	4–13	-0.01	13%	23 Dec →
office	6–13	-0.06	14%	23 Dec →
vertigo	1–9	-0.07	13%	22 Dec →
office	9–13	0.08	37%	21 Dec →
office	13–10	-0.02	12%	21 Dec →
office	13–10	-0.00	16%	20 Dec →
office	11–13	0.03	22%	19 Dec →
office	9–13	0.03	25%	18 Dec →
office	4–13	-0.10	21%	18 Dec →
office	13–2	0.02	25%	17 Dec →
office	8–13	-0.06	25%	17 Dec →
office	13–6	0.05	23%	15 Dec →
office	13–9	-0.01	17%	15 Dec →
office	0–9	-0.04	14%	15 Dec →
office	8–13	-0.05	28%	10 Dec →
office	13–7	0.02	19%	8 Dec →
office	13–11	-0.01	18%	8 Dec →
office	13–4	0.10	21%	6 Dec →
office	13–11	0.08	23%	5 Dec →
office	6–13	-0.04	20%	4 Dec →
office	9–13	0.04	29%	26 Nov →
office	12–12	0.03	31%	26 Nov →
office	13–1	0.15	27%	26 Nov →
office	12–12	0.03	25%	10 Nov →
office	10–13	0.04	23%	10 Nov →
office	13–1	0.13	23%	9 Nov →
office	13–9	0.04	35%	9 Nov →
office	7–13	-0.01	10%	5 Nov →
office	4–13	-0.04	15%	3 Nov →
office	12–12	0.06	22%	2 Nov →