meat — CS2 Stats

76561198859396688[U:1:899130960]

658Tracked matches43%Win rate2020Tracked since

842Hours in CS4Hrs last 2 wks

CSDB Rating4.7 Developing

WingmanSilver II

Ladder ranks via Leetify

Performance scores

Aim59

Positioning54

Utility40

0–100 skill scores via Leetify.

Recent form

COLD48–50–2Last 10048%Win rateLWLWLLLLLW

Last 10 vs previous 10: -20pp win rate · -0.04 avg rating

Player DNA

Aim5.9

Aggression7.4

Utility4.0

Positioning5.4

Opening Duels2.8

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 84% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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 →

CSDB Rating breakdown

Aim5.9

Positioning5.4

Utility4.0

Mechanics4.9

Opening Duels2.8

Win Impact2.8

Composite 4.7/10 (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 rating0.01−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time544ms−37ms

first ⅓ avg 581ms → last ⅓ avg 544ms

Headshot accuracy12.4%+2.5%

first ⅓ avg 9.9% → last ⅓ avg 12.4%

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 — inferno 13–8

13–0Biggest win — ancient

8Longest win streak

8–7In matches decided by ≤2 rounds

13Overtime games

Map breakdown

overpassBest map · 83% over 6dust2Weakest map · 25% over 12

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	23	13–10	57%	0.03
ancient	B	22	11–11	50%	0.02
anubis	B	13	7–6	54%	0.01
nuke	B	13	6–7	46%	0.01
dust2	D	12	3–9	25%	-0.00
mirage	D	10	3–7	30%	-0.01
overpass	S	6	5–1	83%	0.01
cache	—	1	0–1	0%	0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

17,971Lifetime kills

1.00K/D

1,019Matches

35.3%Match win rate

35.5%Headshot %

11.4%Shot accuracy

1,500MVPs

327Hours (in match)

510Bombs planted

202Bombs defused

Most-used weapons

AK-473,930

M4A4 / M4A1-S3,504

AWP3,233

P2000 / USP-S838

Glock-18823

MP7734

AUG660

MAC-10605

Desert Eagle403

Galil AR366

Lifetime map wins

1,811dust2

702nuke

700inferno

240train

49vertigo

17cbble

7office

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

Faceit stats

Combat

1Matches

0%Win rate

0.47Avg K/D

—ADR

44%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

0Longest win streak

Recent Faceit resultsLLLLL

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.

12.9%Headshot accuracy

36.9%Accuracy (enemy spotted)

43.1%Spray accuracy

72.2%Counter-strafing

12.9°Preaim

550msReaction time

35.1%T opening success

47.1%CT opening success

0.49Enemies flashed / flash

3.3%Flash assists

9.43HE damage / grenade

2.71Flashes / 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.

Advanced Mechanics
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.9432° — above the 12° mark we flag
Aim Training →
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 12.8819% — below the 15% mark we flag
Aim Training →
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 0.4901 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Dust 2

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

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–16	0.02	19%	20 Aug →
inferno	13–10	-0.04	10%	19 Aug →
ancient	8–13	-0.02	16%	19 Aug →
inferno	13–5	0.00	9%	18 Aug →
anubis	3–13	-0.05	13%	17 Aug →
ancient	1–13	-0.02	12%	17 Aug →
ancient	13–16	0.04	12%	31 Jul →
nuke	9–13	-0.01	19%	22 Jul →
ancient	10–13	0.01	6%	22 Jul →
inferno	13–10	-0.01	15%	1 May →
mirage	6–13	-0.00	16%	30 Apr →
overpass	13–9	-0.00	9%	30 Apr →
overpass	13–1	0.04	10%	24 Apr →
dust2	8–13	0.06	21%	20 Apr →
ancient	13–5	0.04	30%	20 Apr →
ancient	4–13	-0.02	10%	18 Apr →
anubis	9–13	0.00	14%	18 Apr →
inferno	5–9	-0.01	10%	18 Apr →
nuke	9–3	0.13	5%	18 Apr →
mirage	13–6	0.06	23%	18 Apr →
dust2	4–13	0.01	3%	17 Apr →
nuke	13–9	0.01	10%	17 Apr →
dust2	2–13	-0.08	5%	16 Apr →
ancient	8–13	0.04	16%	16 Apr →
nuke	11–3	-0.01	18%	16 Apr →
inferno	13–4	0.09	10%	16 Apr →
mirage	3–13	-0.02	12%	15 Apr →
ancient	1–10	-0.03	18%	15 Apr →
inferno	9–13	0.03	11%	14 Apr →
ancient	13–11	0.03	7%	14 Apr →
ancient	16–14	0.02	9%	14 Apr →
anubis	13–10	0.03	6%	9 Apr →
mirage	13–8	-0.02	9%	9 Apr →
inferno	13–8	-0.00	12%	9 Apr →
mirage	14–16	0.03	4%	8 Apr →
dust2	2–8	-0.07	0%	8 Apr →
anubis	14–16	0.05	5%	7 Apr →
inferno	9–13	-0.01	2%	7 Apr →
anubis	13–9	0.06	12%	7 Apr →
inferno	13–10	0.02	14%	6 Apr →
nuke	3–10	0.02	8%	5 Apr →
mirage	3–13	-0.01	4%	5 Apr →
anubis	13–9	-0.02	10%	5 Apr →
inferno	1–13	-0.08	16%	5 Apr →
dust2	4–13	-0.05	8%	3 Apr →
ancient	10–13	-0.02	13%	3 Apr →
overpass	13–10	-0.02	3%	2 Apr →
dust2	13–4	0.04	21%	2 Apr →
dust2	14–16	-0.00	16%	1 Apr →
ancient	13–7	0.11	19%	1 Apr →
ancient	13–8	0.02	7%	1 Apr →
anubis	4–13	-0.05	2%	1 Apr →
mirage	9–13	-0.02	15%	30 Mar →
mirage	4–13	-0.08	7%	30 Mar →
inferno	11–13	0.02	10%	29 Mar →
overpass	13–3	0.07	14%	29 Mar →
dust2	13–9	0.11	8%	29 Mar →
inferno	10–13	0.01	13%	28 Mar →
dust2	13–8	-0.03	19%	28 Mar →
nuke	14–16	0.05	12%	27 Mar →
inferno	16–14	0.13	14%	27 Mar →
overpass	13–9	-0.00	12%	26 Mar →
anubis	13–6	0.08	11%	26 Mar →
ancient	10–13	0.00	13%	26 Mar →
inferno	11–13	-0.03	3%	25 Mar →
dust2	6–13	0.08	13%	18 Mar →
nuke	15–15	0.02	12%	18 Mar →
anubis	9–13	0.00	3%	18 Mar →
inferno	13–9	0.00	8%	18 Mar →
anubis	13–11	0.09	8%	17 Mar →
ancient	13–0	0.08	20%	17 Mar →
dust2	3–13	-0.08	5%	15 Mar →
ancient	13–11	0.05	11%	15 Mar →
nuke	13–10	0.03	9%	15 Mar →
ancient	13–10	0.03	18%	15 Mar →
inferno	13–8	0.20	18%	15 Mar →
inferno	13–8	0.20	17%	15 Mar →
ancient	13–8	0.01	7%	15 Mar →
nuke	13–11	-0.02	4%	15 Mar →
anubis	13–9	-0.07	17%	14 Mar →
ancient	0–2	0.00	0%	14 Mar →
dust2	5–13	-0.00	13%	14 Mar →
overpass	6–13	-0.05	6%	13 Mar →
ancient	13–16	0.01	11%	13 Mar →
nuke	15–15	-0.02	9%	13 Mar →
mirage	13–7	0.01	5%	13 Mar →
nuke	13–11	0.01	10%	12 Mar →
ancient	13–6	0.03	11%	11 Mar →
inferno	6–13	-0.06	21%	10 Mar →
inferno	8–13	0.03	5%	6 Mar →
nuke	10–13	-0.01	8%	4 Mar →
inferno	6–13	-0.06	11%	4 Mar →
nuke	2–13	-0.09	3%	4 Mar →
mirage	5–13	-0.03	8%	4 Mar →
inferno	13–4	0.07	15%	3 Mar →
inferno	16–13	0.07	8%	3 Mar →
anubis	6–13	-0.01	11%	2 Mar →
inferno	13–6	0.17	13%	2 Mar →
anubis	16–14	0.02	7%	1 Mar →
ancient	13–8	-0.01	11%	1 Mar →