GAETAN — CS2 Stats

CA76561198391803827[U:1:431538099]Steam profile ↗✓ No bans

927Tracked matches38%Win rate2022Tracked since

658Hours in CS

CSDB Rating5.4 DevelopingPassive Rifler

FaceitLevel 6Top 54.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim74

Positioning46

Utility39

0–100 skill scores via Leetify.

Recent form

COLD47–49–4Last 10047%Win rateLLTLLLLLLW

Last 10 vs previous 10: -40pp win rate · -0.04 avg rating

Player DNA

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

Aim7.4

Aggression4.3

Utility3.9

Positioning4.6

Opening Duels0.6

Clutch3.6

Excellent counter-strafingStrong CT-side opener

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 85% playstyle similarity

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

Where you differ: lower aim profile; lower utility contribution.

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

Strengths

Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 43% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 670ms 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

Aim7.4

Positioning4.6

Utility3.9

Mechanics9.1

Opening Duels1.6

Win Impact1.0

Composite 5.4/10 (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-0.01−0.02

first ⅓ avg 0.01 → last ⅓ avg -0.01

Reaction time644ms−0ms

first ⅓ avg 644ms → last ⅓ avg 644ms

Headshot accuracy15.3%−2.2%

first ⅓ avg 17.5% → last ⅓ avg 15.3%

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

0.11Best rating — nuke 13–3

13–2Biggest win — mirage

5Longest win streak

L2Current streak

7–6In matches decided by ≤2 rounds

3Overtime games

Map breakdown

infernoBest map · 80% over 10ancientWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
nuke	C	16	6–10	38%	0.00
dust2	B	13	6–7	46%	0.00
anubis	B	13	6–7	46%	-0.01
mirage	C	12	5–7	42%	-0.03
inferno	S	10	8–2	80%	0.01
overpass	B	8	4–4	50%	0.03
vertigo	B	6	3–3	50%	0.02
cache	C	5	2–3	40%	0.01
ancient	D	5	1–4	20%	0.01
train	A	5	3–2	60%	-0.01
office	—	4	2–2	50%	-0.02
alpine	—	1	0–1	0%	0.07
stronghold	—	1	1–0	100%	0.01
warden	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

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

Lifetime stats

81,084Lifetime kills

2.68K/D · Top 1% of tracked players

1,982Matches

47.1%Match win rate · Top 50% of tracked players

71.7%Headshot % · Top 1% of tracked players

16.1%Shot accuracy · Top 25% of tracked players

3,917MVPs

658Hours (in match)

1,432Bombs planted

315Bombs defused

Most-used weapons

MP944,721

AK-4714,661

M4A4 / M4A1-S7,642

P2000 / USP-S2,220

Glock-181,981

AWP1,524

Desert Eagle1,427

Galil AR1,071

MAC-10692

Molotov527

Lifetime map wins

2,662office

1,981dust2

1,740nuke

1,525inferno

1,132vertigo

568train

253italy

205cbble

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

Faceit stats

Combat

118Matches

53%Win rate

1.19Avg K/D

81.7ADR

48%Headshot %

Clutches & streaks

38%1v1 clutch win

29%1v2 clutch win

5Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	20	45%	1.15	15.1
Inferno	19	58%	1.12	16.8
Anubis	19	58%	1.37	18.6
Cache	15	53%	1.19	13.1
Nuke	13	69%	1.36	15.8
Dust2	11	45%	1.14	15.4
Ancient	9	56%	1.13	16.1
Overpass	8	62%	1.05	16.3

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.

16.0%Headshot accuracy

38.3%Accuracy (enemy spotted)

38.3%Spray accuracy

90.7%Counter-strafing

9.9°Preaim

670msReaction time

21.8%T opening success

42.6%CT opening success

0.48Enemies flashed / flash

5.7%Flash assists

8.73HE damage / grenade

6.14Flashes / 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 0.4816 — 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 21.8405% — below the 40% mark we flag

Spend your practice time on Ancient

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.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	0–2	-0.05	0%	1 Aug →
dust2	10–13	-0.02	20%	23 Jul →
dust2	15–15	-0.01	19%	23 Jul →
nuke	10–13	-0.01	22%	23 Jul →
nuke	3–13	-0.12	7%	20 Jul →
anubis	8–13	-0.01	16%	20 Jul →
dust2	6–13	-0.02	18%	20 Jul →
office	3–13	-0.05	9%	18 Jul →
inferno	10–13	-0.06	10%	18 Jul →
mirage	13–10	-0.03	23%	18 Jul →
cache	13–3	0.02	19%	18 Jul →
inferno	13–10	0.03	23%	11 Jul →
dust2	13–6	0.07	13%	11 Jul →
overpass	13–10	0.02	19%	3 Jun →
nuke	10–13	0.09	21%	2 Jun →
anubis	8–13	-0.08	15%	31 May →
overpass	13–11	0.03	19%	29 May →
mirage	2–13	-0.05	17%	25 May →
nuke	7–13	-0.10	8%	21 May →
cache	5–13	-0.05	18%	17 May →
mirage	10–13	-0.02	16%	10 May →
nuke	8–13	0.02	6%	10 May →
ancient	13–11	0.01	16%	3 May →
cache	13–16	0.08	15%	3 May →
nuke	13–3	0.11	20%	30 Apr →
cache	8–0	0.06	7%	29 Apr →
mirage	7–13	-0.10	9%	28 Apr →
anubis	13–7	0.05	10%	28 Apr →
inferno	13–11	0.01	23%	28 Apr →
dust2	7–13	-0.06	14%	28 Apr →
dust2	8–13	-0.07	24%	28 Apr →
anubis	13–9	0.01	6%	26 Apr →
inferno	13–10	-0.02	24%	26 Apr →
mirage	11–13	-0.06	6%	26 Apr →
overpass	9–13	0.02	20%	26 Apr →
nuke	13–5	-0.04	16%	26 Apr →
office	6–13	-0.05	17%	24 Apr →
train	13–10	0.03	16%	24 Apr →
anubis	13–8	-0.04	14%	24 Apr →
nuke	9–13	-0.07	14%	24 Apr →
overpass	13–3	0.04	16%	24 Apr →
inferno	10–13	-0.04	16%	24 Apr →
overpass	11–13	0.03	21%	12 Apr →
inferno	13–10	0.05	18%	12 Apr →
mirage	13–7	-0.02	19%	12 Apr →
nuke	13–9	0.01	15%	12 Apr →
office	13–3	0.00	18%	12 Apr →
dust2	13–7	-0.01	16%	11 Apr →
mirage	10–13	-0.00	19%	11 Apr →
inferno	13–11	0.03	15%	11 Apr →
dust2	13–10	-0.03	18%	11 Apr →
mirage	13–16	-0.02	17%	8 Apr →
vertigo	12–12	0.09	17%	8 Apr →
office	13–8	0.04	18%	8 Apr →
train	12–12	-0.02	22%	7 Apr →
mirage	13–2	0.02	22%	7 Apr →
dust2	13–6	0.09	28%	7 Apr →
vertigo	13–10	0.03	21%	7 Apr →
mirage	5–13	-0.11	23%	7 Apr →
ancient	10–13	0.07	19%	7 Apr →
anubis	11–13	-0.03	6%	4 Apr →
overpass	13–3	0.07	10%	4 Apr →
nuke	10–13	-0.03	10%	4 Apr →
anubis	13–7	0.03	25%	4 Apr →
overpass	7–13	0.01	7%	2 Apr →
dust2	13–7	0.10	24%	2 Apr →
mirage	13–11	0.01	33%	2 Apr →
train	13–3	-0.05	8%	2 Apr →
dust2	3–13	-0.08	14%	2 Apr →
nuke	1–13	-0.01	26%	2 Apr →
nuke	9–13	-0.00	10%	30 Mar →
inferno	13–10	0.01	13%	30 Mar →
vertigo	6–13	0.09	18%	30 Mar →
anubis	3–13	-0.07	8%	7 Mar →
ancient	8–13	-0.07	8%	7 Mar →
train	13–8	-0.04	4%	1 Mar →
anubis	9–13	-0.06	17%	1 Mar →
vertigo	13–8	-0.01	20%	1 Mar →
nuke	8–13	-0.02	23%	1 Mar →
inferno	13–6	0.00	22%	1 Mar →
nuke	13–10	0.06	16%	14 Feb →
ancient	7–13	0.07	35%	10 Feb →
train	11–13	-0.00	19%	8 Feb →
vertigo	1–13	-0.10	14%	8 Feb →
dust2	13–10	0.03	27%	8 Feb →
overpass	1–13	0.04	24%	7 Feb →
nuke	13–6	0.06	19%	7 Feb →
anubis	13–4	0.09	11%	7 Feb →
mirage	13–7	0.02	10%	7 Feb →
dust2	3–12	0.05	38%	7 Feb →
vertigo	13–7	0.02	21%	7 Feb →
anubis	12–12	0.06	23%	4 Feb →
nuke	13–9	0.07	18%	4 Feb →
inferno	13–7	0.06	15%	4 Feb →
anubis	6–13	-0.02	16%	4 Feb →
alpine	6–13	0.07	17%	2 Feb →
anubis	13–11	0.01	19%	2 Feb →
stronghold	13–11	0.01	13%	2 Feb →
warden	11–13	0.01	11%	2 Feb →
ancient	5–13	-0.03	18%	18 Jan →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

500 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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