󠀡󠀡foolish fellow — CS2 Stats

UA76561198304044667[U:1:343778939]Steam profile ↗✓ No bans

1,040Tracked matches43%Win rate2021Tracked since

982Hours in CS

CSDB Rating4.2 Developing

Ladder ranks via Leetify

Performance scores

Aim48

Positioning46

Utility46

0–100 skill scores via Leetify.

Recent form

STEADY41–55–4Last 10041%Win rateLWLLWTLWWL

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

Aim4.8

Aggression4.8

Utility4.6

Positioning4.6

Opening Duels0.8

Clutch2.8

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 NiKo 82% 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. 617ms 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

Aim4.8

Positioning4.6

Utility4.6

Mechanics5.7

Opening Duels0.8

Win Impact2.6

Composite 4.2/10 (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-0.04+0.00

first ⅓ avg -0.04 → last ⅓ avg -0.04

Reaction time627ms−52ms

first ⅓ avg 679ms → last ⅓ avg 627ms

Headshot accuracy22.1%+3.7%

first ⅓ avg 18.4% → last ⅓ avg 22.1%

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

0.10Best rating — cache 13–9

13–1Biggest win — nuke

6Longest win streak

6–9In matches decided by ≤2 rounds

5Overtime games

Map breakdown

dust2Best map · 59% over 17nukeWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	17	10–7	59%	-0.03
cache	B	16	8–8	50%	-0.02
inferno	C	15	6–9	40%	-0.04
mirage	C	13	5–8	38%	-0.02
nuke	D	11	3–8	27%	-0.06
ancient	D	9	3–6	33%	-0.04
anubis	B	6	3–3	50%	-0.02
train	—	4	2–2	50%	-0.01
overpass	—	3	0–3	0%	-0.06
vertigo	—	3	1–2	33%	-0.04
boulder	—	2	0–2	0%	-0.01
office	—	1	0–1	0%	-0.04

Across the last 100 tracked matches.

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

Lifetime stats

29,436Lifetime kills

1.07K/D · Top 50% of tracked players

1,588Matches

44.5%Match win rate

56.4%Headshot % · Top 25% of tracked players

5.3%Shot accuracy

2,890MVPs

982Hours (in match)

1,928Bombs planted

396Bombs defused

Most-used weapons

AK-4713,695

M4A4 / M4A1-S3,595

P2000 / USP-S1,636

AWP1,622

Desert Eagle1,539

MP91,148

Glock-181,063

MAC-10657

Galil AR487

P250416

Lifetime map wins

3,385dust2

2,317inferno

1,539nuke

718train

680vertigo

43office

20cbble

13aztec

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

Faceit stats

Combat

180Matches

52%Win rate

0.93Avg K/D

69.7ADR

48%Headshot %

Clutches & streaks

34%1v1 clutch win

14%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	39	56%	0.96	13.7
Inferno	31	61%	0.97	15.0
Nuke	21	52%	0.85	12.3
Ancient	20	50%	0.82	12.0
Anubis	19	47%	0.96	14.0
Dust2	19	42%	0.89	14.3
Train	10	30%	1.00	15.9

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.

23.4%Headshot accuracy

26.8%Accuracy (enemy spotted)

30.5%Spray accuracy

75.5%Counter-strafing

11.6°Preaim

617msReaction time

32.0%T opening success

34.7%CT opening success

0.54Enemies flashed / flash

2.9%Flash assists

5.78HE damage / grenade

7.77Flashes / 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
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 31.9769% — below the 40% mark we flag

Spend your practice time on Nuke

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.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	11–13	-0.00	25%	27 Aug →
nuke	13–1	-0.07	4%	27 Aug →
anubis	6–13	0.01	28%	26 Aug →
overpass	3–13	-0.11	13%	17 Aug →
dust2	13–9	-0.12	33%	17 Aug →
overpass	12–12	-0.04	40%	9 Aug →
train	11–13	-0.04	22%	9 Aug →
inferno	13–1	-0.04	6%	9 Aug →
dust2	13–9	-0.03	14%	9 Aug →
vertigo	5–13	-0.05	36%	9 Aug →
train	11–13	-0.03	39%	2 Aug →
vertigo	13–10	0.02	26%	2 Aug →
mirage	3–13	-0.06	27%	2 Aug →
cache	10–13	-0.06	19%	2 Aug →
ancient	13–6	-0.02	23%	2 Aug →
nuke	13–11	0.00	34%	30 Jul →
inferno	9–13	-0.03	27%	30 Jul →
ancient	4–13	-0.03	13%	30 Jul →
anubis	13–6	-0.03	28%	25 Jul →
dust2	11–13	-0.02	29%	25 Jul →
nuke	5–13	-0.07	14%	24 Jul →
cache	13–2	0.04	24%	23 Jul →
mirage	4–13	0.01	24%	23 Jul →
boulder	6–13	0.03	28%	16 Jul →
cache	13–9	0.10	27%	16 Jul →
inferno	12–12	-0.05	19%	13 Jul →
vertigo	10–13	-0.09	9%	13 Jul →
nuke	0–13	-0.14	22%	12 Jul →
cache	13–2	0.00	11%	12 Jul →
ancient	13–4	-0.03	15%	12 Jul →
cache	3–13	-0.07	13%	11 Jul →
anubis	2–13	-0.05	15%	11 Jul →
mirage	6–13	-0.08	24%	11 Jul →
dust2	13–10	0.02	19%	11 Jul →
inferno	13–6	-0.06	23%	11 Jul →
boulder	11–13	-0.04	27%	10 Jul →
inferno	9–13	-0.07	23%	10 Jul →
ancient	6–13	0.01	22%	10 Jul →
dust2	13–4	0.01	20%	10 Jul →
mirage	13–5	0.04	14%	10 Jul →
nuke	3–13	0.03	25%	10 Jul →
dust2	13–7	0.05	18%	3 Jul →
mirage	7–13	-0.06	18%	30 Jun →
dust2	13–8	-0.01	38%	30 Jun →
nuke	5–13	-0.08	8%	29 Jun →
cache	8–13	-0.03	33%	29 Jun →
inferno	13–10	0.02	13%	26 Jun →
mirage	8–13	-0.01	20%	26 Jun →
inferno	13–7	-0.03	26%	25 Jun →
dust2	12–12	-0.03	26%	25 Jun →
cache	13–3	-0.07	20%	25 Jun →
office	9–13	-0.04	41%	25 Jun →
nuke	5–6	-0.01	37%	25 Jun →
mirage	13–7	-0.06	28%	25 Jun →
nuke	3–13	-0.16	19%	25 Jun →
inferno	13–2	0.02	21%	25 Jun →
dust2	13–16	-0.07	12%	25 Jun →
mirage	11–13	-0.01	22%	25 Jun →
inferno	11–13	-0.03	18%	25 Jun →
dust2	13–10	-0.00	21%	24 Jun →
inferno	8–13	-0.08	11%	24 Jun →
overpass	10–13	-0.03	28%	24 Jun →
ancient	8–13	-0.02	25%	24 Jun →
cache	13–2	0.01	22%	24 Jun →
dust2	13–11	-0.05	16%	24 Jun →
dust2	13–10	-0.05	16%	23 Jun →
inferno	13–11	-0.03	19%	23 Jun →
train	13–9	0.01	17%	23 Jun →
cache	13–10	-0.09	18%	23 Jun →
nuke	7–13	-0.04	29%	23 Jun →
anubis	13–4	-0.00	24%	23 Jun →
dust2	13–4	-0.06	14%	22 Jun →
mirage	11–13	-0.04	14%	22 Jun →
cache	11–13	-0.08	23%	22 Jun →
nuke	5–13	-0.08	7%	22 Jun →
dust2	4–13	-0.06	25%	22 Jun →
mirage	13–16	-0.04	19%	22 Jun →
ancient	5–13	-0.06	10%	22 Jun →
inferno	7–13	-0.10	19%	22 Jun →
cache	13–5	-0.01	14%	21 Jun →
dust2	13–16	-0.11	14%	20 Jun →
ancient	7–1	-0.03	27%	20 Jun →
dust2	4–13	-0.06	18%	20 Jun →
ancient	6–13	-0.07	22%	20 Jun →
inferno	3–13	-0.07	12%	20 Jun →
anubis	8–13	-0.01	31%	19 Jun →
mirage	13–3	-0.00	15%	19 Jun →
cache	13–1	0.04	16%	19 Jun →
mirage	13–6	0.02	21%	19 Jun →
dust2	9–13	-0.00	25%	14 Jun →
anubis	16–14	-0.03	14%	14 Jun →
inferno	4–13	-0.09	26%	14 Jun →
ancient	6–13	-0.09	8%	14 Jun →
nuke	13–16	-0.04	26%	14 Jun →
cache	8–13	-0.03	13%	14 Jun →
mirage	13–11	-0.04	20%	14 Jun →
train	13–10	0.01	17%	13 Jun →
cache	12–12	-0.01	15%	13 Jun →
inferno	9–13	0.01	23%	12 Jun →
cache	9–13	-0.06	13%	10 Jun →