G* — CS2 Stats

76561197961187555[U:1:921827]Steam profile ↗

2,818Tracked matches52%Win rate2020Tracked since

CSDB Rating5.1 DevelopingHybrid Rifler

FaceitLevel 7 · 1,422 ELOTop 42.3% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

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Performance scores

Aim63

Positioning55

Utility60

0–100 skill scores via Leetify.

Recent form

HOT49–49–2Last 10049%Win rateLWLWWWWLWW

Last 10 vs previous 10: +30pp win rate · -0.02 avg rating

Player DNA

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

Aim6.3

Aggression6.4

Utility6.0

Positioning5.5

Opening Duels2.7

Clutch0.0

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 b1t 91% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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. 555ms 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

Aim6.3

Positioning5.5

Utility6.0

Mechanics6.1

Opening Duels2.7

Win Impact5.6

Composite 5.1/10 (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-0.01+0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time552ms−54ms

first ⅓ avg 606ms → last ⅓ avg 552ms

Headshot accuracy14.4%+0.6%

first ⅓ avg 13.7% → last ⅓ avg 14.4%

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

0.17Best rating — anubis 13–8

13–1Biggest win — anubis

5Longest win streak

10–4In matches decided by ≤2 rounds

8Overtime games

Map breakdown

anubisBest map · 73% over 15overpassWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	22	11–11	50%	-0.00
ancient	B	21	10–11	48%	-0.01
anubis	S	15	11–4	73%	0.01
dust2	C	15	6–9	40%	-0.02
mirage	D	12	4–8	33%	-0.01
overpass	D	5	1–4	20%	-0.05
train	—	3	3–0	100%	0.09
vertigo	—	3	0–3	0%	-0.00
cache	—	2	2–0	100%	0.03
nuke	—	1	0–1	0%	0.02
poseidon	—	1	1–0	100%	-0.02

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

240Matches

50%Win rate

0.96Avg K/D

72.4ADR

36%Headshot %

Clutches & streaks

15%1v1 clutch win

19%1v2 clutch win

6Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	17	53%	0.78	13.7
Anubis	12	50%	0.88	15.6
Inferno	9	78%	1.15	14.2
Dust2	8	25%	0.93	14.3
Vertigo	5	40%	0.92	13.2
Ancient	4	50%	0.87	13.5
Overpass	4	50%	1.22	17.0
Nuke	2	0%	0.33	6.0

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.

14.0%Headshot accuracy

32.0%Accuracy (enemy spotted)

35.2%Spray accuracy

77.6%Counter-strafing

9.0°Preaim

555msReaction time

39.9%T opening success

41.5%CT opening success

0.63Enemies flashed / flash

5.1%Flash assists

10.52HE damage / grenade

9.99Flashes / 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 13.9971% — below the 15% mark we flag
Aim Training →
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 39.9367% — below the 40% mark we flag

Spend your practice time on Overpass

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	0–4	-0.11	25%	25 Aug →
cache	13–4	0.02	19%	25 Aug →
anubis	7–13	-0.02	10%	24 Aug →
inferno	13–7	0.00	12%	24 Aug →
inferno	13–11	-0.03	20%	16 Aug →
inferno	13–3	0.01	8%	16 Aug →
dust2	13–5	0.03	25%	16 Aug →
ancient	10–13	0.01	10%	5 Jul →
anubis	13–11	0.01	13%	4 Jul →
inferno	13–8	-0.04	15%	4 Jul →
inferno	6–13	0.03	17%	3 Jul →
inferno	16–14	-0.03	17%	2 Jul →
ancient	13–7	0.02	23%	1 Jul →
ancient	13–7	0.02	9%	30 Jun →
inferno	4–13	-0.02	19%	27 Jun →
inferno	9–13	0.01	16%	27 Jun →
inferno	10–13	0.06	11%	17 Jun →
train	13–4	0.06	20%	17 Jun →
dust2	5–13	-0.07	8%	13 Jun →
dust2	9–13	0.03	16%	12 Jun →
ancient	9–13	-0.08	7%	12 Jun →
ancient	13–11	-0.01	11%	12 Jun →
ancient	13–7	-0.02	12%	12 Jun →
ancient	9–13	-0.02	14%	11 Jun →
mirage	3–13	-0.06	5%	11 Jun →
anubis	13–1	0.11	10%	10 Jun →
ancient	15–15	0.07	12%	10 Jun →
ancient	2–13	-0.04	23%	10 Jun →
dust2	13–11	-0.09	12%	22 May →
ancient	5–13	-0.07	13%	18 May →
anubis	2–13	-0.04	15%	18 May →
mirage	6–13	0.03	16%	18 May →
inferno	9–13	0.02	13%	18 May →
mirage	13–8	-0.05	14%	14 May →
anubis	16–12	0.01	14%	14 May →
inferno	13–3	-0.01	24%	13 May →
ancient	13–10	0.03	9%	13 May →
nuke	8–13	0.02	16%	8 May →
cache	13–2	0.03	17%	8 May →
inferno	10–13	-0.03	6%	22 Apr →
dust2	13–11	-0.03	42%	22 Apr →
anubis	7–13	-0.02	13%	22 Apr →
inferno	13–4	0.07	20%	9 Mar →
dust2	4–13	-0.07	8%	9 Mar →
mirage	10–13	-0.02	8%	9 Mar →
mirage	8–13	0.00	20%	9 Mar →
ancient	13–3	-0.03	13%	9 Mar →
inferno	13–6	0.06	15%	8 Mar →
dust2	13–6	-0.01	12%	7 Mar →
dust2	13–10	-0.07	16%	6 Mar →
ancient	13–6	0.07	13%	6 Mar →
inferno	7–13	-0.02	14%	6 Mar →
train	13–7	0.07	14%	3 Mar →
train	13–11	0.14	15%	3 Mar →
anubis	13–5	-0.04	15%	3 Mar →
overpass	10–13	-0.05	13%	2 Mar →
ancient	7–13	-0.04	17%	2 Mar →
mirage	13–11	0.00	12%	26 Feb →
inferno	6–13	-0.00	10%	26 Feb →
dust2	13–16	-0.00	13%	24 Feb →
ancient	14–16	-0.02	12%	24 Feb →
ancient	16–12	0.01	10%	23 Feb →
overpass	13–2	-0.06	9%	23 Feb →
anubis	13–8	0.05	10%	22 Feb →
dust2	5–13	0.03	14%	22 Feb →
inferno	11–13	-0.02	26%	21 Feb →
vertigo	9–13	0.01	12%	17 Feb →
inferno	13–16	-0.05	18%	16 Feb →
inferno	13–9	0.02	17%	16 Feb →
inferno	13–10	-0.01	16%	16 Feb →
dust2	7–1	0.09	18%	13 Feb →
vertigo	12–12	-0.03	20%	13 Feb →
anubis	13–6	0.01	23%	12 Feb →
overpass	6–13	-0.05	13%	12 Feb →
dust2	8–13	-0.03	22%	10 Feb →
ancient	8–13	0.00	10%	10 Feb →
anubis	13–9	0.00	13%	10 Feb →
anubis	13–8	0.17	15%	10 Feb →
anubis	13–10	-0.05	9%	7 Feb →
ancient	13–10	-0.00	10%	7 Feb →
mirage	13–7	0.01	19%	7 Feb →
mirage	3–13	0.02	14%	6 Feb →
inferno	13–7	0.02	9%	6 Feb →
ancient	11–13	-0.05	9%	6 Feb →
poseidon	9–4	-0.02	21%	6 Feb →
vertigo	4–9	0.01	14%	6 Feb →
ancient	4–13	-0.04	22%	4 Feb →
dust2	11–13	-0.02	7%	4 Feb →
ancient	13–11	0.00	11%	3 Feb →
dust2	8–13	0.04	19%	3 Feb →
dust2	5–13	-0.08	12%	2 Feb →
anubis	2–13	-0.09	6%	1 Feb →
anubis	13–11	-0.03	16%	1 Feb →
overpass	6–13	-0.00	12%	1 Feb →
mirage	13–8	0.05	10%	31 Jan →
mirage	9–13	-0.02	14%	30 Jan →
mirage	6–13	-0.09	7%	30 Jan →
mirage	12–16	-0.06	9%	30 Jan →
overpass	5–13	-0.08	7%	30 Jan →
anubis	13–5	0.01	11%	30 Jan →