Talk.Rock. — CS2 Stats

US76561198272884909[U:1:312619181]Steam profile ↗1 game ban

923Tracked matches36%Win rate2020Tracked since

835Hours in CS

CSDB Rating4.4 Developing

WingmanGold Nova I

Ladder ranks via Leetify

Performance scores

Aim56

Positioning47

Utility31

0–100 skill scores via Leetify.

Recent form

STEADY39–55–6Last 10039%Win rateWLWLLWLLWL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating

Player DNA

Aim5.6

Aggression4.7

Utility3.1

Positioning4.7

Opening Duels1.1

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 NiKo 81% playstyle similarity

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

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

T-side openings. Opening success drops from 44% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 626ms 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

Aim5.6

Positioning4.7

Utility3.1

Mechanics7.5

Opening Duels1.7

Win Impact0.2

Composite 4.4/10 (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 rating-0.03−0.02

first ⅓ avg -0.01 → last ⅓ avg -0.03

Reaction time622ms+29ms

first ⅓ avg 593ms → last ⅓ avg 622ms

Headshot accuracy11.1%−1.9%

first ⅓ avg 13.0% → last ⅓ avg 11.1%

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.

Highlights

0.11Best rating — mirage 13–7

13–2Biggest win — inferno

6Longest win streak

4–7In matches decided by ≤2 rounds

6Overtime games

Map breakdown

nukeBest map · 64% over 11dust2Weakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
inferno	D	26	8–18	31%	-0.04
mirage	B	22	11–11	50%	-0.01
ancient	D	18	6–12	33%	-0.01
nuke	A	11	7–4	64%	-0.01
train	C	7	3–4	43%	-0.01
dust2	D	6	1–5	17%	-0.04
cache	—	3	1–2	33%	0.03
office	—	2	0–2	0%	-0.01
vertigo	—	2	1–1	50%	-0.01
anubis	—	2	1–1	50%	-0.01
overpass	—	1	0–1	0%	-0.10

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

41,020Lifetime kills

0.96K/D

2,349Matches

43.1%Match win rate

32.0%Headshot %

17.9%Shot accuracy · Top 25% of tracked players

5,387MVPs

835Hours (in match)

3,162Bombs planted

520Bombs defused

Most-used weapons

AK-479,092

M4A4 / M4A1-S7,523

AWP4,201

P2000 / USP-S2,638

Glock-181,946

MP91,746

Desert Eagle1,708

MAC-101,577

FAMAS1,464

P901,027

Lifetime map wins

2,566inferno

2,166dust2

1,245nuke

970vertigo

455train

260lake

162office

58cbble

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.

11.7%Headshot accuracy

34.0%Accuracy (enemy spotted)

36.6%Spray accuracy

83.7%Counter-strafing

11.1°Preaim

626msReaction time

24.8%T opening success

43.7%CT opening success

0.40Enemies flashed / flash

3.8%Flash assists

12.33HE damage / grenade

2.02Flashes / 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 11.6671% — 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 0.4048 — below the 0.5 mark we flag
Grenade Lineups →
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 24.8101% — 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.

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