Gary — CS2 Stats

76561198975728378[U:1:1015462650]Steam profile ↗

708Tracked matches14%Win rate2021Tracked since

CSDB Rating2.9 Learning

FaceitLevel 4Top 81.0% of ranked FACEIT players

WingmanGold Nova I

Ladder ranks via Leetify

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Performance scores

Aim36

Positioning28

Utility13

0–100 skill scores via Leetify.

Recent form

COLD22–67–11Last 10022%Win rateLLLLWLLLLL

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

Player DNA

Aim3.6

Aggression3.0

Utility1.3

Positioning2.8

Opening Duels0.0

Clutch6.0

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 NiKo 64% 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

Reaction time. 729ms 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

Aim3.6

Positioning2.8

Utility1.3

Mechanics6.4

Opening Duels0.6

Win Impact0.0

Composite 2.9/10 (Learning), 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-0.06−0.05

first ⅓ avg -0.02 → last ⅓ avg -0.06

Reaction time731ms+57ms

first ⅓ avg 674ms → last ⅓ avg 731ms

Headshot accuracy15.1%−5.3%

first ⅓ avg 20.4% → last ⅓ avg 15.1%

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

0.32Best rating — nuke 9–0

13–3Biggest win — ancient

3Longest win streak

L4Current streak

7–10In matches decided by ≤2 rounds

3Overtime games

Map breakdown

mirageBest map · 32% over 19cacheWeakest map · 0% over 5

Map	Grade	Played	Record	Win rate	Avg rating
inferno	D	23	5–18	22%	-0.05
mirage	D	19	6–13	32%	-0.05
nuke	D	16	3–13	19%	-0.03
anubis	D	9	2–7	22%	-0.06
dust2	D	9	2–7	22%	-0.03
ancient	D	7	1–6	14%	-0.05
vertigo	D	7	2–5	29%	-0.03
cache	D	5	0–5	0%	-0.05
overpass	—	2	1–1	50%	-0.06
sanctum	—	1	0–1	0%	-0.11
poseidon	—	1	0–1	0%	-0.19
train	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Faceit stats

Combat

9Matches

33%Win rate

0.60Avg K/D

63.0ADR

49%Headshot %

Clutches & streaks

50%1v1 clutch win

0%1v2 clutch win

3Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	4	25%	0.66	12.3
Ancient	3	33%	0.49	11.7
Dust2	2	50%	0.64	10.5

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.

14.9%Headshot accuracy

30.9%Accuracy (enemy spotted)

37.2%Spray accuracy

78.9%Counter-strafing

12.8°Preaim

729msReaction time

22.9%T opening success

34.8%CT opening success

0.52Enemies flashed / flash

2.7%Flash assists

3.77HE damage / grenade

2.35Flashes / 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 12.7796° — 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 14.9364% — below the 15% mark we flag
Aim Training →
Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 728.7373ms — above the 700ms mark we flag
Aim Training →

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.

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
ancient	6–13	-0.05	6%	28 May →
vertigo	0–13	-0.02	50%	20 May →
cache	1–13	-0.11	20%	16 May →
inferno	7–9	-0.17	13%	16 May →
nuke	9–0	-0.04	0%	16 May →
nuke	7–9	-0.01	18%	15 May →
anubis	5–13	-0.14	10%	12 May →
mirage	3–13	-0.07	9%	11 May →
inferno	11–13	-0.04	14%	7 May →
nuke	3–13	-0.01	17%	7 May →
inferno	13–7	0.02	17%	6 May →
dust2	13–11	-0.05	14%	6 May →
dust2	7–13	-0.01	35%	5 May →
inferno	9–7	-0.19	11%	3 May →
sanctum	8–8	-0.11	13%	3 May →
nuke	10–13	-0.06	5%	3 May →
mirage	10–13	-0.07	9%	2 May →
anubis	6–13	-0.07	10%	2 May →
inferno	10–13	-0.04	18%	1 May →
poseidon	5–9	-0.19	20%	1 May →
inferno	4–9	-0.09	15%	1 May →
cache	12–12	-0.02	9%	1 May →
inferno	3–13	-0.09	15%	1 May →
ancient	11–13	-0.00	13%	1 May →
ancient	7–13	-0.10	10%	29 Apr →
cache	11–13	-0.01	15%	29 Apr →
vertigo	7–13	-0.04	19%	29 Apr →
cache	12–12	-0.06	15%	29 Apr →
cache	7–13	-0.07	24%	28 Apr →
mirage	16–14	-0.06	13%	28 Apr →
overpass	13–9	-0.05	14%	28 Apr →
dust2	6–13	-0.09	6%	28 Apr →
nuke	1–13	-0.03	19%	28 Apr →
mirage	2–13	-0.09	5%	27 Apr →
mirage	8–13	-0.03	19%	24 Apr →
mirage	2–5	-0.06	20%	24 Apr →
dust2	5–13	-0.01	15%	23 Apr →
inferno	8–13	-0.06	14%	19 Apr →
ancient	11–13	-0.10	3%	19 Apr →
dust2	3–13	0.03	21%	18 Apr →
ancient	4–13	-0.04	12%	17 Apr →
anubis	13–11	-0.01	21%	17 Apr →
dust2	13–7	0.05	13%	17 Apr →
mirage	5–13	-0.02	19%	17 Apr →
anubis	10–13	-0.04	20%	17 Apr →
nuke	13–6	-0.01	17%	17 Apr →
mirage	16–14	-0.01	15%	16 Apr →
nuke	4–9	-0.15	18%	15 Apr →
inferno	6–13	0.00	27%	14 Apr →
nuke	4–13	-0.02	22%	14 Apr →
anubis	8–13	-0.12	9%	30 Mar →
mirage	13–4	-0.02	20%	24 Mar →
nuke	8–8	-0.08	42%	23 Mar →
nuke	1–7	-0.11	0%	19 Mar →
inferno	0–13	-0.09	40%	19 Mar →
inferno	8–8	-0.08	21%	19 Mar →
dust2	8–13	-0.07	22%	14 Mar →
mirage	6–13	-0.07	15%	20 Feb →
mirage	6–13	-0.06	10%	20 Feb →
inferno	5–9	-0.10	14%	13 Feb →
nuke	2–13	-0.08	16%	28 Jan →
anubis	10–13	-0.07	7%	24 Jan →
dust2	10–13	-0.06	32%	24 Jan →
nuke	7–13	-0.09	18%	24 Jan →
ancient	2–13	-0.05	16%	24 Jan →
vertigo	5–13	-0.06	21%	21 Jan →
overpass	5–13	-0.06	47%	15 Jan →
mirage	15–15	-0.05	22%	14 Jan →
mirage	2–12	-0.01	27%	8 Jan →
ancient	13–3	-0.01	19%	8 Jan →
anubis	11–13	-0.03	19%	6 Jan →
mirage	13–7	-0.11	14%	6 Jan →
vertigo	13–10	-0.07	8%	6 Jan →
dust2	0–8	-0.07	17%	29 Dec →
anubis	9–7	-0.04	29%	29 Dec →
anubis	1–13	0.02	24%	22 Dec →
mirage	13–8	-0.01	12%	22 Dec →
nuke	7–13	-0.05	7%	22 Dec →
inferno	3–13	-0.09	31%	19 Dec →
mirage	12–12	-0.06	11%	19 Dec →
vertigo	4–13	-0.03	21%	19 Dec →
train	12–12	-0.01	17%	17 Dec →
mirage	13–9	-0.04	20%	17 Dec →
mirage	4–11	-0.08	0%	13 Dec →
inferno	11–13	-0.06	36%	13 Dec →
vertigo	2–13	-0.10	13%	11 Dec →
inferno	8–8	-0.04	19%	11 Dec →
nuke	9–0	0.32	19%	11 Dec →
inferno	7–9	-0.07	17%	11 Dec →
inferno	8–8	0.03	26%	11 Dec →
inferno	5–9	0.05	11%	11 Dec →
inferno	7–13	0.01	55%	10 Dec →
nuke	12–12	-0.04	19%	8 Dec →
vertigo	9–5	0.10	28%	25 Nov →
inferno	9–7	-0.05	25%	25 Nov →
inferno	9–5	0.09	40%	25 Nov →
inferno	4–9	-0.16	8%	25 Nov →
nuke	4–9	-0.01	19%	25 Nov →
mirage	11–13	0.07	19%	20 Nov →
inferno	9–5	0.04	22%	18 Nov →