wms — CS2 Stats

SE76561198118803505[U:1:158537777]Steam profile ↗✓ No bans

1,152Tracked matches53%Win rate2020Tracked since

2,216Hours in CS

CSDB Rating5.2 DevelopingPositional Player

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Sep 2026 (14 days ago). Ranks are recorded once per day this page is viewed.

+6Tracked matches · now 1,152

0.0ppWin rate · 53.3% → 53.3%

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 46 days played since 6 Feb 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 16,504 -1,375 6 Feb – 3 Jul · 23 days played

19,708Peak Premier in tracked matches

46Days played since 2026-02-06

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Performance scores

Aim59

Positioning59

Utility40

0–100 skill scores via Leetify.

Recent form

STEADY49–48–3Last 10049%Win rateLLWWLWLLWL

Last 10 vs previous 10: −10pp win rate · −0.03 avg rating · +0.9pp headshot accuracy · −45ms 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

2–3 · 40% win rate
Avg rating -0.02
Avg headshot accuracy 22%
Avg reaction 605ms

Last 10

4–6 · 40% win rate
Avg rating -0.01
Avg headshot accuracy 22%
Avg reaction 579ms

Last 20

9–11 · 45% win rate
Avg rating 0.00
Avg headshot accuracy 21%
Avg reaction 601ms

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 (+1.7 against its own average).

Aim5.9

Utility4.0

Positioning5.9

Opening Duels4.1

Clutch2.8

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 ZywOo 83% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 579ms 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

Aim5.9

Positioning5.9

Utility4.0

Mechanics4.8

Opening Duels3.4

Win Impact6.1

Composite 5.2/10 (Developing), 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 rating0.01+0.02

first ⅓ avg -0.00 → last ⅓ avg 0.01

Reaction time587ms−32ms

first ⅓ avg 619ms → last ⅓ avg 587ms

Headshot accuracy20.8%+1.5%

first ⅓ avg 19.3% → last ⅓ avg 20.8%

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

0.16Best match rating · 13–6 · inferno, 13 May →

67%Best headshot accuracy · 2–0 · cache, 20 Jul →

375msFastest reaction time · 0–13 · inferno, 21 Jul →

13–0Biggest win · anubis, 6 Mar →

Across the last 100 tracked matches.

Highlights

7Longest win streak

L2Current streak

9–8In matches decided by ≤2 rounds

15Overtime games

Map breakdown

overpassBest map · 60% over 5mirageWeakest map · 42% over 12

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	28	14–14	50%	-0.01
nuke	B	12	6–6	50%	-0.00
mirage	C	12	5–7	42%	0.02
dust2	C	12	5–7	42%	-0.01
ancient	A	11	6–5	55%	0.03
anubis	B	10	5–5	50%	0.00
cache	B	6	3–3	50%	0.04
overpass	A	5	3–2	60%	0.01
train	—	3	2–1	67%	0.02
vertigo	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

97,846Lifetime kills

0.93K/D

4,263Matches

46.3%Match win rate · Top 50% of tracked players

51.6%Headshot % · Top 25% of tracked players

14.6%Shot accuracy · Top 50% of tracked players

10,105MVPs

2,216Hours (in match)

4,388Bombs planted

792Bombs defused

Most-used weapons

AK-4730,829

M4A4 / M4A1-S17,210

AWP8,933

P2000 / USP-S6,303

Desert Eagle5,968

Glock-184,178

FAMAS3,005

Galil AR2,639

P2502,216

P902,088

Lifetime map wins

11,564inferno

5,032dust2

2,577nuke

1,855train

738vertigo

622cbble

48office

23dust

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

Faceit stats

Combat

244Matches

50%Win rate

1.03Avg K/D

78.8ADR

48%Headshot %

Clutches & streaks

34%1v1 clutch win

16%1v2 clutch win

9Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	58	52%	1.11	16.7
Inferno	38	45%	0.99	15.0
Mirage	31	45%	0.94	14.2
Dust2	22	55%	1.03	14.9
Ancient	20	45%	1.06	14.6
Train	16	56%	1.27	14.3
Nuke	8	38%	1.10	18.0
Overpass	4	75%	1.15	17.5

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.

19.7%Headshot accuracy

32.4%Accuracy (enemy spotted)

37.2%Spray accuracy

71.5%Counter-strafing

11.3°Preaim

579msReaction time

40.0%T opening success

47.1%CT opening success

0.43Enemies flashed / flash

2.8%Flash assists

8.89HE 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.

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 0.4263 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Mirage

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	5–13	-0.04	14%	17 Sept →
mirage	10–13	-0.03	26%	13 Sept →
inferno	13–8	-0.02	28%	13 Sept →
dust2	13–7	0.02	30%	12 Sept →
cache	6–13	-0.02	13%	12 Sept →
overpass	16–14	0.01	24%	12 Sept →
cache	11–13	0.02	20%	4 Sept →
vertigo	14–16	0.01	22%	3 Sept →
inferno	13–10	-0.01	30%	5 Aug →
dust2	4–13	-0.07	12%	31 Jul →
dust2	13–8	-0.01	12%	31 Jul →
ancient	7–13	0.01	12%	27 Jul →
ancient	4–13	-0.01	10%	22 Jul →
inferno	6–13	-0.00	21%	22 Jul →
cache	8–13	0.02	12%	22 Jul →
anubis	13–10	-0.01	26%	22 Jul →
inferno	0–13	-0.08	0%	21 Jul →
nuke	13–9	0.04	21%	20 Jul →
ancient	13–1	0.12	27%	20 Jul →
cache	2–0	0.09	67%	20 Jul →
inferno	16–14	-0.06	19%	17 Jul →
cache	13–7	0.02	15%	11 Jul →
train	16–14	0.06	18%	11 Jul →
train	13–11	0.02	16%	4 Jul →
inferno	5–13	-0.05	31%	3 Jul →
train	9–13	-0.03	14%	3 Jul →
mirage	13–4	-0.02	13%	3 Jul →
nuke	9–1	0.07	30%	3 Jul →
dust2	14–16	0.06	24%	2 Jul →
mirage	13–2	0.06	17%	2 Jul →
ancient	16–14	0.09	18%	30 Jun →
inferno	13–2	0.04	22%	30 Jun →
cache	8–0	0.13	23%	30 Jun →
mirage	11–13	0.04	23%	26 Jun →
mirage	5–13	-0.00	21%	16 Jun →
mirage	10–13	0.04	18%	16 Jun →
mirage	7–13	0.01	15%	16 Jun →
inferno	10–13	-0.03	25%	14 May →
dust2	13–10	-0.06	24%	14 May →
overpass	9–13	0.10	26%	13 May →
inferno	13–6	0.16	29%	13 May →
ancient	3–13	-0.07	23%	13 May →
anubis	13–6	0.03	23%	13 May →
anubis	7–13	-0.02	25%	8 May →
anubis	10–13	-0.02	15%	7 May →
inferno	15–15	-0.07	18%	6 May →
ancient	13–7	0.05	17%	6 May →
nuke	9–13	-0.02	23%	6 May →
inferno	11–13	0.03	45%	6 May →
nuke	15–15	0.01	23%	5 May →
mirage	13–10	0.03	15%	4 May →
ancient	16–14	-0.00	25%	4 May →
nuke	13–6	0.02	32%	4 May →
mirage	16–14	-0.01	17%	1 May →
nuke	9–13	-0.02	26%	1 May →
inferno	10–13	-0.01	26%	17 Apr →
inferno	7–13	-0.02	31%	14 Apr →
anubis	10–13	-0.03	26%	14 Apr →
anubis	12–16	0.01	22%	13 Apr →
dust2	11–13	0.08	16%	13 Apr →
nuke	4–13	-0.02	22%	9 Apr →
inferno	13–6	0.04	30%	27 Mar →
dust2	13–10	-0.00	13%	20 Mar →
inferno	13–1	0.02	6%	20 Mar →
inferno	13–16	0.01	25%	16 Mar →
nuke	13–9	-0.06	16%	16 Mar →
inferno	13–6	-0.04	25%	13 Mar →
ancient	13–10	0.11	22%	13 Mar →
inferno	9–13	-0.05	17%	9 Mar →
dust2	2–13	-0.06	14%	8 Mar →
anubis	10–13	0.01	13%	8 Mar →
inferno	11–13	0.00	16%	6 Mar →
inferno	13–9	-0.04	21%	6 Mar →
anubis	13–0	0.09	11%	6 Mar →
nuke	13–5	0.02	24%	6 Mar →
dust2	8–13	-0.08	25%	6 Mar →
mirage	13–6	0.06	13%	6 Mar →
overpass	13–8	-0.00	18%	24 Feb →
inferno	10–13	-0.02	23%	21 Feb →
inferno	13–16	-0.02	19%	16 Feb →
anubis	13–5	0.07	19%	16 Feb →
dust2	5–13	-0.01	18%	16 Feb →
inferno	13–8	0.09	28%	14 Feb →
inferno	13–2	-0.04	22%	13 Feb →
dust2	13–5	-0.01	20%	13 Feb →
ancient	9–13	0.04	12%	13 Feb →
mirage	11–13	0.08	27%	10 Feb →
inferno	13–10	-0.03	9%	7 Feb →
nuke	7–13	-0.01	31%	7 Feb →
ancient	7–13	-0.04	23%	7 Feb →
overpass	13–9	-0.04	22%	7 Feb →
nuke	13–9	-0.05	17%	7 Feb →
inferno	13–11	-0.01	17%	7 Feb →
inferno	5–13	-0.05	4%	6 Feb →
mirage	15–15	-0.01	24%	6 Feb →
dust2	7–13	-0.01	29%	6 Feb →
anubis	13–9	-0.10	24%	6 Feb →
inferno	16–13	-0.05	21%	6 Feb →
overpass	9–13	-0.02	20%	6 Feb →
ancient	13–3	0.02	14%	6 Feb →