g33 — CS2 Stats

US76561198219754601[U:1:259488873]Steam profile ↗✓ No bans

814Tracked matches66%Win rate2023Tracked since

CSDB Rating5.4 Developing

Premier CS Rating14,670Blue band · top ~30.1% of ranked players (population est.)

CSDB Leaderboard#16817 of 26147 tracked

FaceitLevel 5 · 1,066 ELOTop 67.6% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim51

Positioning61

Utility69

0–100 skill scores via Leetify.

Recent form

HOT50–43–7Last 10050%Win rateLWTWWWLWWW

Last 10 vs previous 10: +10pp win rate · +0.06 avg rating

Player DNA

Aim5.1

Aggression7.9

Utility6.9

Positioning6.1

Opening Duels2.9

Clutch4.8

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-duel success, positioning profile.

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

CT openings. Opening success drops from 50% on T to 34% on CT — first contacts on the defending side are being lost.

Reaction time. 597ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.1

Positioning6.1

Utility6.9

Mechanics4.3

Opening Duels2.9

Win Impact10.0

Composite 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.05+0.03

first ⅓ avg 0.02 → last ⅓ avg 0.05

Reaction time611ms−27ms

first ⅓ avg 638ms → last ⅓ avg 611ms

Headshot accuracy9.9%−1.3%

first ⅓ avg 11.2% → last ⅓ avg 9.9%

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

0.27Best rating — nuke 9–1

13–1Biggest win — inferno

5Longest win streak

11–11In matches decided by ≤2 rounds

5Overtime games

Map breakdown

ancientBest map · 67% over 9cacheWeakest map · 37% over 27

Map	Grade	Played	Record	Win rate	Avg rating
cache	C	27	10–17	37%	0.02
inferno	B	21	11–10	52%	0.04
nuke	B	16	8–8	50%	0.04
mirage	B	11	5–6	45%	0.02
ancient	S	9	6–3	67%	0.04
overpass	A	7	4–3	57%	0.04
dust2	—	3	2–1	67%	0.05
anubis	—	3	2–1	67%	0.03
vertigo	—	2	1–1	50%	-0.05
poseidon	—	1	1–0	100%	-0.00

Across the last 100 tracked matches.

Faceit stats

Combat

94Matches

48%Win rate

1.41Avg K/D

89.1ADR

33%Headshot %

Clutches & streaks

44%1v1 clutch win

34%1v2 clutch win

4Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	28	50%	1.44	17.9
Inferno	22	50%	1.73	19.9
Nuke	16	44%	1.26	17.4
Dust2	13	62%	1.32	18.0
Train	7	29%	1.18	16.1
Overpass	5	40%	1.01	15.0
Ancient	3	33%	1.11	17.7

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.

9.8%Headshot accuracy

37.6%Accuracy (enemy spotted)

41.4%Spray accuracy

69.2%Counter-strafing

11.9°Preaim

597msReaction time

49.8%T opening success

33.6%CT opening success

0.57Enemies flashed / flash

7.4%Flash assists

13.07HE damage / grenade

10.96Flashes / 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 9.7947% — below the 15% mark we flag
Aim Training →
Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 33.5624% — below the 40% mark we flag

Spend your practice time on Cache

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

37% win rate across 27 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
inferno	6–9	-0.03	7%	25 Jun →
nuke	9–1	0.27	13%	25 Jun →
inferno	8–8	0.05	10%	25 Jun →
nuke	9–5	0.19	15%	25 Jun →
inferno	9–6	0.06	6%	25 Jun →
nuke	9–7	0.13	11%	25 Jun →
inferno	2–9	-0.11	14%	25 Jun →
nuke	9–4	0.07	11%	25 Jun →
mirage	13–10	0.04	9%	24 Jun →
mirage	13–4	0.12	11%	24 Jun →
nuke	11–13	0.12	13%	24 Jun →
nuke	13–9	0.01	8%	24 Jun →
inferno	13–5	0.04	11%	23 Jun →
ancient	13–8	0.03	6%	23 Jun →
overpass	13–6	-0.02	9%	22 Jun →
inferno	13–8	0.08	19%	22 Jun →
nuke	1–9	-0.08	6%	19 Jun →
ancient	9–13	-0.01	3%	19 Jun →
mirage	1–9	0.03	0%	19 Jun →
mirage	13–7	0.04	19%	17 Jun →
inferno	8–4	0.10	18%	17 Jun →
cache	11–13	0.02	8%	17 Jun →
ancient	8–13	-0.00	5%	13 Jun →
ancient	16–14	0.14	13%	10 Jun →
cache	2–7	-0.06	11%	9 Jun →
mirage	13–10	0.13	9%	7 Jun →
ancient	13–6	0.08	10%	7 Jun →
nuke	3–13	-0.05	8%	7 Jun →
cache	7–13	0.01	8%	7 Jun →
inferno	13–1	0.12	15%	7 Jun →
dust2	13–7	0.07	6%	6 Jun →
overpass	11–13	0.04	11%	6 Jun →
anubis	13–5	0.02	3%	6 Jun →
overpass	13–4	0.11	7%	6 Jun →
vertigo	13–6	-0.00	13%	6 Jun →
nuke	5–9	-0.10	9%	6 Jun →
inferno	9–2	0.14	8%	6 Jun →
inferno	9–6	0.19	12%	6 Jun →
poseidon	9–5	-0.00	13%	6 Jun →
mirage	13–11	0.00	9%	2 Jun →
inferno	13–11	0.08	12%	31 May →
cache	12–12	0.01	11%	30 May →
mirage	11–13	0.03	8%	28 May →
cache	9–13	-0.01	10%	28 May →
cache	13–11	0.04	12%	27 May →
cache	13–11	0.09	7%	25 May →
cache	13–10	-0.05	4%	25 May →
cache	3–13	0.01	4%	21 May →
overpass	7–13	-0.04	7%	21 May →
cache	13–10	0.12	7%	17 May →
inferno	13–16	0.02	12%	17 May →
mirage	6–13	-0.01	26%	17 May →
inferno	13–11	0.08	11%	14 May →
cache	13–2	0.09	14%	14 May →
cache	7–13	-0.01	11%	12 May →
cache	7–13	0.01	10%	12 May →
ancient	13–8	-0.02	13%	12 May →
cache	12–12	-0.02	15%	12 May →
mirage	1–13	-0.03	3%	12 May →
nuke	13–9	0.06	9%	12 May →
cache	12–12	0.03	14%	12 May →
cache	10–13	0.00	14%	11 May →
cache	13–8	-0.02	16%	7 May →
cache	13–8	0.05	10%	7 May →
cache	13–4	-0.05	24%	6 May →
cache	10–13	0.03	17%	4 May →
cache	12–12	0.02	11%	4 May →
cache	6–13	0.07	11%	4 May →
mirage	5–13	-0.03	16%	2 May →
cache	5–13	-0.02	7%	2 May →
cache	13–11	0.05	8%	1 May →
cache	13–11	0.02	21%	1 May →
cache	12–12	0.08	16%	30 Apr →
cache	8–13	0.00	19%	30 Apr →
nuke	6–13	-0.06	10%	21 Apr →
nuke	13–2	0.02	3%	19 Mar →
inferno	5–13	0.09	8%	17 Mar →
nuke	15–15	-0.04	12%	17 Mar →
inferno	11–13	0.03	2%	16 Mar →
mirage	11–13	-0.05	11%	16 Mar →
ancient	13–11	0.08	11%	1 Mar →
nuke	13–5	0.19	16%	25 Feb →
dust2	14–16	0.05	14%	23 Feb →
inferno	13–10	0.04	13%	22 Feb →
inferno	10–13	0.07	6%	22 Feb →
inferno	2–13	-0.08	14%	21 Feb →
dust2	16–13	0.04	5%	21 Feb →
ancient	13–4	0.01	4%	21 Feb →
overpass	13–5	0.05	7%	20 Feb →
ancient	8–13	0.05	11%	18 Feb →
anubis	9–13	0.02	12%	18 Feb →
anubis	13–8	0.06	14%	18 Feb →
nuke	7–9	-0.11	13%	17 Feb →
inferno	7–9	-0.04	8%	17 Feb →
overpass	13–6	0.09	11%	17 Feb →
inferno	9–7	-0.00	11%	16 Feb →
inferno	7–9	-0.03	14%	16 Feb →
nuke	5–9	-0.02	21%	16 Feb →
vertigo	1–9	-0.10	14%	16 Feb →
overpass	11–13	0.02	8%	16 Feb →