[SLIP] Gaetaen — CS2 Stats

BE76561198181616291[U:1:221350563]Steam profile ↗✓ No bans

5,849Tracked matches33%Win rate2021Tracked since

8,808Hours in CS91Hrs last 2 wks

CSDB Rating5.6 SolidAggressive Rifler

Premier CS Rating24,318Top 25% of 44,590 CSDB-tracked playersPink band · top ~3.7% of ranked players (population est.)

CSDB Leaderboard#8895 of 58245 tracked

FaceitLevel 10 · 1,805 ELOTop 12.4% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

Rating over time

24,318Peak Premier on CSDB

1,805Peak Faceit ELO on CSDB

1Days observed since 2026-08-30

Faceit ELO

At peak — 1,805
Next: Level 10 at 2,001 — 196 to go
Reached: Level 9 · Level 8 · Level 7 · Level 6
Level 9 first seen 2026-08-30
Level 8 first seen 2026-08-30

Premier CS Rating

At peak — 24,318
Next: Red band at 25,000 — 682 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-08-30
Purple band first seen 2026-08-30

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=7,415), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 10 median
Headshot rate	40.3%	51.7%
Shot accuracy	10.0%	13.8%
Kill/death ratio	1.11	1.09
Match win rate	45.4%	48.7%

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Performance scores

Aim73

Positioning64

Utility58

0–100 skill scores via Leetify.

Recent form

STEADY46–48–6Last 10046%Win rateWLWLTLWWWL

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.3

Aggression10.0

Utility5.8

Positioning6.4

Opening Duels5.4

Clutch4.4

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 device 91% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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

Counter-strafing. Only 68% 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

Aim7.3

Positioning6.4

Utility5.8

Mechanics4.0

Opening Duels5.4

Win Impact0.0

Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.02

first ⅓ avg 0.01 → last ⅓ avg 0.03

Reaction time498ms−31ms

first ⅓ avg 529ms → last ⅓ avg 498ms

Headshot accuracy19.1%+2.9%

first ⅓ avg 16.2% → last ⅓ avg 19.1%

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

0.18Best rating — dust2 5–2

13–3Biggest win — italy

5Longest win streak

5–4In matches decided by ≤2 rounds

4Overtime games

Map breakdown

mirageBest map · 80% over 5ancientWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	22	10–12	45%	0.02
dust2	B	21	10–11	48%	0.02
cache	B	15	8–7	53%	0.01
ancient	D	11	3–8	27%	0.03
nuke	C	10	4–6	40%	-0.00
anubis	B	8	4–4	50%	0.02
mirage	S	5	4–1	80%	0.01
vertigo	—	3	1–2	33%	0.03
italy	—	1	1–0	100%	-0.00
train	—	1	0–1	0%	-0.05
overpass	—	1	0–1	0%	0.08
office	—	1	0–1	0%	0.01
boulder	—	1	1–0	100%	0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

235,528Lifetime kills

1.11K/D · Top 50% of Level 10 players

13,846Matches

45.4%Match win rate

40.3%Headshot %

10.0%Shot accuracy

33,371MVPs

4,611Hours (in match)

8,381Bombs planted

3,049Bombs defused

Most-used weapons

AK-4759,895

AWP35,810

M4A4 / M4A1-S30,120

P2000 / USP-S13,288

SSG 0810,582

Glock-189,117

Desert Eagle8,485

MP97,162

MAC-107,120

P906,246

Lifetime map wins

22,518inferno

12,747nuke

11,865dust2

6,314vertigo

3,395train

2,260office

699lake

669italy

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

Faceit stats

Combat

630Matches

53%Win rate

1.09Avg K/D

85.7ADR

38%Headshot %

Clutches & streaks

42%1v1 clutch win

20%1v2 clutch win

7Longest win streak

Recent Faceit resultsWWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	117	48%	1.14	17.4
Dust2	77	57%	1.05	15.5
Nuke	69	67%	1.23	17.5
Ancient	51	65%	1.10	16.1
Anubis	42	29%	1.01	17.0
Cache	28	39%	0.97	16.0
Overpass	23	57%	1.19	17.9
Mirage	22	36%	0.98	16.4

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.

18.6%Headshot accuracy

34.5%Accuracy (enemy spotted)

37.9%Spray accuracy

67.9%Counter-strafing

9.1°Preaim

487msReaction time

44.7%T opening success

58.3%CT opening success

0.55Enemies flashed / flash

5.7%Flash assists

10.25HE damage / grenade

9.23Flashes / match

Recommended for you

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.

27% win rate across 11 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
inferno	13–8	0.07	18%	26 Aug →
cache	11–13	-0.01	21%	26 Aug →
ancient	13–10	0.10	16%	25 Aug →
ancient	8–13	-0.04	16%	25 Aug →
nuke	12–12	0.06	13%	22 Aug →
cache	6–13	0.00	23%	22 Aug →
inferno	13–11	0.01	10%	22 Aug →
cache	13–6	-0.05	23%	22 Aug →
italy	13–3	-0.00	19%	21 Aug →
cache	5–13	-0.00	13%	21 Aug →
ancient	9–13	0.08	18%	21 Aug →
dust2	7–13	-0.02	25%	21 Aug →
dust2	13–11	0.06	17%	18 Aug →
mirage	16–14	-0.05	14%	18 Aug →
train	0–13	-0.05	14%	17 Aug →
ancient	4–13	0.02	22%	17 Aug →
dust2	4–13	0.04	36%	17 Aug →
anubis	2–13	-0.02	18%	16 Aug →
anubis	13–9	0.07	14%	15 Aug →
dust2	7–13	0.02	19%	15 Aug →
dust2	5–13	0.13	17%	15 Aug →
inferno	6–13	0.08	20%	15 Aug →
cache	12–12	0.03	25%	15 Aug →
dust2	13–8	0.01	19%	15 Aug →
dust2	9–13	-0.01	25%	15 Aug →
ancient	8–13	0.16	16%	14 Aug →
dust2	5–13	-0.00	14%	14 Aug →
dust2	15–15	0.01	20%	14 Aug →
ancient	9–13	-0.01	13%	14 Aug →
dust2	5–13	0.02	25%	14 Aug →
cache	13–10	0.03	16%	13 Aug →
inferno	10–13	0.03	22%	13 Aug →
dust2	5–2	0.18	29%	13 Aug →
nuke	13–5	0.04	34%	11 Aug →
nuke	11–13	-0.04	9%	11 Aug →
mirage	13–8	0.02	9%	11 Aug →
cache	12–12	0.03	27%	11 Aug →
anubis	13–7	0.03	12%	11 Aug →
inferno	13–8	0.04	11%	10 Aug →
inferno	7–13	0.02	18%	9 Aug →
inferno	8–8	0.05	38%	9 Aug →
mirage	13–7	0.01	24%	9 Aug →
dust2	6–13	-0.05	13%	9 Aug →
inferno	5–13	0.05	27%	9 Aug →
inferno	13–5	0.12	26%	8 Aug →
dust2	13–3	0.02	16%	8 Aug →
nuke	13–9	0.02	32%	8 Aug →
cache	6–13	0.07	13%	8 Aug →
inferno	13–5	0.07	24%	8 Aug →
anubis	13–11	-0.00	16%	8 Aug →
ancient	13–6	0.10	23%	8 Aug →
anubis	5–13	-0.00	15%	8 Aug →
inferno	7–13	0.05	13%	7 Aug →
inferno	13–8	0.03	13%	7 Aug →
nuke	10–13	-0.00	11%	7 Aug →
inferno	13–7	-0.06	18%	7 Aug →
cache	13–10	-0.07	15%	7 Aug →
anubis	11–13	0.05	13%	7 Aug →
inferno	5–13	-0.00	24%	7 Aug →
cache	16–14	-0.00	16%	7 Aug →
inferno	13–10	0.00	19%	6 Aug →
inferno	16–12	0.03	20%	6 Aug →
cache	6–13	0.04	19%	6 Aug →
vertigo	13–9	0.06	23%	6 Aug →
dust2	13–6	-0.04	12%	6 Aug →
cache	13–8	-0.01	9%	6 Aug →
dust2	4–13	0.01	23%	6 Aug →
nuke	6–13	-0.06	13%	5 Aug →
dust2	1–13	-0.01	7%	5 Aug →
nuke	13–3	0.02	18%	4 Aug →
dust2	13–8	-0.02	15%	4 Aug →
cache	13–10	0.10	14%	4 Aug →
overpass	5–13	0.08	14%	3 Aug →
office	4–13	0.01	20%	3 Aug →
anubis	11–13	0.00	25%	3 Aug →
vertigo	12–12	-0.03	13%	3 Aug →
dust2	13–10	-0.01	23%	3 Aug →
dust2	13–7	-0.01	20%	3 Aug →
inferno	6–13	-0.03	8%	3 Aug →
ancient	4–13	-0.05	16%	3 Aug →
inferno	4–13	-0.06	16%	3 Aug →
nuke	7–13	-0.01	11%	3 Aug →
anubis	13–10	0.03	11%	3 Aug →
mirage	13–10	0.01	23%	3 Aug →
boulder	13–5	0.03	24%	2 Aug →
dust2	13–9	0.01	19%	2 Aug →
cache	13–5	-0.01	22%	2 Aug →
ancient	4–13	-0.00	14%	2 Aug →
dust2	13–10	0.05	14%	2 Aug →
mirage	10–13	0.08	12%	1 Aug →
inferno	4–13	-0.05	19%	1 Aug →
inferno	8–13	-0.02	12%	1 Aug →
ancient	13–5	0.08	18%	1 Aug →
cache	7–3	0.06	11%	1 Aug →
ancient	9–13	-0.06	18%	1 Aug →
nuke	13–9	-0.03	7%	1 Aug →
inferno	13–7	0.09	20%	1 Aug →
vertigo	10–13	0.06	21%	1 Aug →
nuke	8–13	-0.02	24%	1 Aug →
inferno	10–13	-0.03	12%	1 Aug →