1946- — CS2 Stats

76561199004144906[U:1:1043879178]✓ No bans

811Tracked matches67%Win rate2020Tracked since

680Hours in CS

CSDB Rating4.5 Developing

WingmanGold Nova Master

Ladder ranks via Leetify

Performance scores

Aim52

Positioning48

Utility29

0–100 skill scores via Leetify.

Recent form

STEADY56–40–4Last 10056%Win rateLWWLWWWLLW

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

Player DNA

Aim5.2

Aggression8.5

Utility2.9

Positioning4.8

Opening Duels3.0

Clutch2.6

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 b1t 79% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower utility contribution; 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. 609ms 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

Aim5.2

Positioning4.8

Utility2.9

Mechanics5.2

Opening Duels3.0

Win Impact10.0

Composite 4.5/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.02

first ⅓ avg 0.00 → last ⅓ avg -0.02

Reaction time625ms−73ms

first ⅓ avg 698ms → last ⅓ avg 625ms

Headshot accuracy20.8%+1.8%

first ⅓ avg 19.1% → 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.

Highlights

0.15Best rating — overpass 13–3

13–2Biggest win — mirage

7Longest win streak

8–7In matches decided by ≤2 rounds

11Overtime games

Map breakdown

nukeBest map · 62% over 13dust2Weakest map · 25% over 12

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	32	19–13	59%	-0.02
inferno	B	17	9–8	53%	-0.05
nuke	A	13	8–5	62%	0.00
anubis	A	12	7–5	58%	-0.00
dust2	D	12	3–9	25%	-0.01
ancient	C	7	3–4	43%	-0.04
overpass	—	3	3–0	100%	0.05
cache	—	2	2–0	100%	0.03
office	—	1	1–0	100%	0.01
train	—	1	1–0	100%	0.00

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

30,088Lifetime kills

0.89K/D

1,630Matches

44.8%Match win rate

47.3%Headshot % · Top 50% of tracked players

8.5%Shot accuracy

3,363MVPs

680Hours (in match)

1,083Bombs planted

350Bombs defused

Most-used weapons

AK-479,896

M4A4 / M4A1-S5,756

AWP3,405

P2000 / USP-S1,938

Desert Eagle1,766

Glock-181,355

Galil AR921

MP9783

FAMAS662

MAC-10590

Lifetime map wins

3,532inferno

2,174dust2

1,351nuke

697vertigo

190office

147train

73cbble

15italy

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

Faceit stats

Combat

301Matches

51%Win rate

0.81Avg K/D

68.6ADR

48%Headshot %

Clutches & streaks

33%1v1 clutch win

14%1v2 clutch win

7Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	92	50%	0.78	13.2
Inferno	42	52%	0.75	12.3
Anubis	41	46%	0.89	14.0
Nuke	38	61%	0.97	14.1
Dust2	36	58%	0.77	13.3
Ancient	23	35%	0.86	13.9
Overpass	6	67%	0.78	13.3
Cache	6	50%	0.65	10.5

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.

22.3%Headshot accuracy

30.1%Accuracy (enemy spotted)

30.2%Spray accuracy

73.3%Counter-strafing

11.0°Preaim

609msReaction time

44.8%T opening success

39.6%CT opening success

0.32Enemies flashed / flash

3.2%Flash assists

7.85HE damage / grenade

6.43Flashes / 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 0.3165 — below the 0.5 mark we flag
Grenade Lineups →
Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 39.5505% — below the 40% mark we flag

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
nuke	6–13	-0.01	31%	6 Aug →
inferno	13–10	-0.02	17%	21 Jul →
mirage	16–14	-0.04	30%	18 Jul →
nuke	10–13	0.01	7%	18 Jul →
ancient	13–5	-0.05	12%	18 Jul →
mirage	13–6	0.02	23%	18 Jul →
cache	13–5	0.03	35%	18 Jul →
anubis	7–13	-0.10	0%	16 Jul →
mirage	7–13	0.00	18%	11 Jul →
mirage	16–14	-0.01	14%	9 Jul →
nuke	13–7	-0.04	19%	6 Jul →
inferno	13–8	-0.03	20%	5 Jul →
cache	13–10	0.03	33%	4 Jul →
dust2	5–13	-0.02	21%	4 Jul →
inferno	5–13	-0.13	5%	29 Jun →
mirage	13–6	-0.03	42%	29 Jun →
overpass	13–5	0.01	14%	25 Jun →
anubis	10–13	-0.02	14%	24 Jun →
anubis	13–9	0.05	30%	16 Jun →
inferno	13–9	-0.06	36%	10 Jun →
ancient	4–4	0.04	24%	8 Jun →
anubis	13–7	-0.02	18%	24 May →
inferno	13–6	0.05	29%	18 Apr →
office	13–8	0.01	25%	18 Apr →
ancient	9–2	-0.11	0%	18 Apr →
dust2	13–11	-0.01	60%	18 Apr →
inferno	13–10	-0.02	26%	13 Apr →
nuke	13–4	0.05	6%	10 Apr →
inferno	9–13	-0.04	24%	6 Apr →
mirage	10–13	-0.06	16%	3 Apr →
ancient	15–15	-0.04	5%	31 Mar →
nuke	13–7	-0.06	17%	31 Mar →
anubis	13–9	-0.01	17%	31 Mar →
mirage	7–13	-0.01	22%	31 Mar →
anubis	13–6	-0.01	8%	31 Mar →
inferno	16–12	-0.06	18%	28 Mar →
mirage	13–3	-0.04	17%	28 Mar →
mirage	13–4	-0.04	75%	28 Mar →
inferno	13–7	-0.02	24%	27 Mar →
mirage	0–4	-0.09	0%	25 Mar →
mirage	10–13	-0.09	21%	24 Mar →
inferno	13–7	-0.02	20%	24 Mar →
mirage	5–13	-0.05	38%	24 Mar →
nuke	10–13	-0.03	17%	24 Mar →
anubis	5–13	-0.01	19%	24 Mar →
mirage	13–9	-0.04	19%	24 Mar →
mirage	13–6	-0.04	25%	24 Mar →
nuke	13–3	0.03	19%	22 Mar →
mirage	9–13	0.06	11%	22 Mar →
inferno	7–13	-0.08	31%	21 Mar →
anubis	13–5	0.12	21%	21 Mar →
dust2	4–13	-0.06	30%	20 Mar →
anubis	13–4	-0.02	16%	20 Mar →
ancient	10–13	-0.08	17%	20 Mar →
nuke	13–3	-0.02	14%	20 Mar →
mirage	13–11	-0.05	23%	19 Mar →
nuke	13–11	0.01	17%	19 Mar →
mirage	13–6	-0.01	18%	19 Mar →
mirage	13–4	-0.02	10%	19 Mar →
anubis	5–13	-0.01	14%	16 Mar →
anubis	13–9	0.04	16%	14 Mar →
nuke	14–16	-0.01	20%	14 Mar →
mirage	6–13	-0.08	8%	14 Mar →
mirage	12–14	-0.05	38%	8 Mar →
ancient	13–5	-0.04	42%	3 Feb →
inferno	17–19	-0.10	10%	25 Sept →
inferno	7–13	-0.12	4%	20 Sept →
mirage	13–2	0.11	21%	2 Sept →
inferno	3–13	-0.10	17%	28 Aug →
mirage	16–13	0.09	22%	14 Aug →
mirage	11–13	-0.05	6%	13 Aug →
dust2	4–13	-0.03	16%	12 Aug →
mirage	13–10	-0.05	16%	10 Aug →
overpass	13–3	0.15	20%	10 Aug →
dust2	8–13	-0.03	14%	9 Aug →
train	13–11	0.00	9%	5 Aug →
dust2	13–3	0.08	14%	5 Aug →
nuke	13–8	0.07	21%	4 Aug →
inferno	13–5	0.03	25%	4 Aug →
mirage	5–13	-0.07	17%	4 Aug →
nuke	13–8	0.06	17%	3 Aug →
mirage	13–10	0.04	19%	1 Aug →
dust2	15–15	0.05	13%	31 Jul →
inferno	13–16	0.01	13%	31 Jul →
mirage	13–6	0.04	18%	29 Jul →
dust2	7–13	-0.00	24%	26 Jul →
overpass	13–8	-0.02	13%	26 Jul →
dust2	2–13	-0.05	25%	22 Jul →
dust2	13–5	-0.02	42%	15 Jul →
mirage	13–7	0.04	26%	15 Jul →
dust2	12–12	-0.03	20%	4 Jul →
mirage	5–13	-0.06	14%	4 Jul →
anubis	5–13	-0.03	20%	28 Jun →
inferno	15–15	-0.06	21%	27 Jun →
mirage	13–11	-0.05	22%	27 Jun →
nuke	11–13	-0.00	18%	26 Jun →
ancient	11–13	-0.03	18%	26 Jun →
mirage	2–13	-0.06	29%	26 Jun →
dust2	9–13	-0.03	19%	26 Jun →
mirage	13–11	0.08	21%	26 Jun →