gotta have them ribs — CS2 Stats

US76561198087789300[U:1:127523572]Steam profile ↗✓ No bans

443Tracked matches47%Win rate2022Tracked since

1,078Hours in CS6Hrs last 2 wks

CSDB Rating4.4 Developing

WingmanGold Nova III

Ladder ranks via Leetify

Performance scores

Aim48

Positioning48

Utility26

0–100 skill scores via Leetify.

Recent form

STEADY40–50–10Last 10040%Win rateLWLLWWWWLL

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

Player DNA

Aim4.8

Aggression6.8

Utility2.6

Positioning4.8

Opening Duels3.0

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 80% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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. 636ms 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

Aim4.8

Positioning4.8

Utility2.6

Mechanics6.3

Opening Duels3.0

Win Impact3.9

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-0.02−0.00

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time637ms−31ms

first ⅓ avg 668ms → last ⅓ avg 637ms

Headshot accuracy15.4%+0.6%

first ⅓ avg 14.8% → last ⅓ avg 15.4%

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

0.10Best rating — vertigo 9–5

13–1Biggest win — mirage

4Longest win streak

7–11In matches decided by ≤2 rounds

3Overtime games

Map breakdown

infernoBest map · 50% over 12nukeWeakest map · 18% over 11

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	27	12–15	44%	-0.01
inferno	B	12	6–6	50%	0.02
mirage	C	12	5–7	42%	-0.02
nuke	D	11	2–9	18%	-0.04
train	B	6	3–3	50%	-0.01
vertigo	C	5	2–3	40%	-0.02
anubis	—	4	2–2	50%	-0.02
ancient	—	4	2–2	50%	-0.02
cache	—	3	1–2	33%	0.01
overpass	—	3	0–3	0%	-0.00
warden	—	3	1–2	33%	-0.00
office	—	3	1–2	33%	-0.01
italy	—	2	1–1	50%	0.00
debris	—	1	1–0	100%	-0.02
shelter	—	1	1–0	100%	0.00
stronghold	—	1	0–1	0%	-0.03
golden	—	1	0–1	0%	-0.07
dogtown	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

29,038Lifetime kills

1.00K/D

1,658Matches

33.7%Match win rate

31.8%Headshot %

14.2%Shot accuracy · Top 50% of tracked players

2,479MVPs

570Hours (in match)

1,310Bombs planted

278Bombs defused

Most-used weapons

AK-476,216

AWP4,178

M4A4 / M4A1-S3,995

P901,362

P2000 / USP-S1,214

Desert Eagle847

SSG 08753

Glock-18717

MP9700

Negev666

Lifetime map wins

3,698dust2

1,166nuke

983inferno

626vertigo

271train

162office

104cbble

62italy

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.

14.7%Headshot accuracy

32.7%Accuracy (enemy spotted)

35.0%Spray accuracy

78.5%Counter-strafing

12.0°Preaim

636msReaction time

42.3%T opening success

42.1%CT opening success

0.42Enemies flashed / flash

3.6%Flash assists

14.68HE damage / grenade

3.46Flashes / 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 12.0013° — 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 14.6834% — 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 0.4172 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Nuke

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

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	9–13	-0.02	13%	27 Aug →
dust2	13–11	0.04	42%	22 Aug →
vertigo	11–13	-0.10	13%	22 Aug →
nuke	3–9	-0.18	33%	22 Aug →
inferno	9–7	0.08	16%	22 Aug →
debris	9–3	-0.02	10%	21 Aug →
inferno	9–7	0.00	14%	21 Aug →
shelter	13–4	0.00	11%	21 Aug →
cache	6–13	0.03	13%	21 Aug →
dust2	7–13	0.02	22%	21 Aug →
dust2	13–2	-0.03	21%	16 Aug →
nuke	2–13	-0.07	17%	15 Aug →
anubis	13–11	0.02	13%	15 Aug →
dust2	8–13	-0.07	10%	15 Aug →
inferno	7–9	-0.08	18%	15 Aug →
inferno	8–8	0.04	9%	15 Aug →
nuke	13–11	0.02	17%	14 Aug →
train	12–12	-0.08	7%	25 Jul →
inferno	13–3	-0.02	17%	25 Jul →
dust2	9–13	-0.04	22%	25 Jul →
anubis	13–7	0.04	15%	25 Jul →
inferno	13–5	0.00	18%	18 Jul →
mirage	5–13	-0.07	6%	18 Jul →
train	13–3	-0.03	18%	18 Jul →
ancient	11–13	-0.01	13%	18 Jul →
dust2	13–9	0.03	16%	18 Jul →
italy	9–13	-0.05	11%	6 Jun →
dust2	9–13	0.01	14%	6 Jun →
train	13–7	0.02	10%	9 May →
mirage	9–13	-0.05	11%	9 May →
dust2	13–9	0.04	16%	9 May →
cache	5–13	-0.04	9%	3 May →
cache	13–10	0.05	13%	3 May →
mirage	13–5	-0.03	4%	3 May →
overpass	11–13	0.04	16%	3 May →
nuke	3–13	-0.03	12%	18 Apr →
nuke	14–16	0.01	15%	18 Apr →
mirage	13–1	0.01	13%	18 Apr →
dust2	12–12	0.05	18%	18 Apr →
dust2	13–10	0.01	12%	11 Apr →
nuke	11–13	0.01	13%	11 Apr →
anubis	3–13	-0.08	4%	11 Apr →
warden	12–12	0.07	7%	30 Mar →
dust2	13–3	0.02	13%	28 Mar →
anubis	3–13	-0.08	9%	28 Mar →
nuke	10–13	-0.06	21%	16 Mar →
dust2	4–13	0.01	7%	15 Mar →
mirage	2–13	-0.03	20%	8 Mar →
dust2	1–6	-0.08	43%	8 Mar →
office	11–13	-0.01	13%	7 Mar →
dust2	13–6	0.06	16%	7 Mar →
vertigo	9–5	0.10	14%	31 Jan →
warden	13–3	-0.01	10%	30 Jan →
stronghold	9–13	-0.03	11%	24 Jan →
warden	6–13	-0.07	10%	24 Jan →
nuke	6–13	-0.04	24%	3 Jan →
dust2	13–11	-0.01	19%	3 Jan →
mirage	13–8	-0.00	13%	3 Jan →
inferno	2–10	-0.01	29%	3 Jan →
nuke	10–13	-0.02	18%	1 Jan →
ancient	13–11	-0.05	6%	1 Jan →
overpass	12–12	-0.06	7%	1 Jan →
mirage	13–8	-0.02	13%	1 Jan →
dust2	13–4	0.01	16%	31 Dec →
mirage	8–13	-0.05	18%	31 Dec →
dust2	13–7	0.00	10%	31 Dec →
inferno	13–9	0.04	8%	31 Dec →
dust2	14–16	-0.04	8%	30 Dec →
dust2	11–13	-0.03	14%	30 Dec →
vertigo	13–9	0.03	9%	30 Dec →
office	10–13	-0.05	33%	30 Dec →
train	13–7	0.03	25%	30 Dec →
dust2	13–6	-0.01	10%	30 Dec →
inferno	13–9	0.08	24%	29 Dec →
mirage	6–13	-0.03	13%	27 Dec →
dust2	11–13	-0.10	14%	24 Dec →
inferno	9–13	0.06	16%	24 Dec →
dust2	5–13	-0.01	20%	9 Dec →
inferno	12–12	0.00	15%	9 Dec →
dust2	4–13	-0.09	17%	7 Dec →
golden	5–13	-0.07	15%	5 Dec →
nuke	4–13	-0.08	8%	3 Dec →
mirage	8–13	0.02	5%	3 Dec →
train	12–12	-0.01	18%	3 Dec →
mirage	6–13	0.01	11%	29 Nov →
office	13–8	0.04	8%	29 Nov →
italy	13–8	0.06	11%	21 Nov →
dust2	7–13	-0.00	11%	15 Nov →
vertigo	6–13	-0.05	7%	8 Nov →
dust2	13–10	-0.02	11%	4 Oct →
vertigo	2–9	-0.06	17%	20 Jul →
overpass	10–13	0.02	12%	20 Jul →
mirage	13–10	-0.04	21%	13 Jul →
dust2	6–13	-0.06	16%	13 Jul →
dogtown	8–8	-0.02	17%	14 Jun →
ancient	12–12	-0.01	20%	14 Jun →
dust2	12–12	-0.03	12%	14 Jun →
ancient	13–5	0.01	12%	14 Jun →
nuke	16–13	-0.03	17%	14 Jun →
train	12–12	0.03	23%	7 Jun →