gNm — CS2 Stats

76561197989511450[U:1:29245722]✓ No bans

1,727Tracked matches60%Win rate2020Tracked since

5,447Hours in CS17Hrs last 2 wks

CSDB Rating5.5 SolidHybrid Rifler

WingmanSupreme Master First Class

Ladder ranks via Leetify

Performance scores

Aim64

Positioning49

Utility48

0–100 skill scores via Leetify.

Recent form

STEADY43–55–2Last 10043%Win rateLWLLWLWWWW

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.4

Aggression7.2

Utility4.8

Positioning4.9

Opening Duels2.8

Clutch3.6

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 87% playstyle similarity

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

Where you differ: 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. 575ms 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

Aim6.4

Positioning4.9

Utility4.8

Mechanics5.1

Opening Duels2.8

Win Impact8.3

Composite 5.5/10 (Solid), 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 0.00 → last ⅓ avg 0.01

Reaction time582ms−51ms

first ⅓ avg 633ms → last ⅓ avg 582ms

Headshot accuracy19.8%−1.9%

first ⅓ avg 21.7% → last ⅓ avg 19.8%

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

0.16Best rating — mirage 13–3

13–2Biggest win — ancient

4Longest win streak

11–15In matches decided by ≤2 rounds

10Overtime games

Map breakdown

nukeBest map · 80% over 5infernoWeakest map · 25% over 16

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	29	13–16	45%	-0.00
mirage	C	17	6–11	35%	0.00
inferno	D	16	4–12	25%	-0.01
anubis	B	12	6–6	50%	0.00
ancient	C	11	4–7	36%	-0.03
nuke	S	5	4–1	80%	0.01
office	—	4	2–2	50%	0.04
cache	—	2	2–0	100%	0.02
overpass	—	2	1–1	50%	-0.01
vertigo	—	1	1–0	100%	0.06
train	—	1	0–1	0%	-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

212,447Lifetime kills

1.17K/D · Top 25% of tracked players

9,745Matches

48.3%Match win rate · Top 50% of tracked players

43.7%Headshot %

16.3%Shot accuracy · Top 25% of tracked players

19,730MVPs

3,674Hours (in match)

6,946Bombs planted

1,865Bombs defused

Most-used weapons

AK-4747,850

M4A4 / M4A1-S33,049

AWP31,705

P2000 / USP-S11,712

Desert Eagle8,385

P908,125

Glock-187,570

FAMAS6,716

P2506,095

AUG5,788

Lifetime map wins

28,590dust2

17,933inferno

5,152nuke

2,532cbble

2,333train

990vertigo

273lake

208office

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

Faceit stats

Combat

3,508Matches

52%Win rate

0.97Avg K/D

76.4ADR

46%Headshot %

Clutches & streaks

38%1v1 clutch win

16%1v2 clutch win

10Longest win streak

Recent Faceit resultsWLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	223	53%	0.99	15.4
Mirage	220	45%	0.90	14.1
Inferno	153	56%	0.98	14.6
Ancient	122	41%	0.88	14.3
Anubis	87	53%	0.88	14.3
Nuke	78	59%	1.02	14.6
Cache	16	62%	0.96	15.4
Overpass	10	50%	0.79	12.8

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.

20.7%Headshot accuracy

31.4%Accuracy (enemy spotted)

34.0%Spray accuracy

73.1%Counter-strafing

9.3°Preaim

575msReaction time

39.8%T opening success

42.9%CT opening success

0.42Enemies flashed / flash

3.2%Flash assists

8.52HE damage / grenade

6.56Flashes / 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 0.419 — 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 39.8091% — below the 40% mark we flag

Spend your practice time on Inferno

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 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	8–13	-0.01	21%	20 Aug →
dust2	13–8	0.00	22%	20 Aug →
inferno	2–11	-0.07	6%	19 Aug →
mirage	9–13	0.00	15%	17 Aug →
anubis	13–10	0.02	30%	15 Aug →
inferno	9–13	0.01	18%	10 Jul →
dust2	13–3	-0.01	22%	17 Jun →
dust2	13–8	0.02	20%	9 Jun →
mirage	13–11	0.02	22%	9 Jun →
mirage	13–3	0.16	14%	7 Jun →
dust2	11–13	0.04	20%	4 Jun →
ancient	4–13	-0.05	27%	31 May →
anubis	6–1	0.06	25%	27 May →
dust2	13–11	-0.03	20%	20 May →
dust2	14–16	-0.02	10%	19 May →
inferno	10–13	0.02	28%	16 May →
nuke	13–8	0.01	23%	14 May →
inferno	13–7	0.00	19%	3 May →
cache	13–4	0.03	16%	30 Apr →
anubis	13–8	0.03	11%	30 Apr →
inferno	11–13	-0.05	32%	27 Apr →
cache	13–4	0.02	24%	26 Apr →
mirage	9–13	0.03	21%	24 Apr →
anubis	6–13	-0.04	22%	24 Apr →
ancient	13–2	0.02	16%	23 Apr →
dust2	13–11	-0.05	11%	15 Apr →
mirage	16–19	-0.04	30%	15 Apr →
vertigo	13–4	0.06	21%	8 Apr →
mirage	13–9	0.03	23%	8 Apr →
mirage	13–2	-0.03	18%	6 Apr →
dust2	14–16	0.01	18%	6 Apr →
ancient	10–13	-0.00	18%	3 Apr →
mirage	11–13	-0.00	9%	3 Apr →
anubis	13–11	0.02	18%	2 Apr →
nuke	13–11	0.05	37%	2 Apr →
inferno	5–13	0.01	24%	2 Apr →
dust2	7–13	-0.01	10%	1 Apr →
ancient	2–13	-0.04	19%	30 Mar →
dust2	8–13	-0.08	16%	30 Mar →
dust2	5–13	0.06	33%	29 Mar →
inferno	10–13	0.04	19%	29 Mar →
nuke	13–11	0.03	22%	29 Mar →
dust2	9–13	-0.02	20%	25 Mar →
inferno	16–19	-0.03	16%	21 Mar →
anubis	14–16	-0.02	13%	21 Mar →
dust2	13–8	0.09	12%	19 Mar →
ancient	4–13	-0.05	16%	17 Mar →
dust2	5–0	-0.01	17%	14 Mar →
mirage	10–13	0.02	17%	13 Mar →
mirage	6–13	-0.04	13%	11 Mar →
anubis	10–13	-0.02	12%	10 Mar →
mirage	9–13	0.02	35%	10 Mar →
dust2	17–19	-0.04	23%	9 Mar →
dust2	13–3	0.02	21%	8 Mar →
inferno	11–13	-0.04	10%	5 Mar →
ancient	11–13	0.02	25%	5 Mar →
ancient	2–13	-0.11	6%	5 Mar →
anubis	4–13	-0.08	17%	2 Mar →
anubis	6–13	0.02	25%	28 Feb →
inferno	7–13	-0.02	20%	27 Feb →
mirage	11–13	-0.02	19%	23 Feb →
mirage	8–13	-0.06	18%	19 Feb →
ancient	13–6	0.01	10%	17 Feb →
dust2	11–13	-0.00	28%	15 Feb →
mirage	13–3	-0.05	12%	14 Feb →
nuke	13–5	-0.01	17%	14 Feb →
dust2	11–13	-0.05	15%	7 Feb →
inferno	13–10	-0.00	22%	6 Feb →
anubis	13–10	-0.04	19%	26 Jan →
office	12–12	0.05	27%	1 Dec →
dust2	13–4	0.04	27%	31 Oct →
dust2	15–15	0.01	45%	25 Oct →
ancient	13–11	-0.04	14%	25 Oct →
dust2	4–13	-0.06	35%	25 Oct →
train	7–13	-0.00	27%	17 Oct →
ancient	13–6	-0.00	19%	13 Oct →
anubis	13–2	0.06	28%	12 Oct →
ancient	4–13	-0.11	0%	11 Oct →
inferno	7–13	-0.06	12%	6 Oct →
dust2	13–11	-0.01	15%	4 Oct →
dust2	6–13	0.00	21%	3 Oct →
inferno	10–13	-0.01	20%	2 Oct →
office	13–5	0.03	28%	1 Oct →
office	8–13	0.11	34%	1 Oct →
office	13–11	-0.01	18%	1 Oct →
inferno	8–13	-0.01	32%	30 Sept →
dust2	13–8	0.10	28%	29 Sept →
overpass	7–2	0.04	4%	29 Sept →
nuke	12–16	-0.02	19%	19 Sept →
inferno	13–11	0.06	19%	18 Sept →
overpass	11–13	-0.07	19%	18 Sept →
dust2	20–22	-0.03	17%	13 Sept →
mirage	7–13	-0.01	24%	12 Sept →
mirage	13–5	0.04	21%	8 Sept →
inferno	13–3	0.01	31%	8 Sept →
dust2	13–11	-0.01	17%	4 Sept →
dust2	6–13	-0.04	15%	4 Sept →
dust2	10–13	-0.06	16%	4 Sept →
mirage	14–16	0.00	24%	3 Sept →
dust2	13–4	0.08	19%	2 Sept →