SlumCut — CS2 Stats

AU76561198121582566[U:1:161316838]Steam profile ↗

585Tracked matches46%Win rate2025Tracked since

856Hours in CS6Hrs last 2 wks

CSDB Rating5.0 Developing

Ladder ranks via Leetify

Performance scores

Aim54

Positioning56

Utility55

0–100 skill scores via Leetify.

Recent form

STEADY50–45–5Last 10050%Win rateWWLLTWWWLL

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

Player DNA

Aim5.4

Aggression7.8

Utility5.5

Positioning5.6

Opening Duels3.1

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 88% playstyle similarity

Most alike: opening-duel success, 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

Reaction time. 636ms 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

Aim5.4

Positioning5.6

Utility5.5

Mechanics4.9

Opening Duels3.1

Win Impact3.8

Composite 5.0/10 (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 rating0.02−0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time629ms−60ms

first ⅓ avg 689ms → last ⅓ avg 629ms

Headshot accuracy20.1%+1.7%

first ⅓ avg 18.4% → last ⅓ avg 20.1%

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

0.17Best rating — train 13–4

13–1Biggest win — vertigo

7Longest win streak

W2Current streak

8–8In matches decided by ≤2 rounds

Map breakdown

overpassBest map · 80% over 5cacheWeakest map · 38% over 13

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	18	10–8	56%	0.04
cache	C	13	5–8	38%	0.02
mirage	B	13	7–6	54%	-0.00
inferno	B	11	5–6	45%	0.02
train	C	9	4–5	44%	0.04
nuke	C	9	4–5	44%	0.02
office	A	9	5–4	56%	0.05
overpass	S	5	4–1	80%	0.03
vertigo	S	5	4–1	80%	0.04
anubis	—	2	1–1	50%	0.03
ancient	—	2	0–2	0%	-0.02
italy	—	2	1–1	50%	0.06
shelter	—	1	0–1	0%	-0.03
boulder	—	1	0–1	0%	-0.00

Across the last 100 tracked matches.

Lifetime stats

18,943Lifetime kills

1.07K/D · Top 50% of tracked players

1,172Matches

47.9%Match win rate · Top 50% of tracked players

41.9%Headshot %

0.6%Shot accuracy

2,759MVPs

373Hours (in match)

756Bombs planted

371Bombs defused

Most-used weapons

AK-474,430

M4A4 / M4A1-S3,678

Galil AR1,650

AWP1,037

P2000 / USP-S1,010

Desert Eagle923

Glock-18699

FAMAS664

MP9547

SSG 08408

Lifetime map wins

2,606dust2

1,290inferno

988nuke

618train

364vertigo

193office

95italy

11bank

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

19.4%Headshot accuracy

33.3%Accuracy (enemy spotted)

35.4%Spray accuracy

72.1%Counter-strafing

11.1°Preaim

636msReaction time

36.2%T opening success

48.8%CT opening success

0.59Enemies flashed / flash

5.2%Flash assists

8.14HE damage / grenade

12.84Flashes / 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 36.2011% — 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.

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
train	8–2	0.04	50%	28 Aug →
anubis	13–5	0.05	29%	28 Aug →
nuke	8–13	0.06	17%	28 Aug →
cache	2–13	-0.03	21%	26 Aug →
nuke	12–12	0.07	11%	21 Aug →
office	13–11	0.03	41%	14 Aug →
train	13–6	0.08	28%	14 Aug →
cache	13–3	-0.01	15%	12 Aug →
nuke	4–13	-0.05	13%	12 Aug →
shelter	0–3	-0.03	17%	12 Aug →
mirage	13–8	0.03	5%	7 Aug →
cache	10–13	0.09	21%	7 Aug →
dust2	13–11	0.01	15%	6 Aug →
mirage	10–13	-0.02	15%	5 Aug →
overpass	7–13	0.07	18%	31 Jul →
cache	2–6	0.04	44%	30 Jul →
nuke	13–3	0.07	25%	30 Jul →
vertigo	13–5	0.07	16%	29 Jul →
vertigo	5–13	-0.04	19%	29 Jul →
office	1–9	0.00	33%	26 Jul →
dust2	13–9	0.03	20%	26 Jul →
dust2	13–9	0.04	20%	26 Jul →
inferno	13–11	-0.00	11%	26 Jul →
anubis	8–13	0.02	8%	25 Jul →
cache	11–13	0.01	14%	25 Jul →
inferno	8–13	-0.02	19%	25 Jul →
dust2	9–13	0.14	15%	25 Jul →
boulder	8–13	-0.00	22%	23 Jul →
vertigo	13–1	0.05	19%	18 Jul →
dust2	12–12	-0.07	22%	18 Jul →
mirage	11–13	-0.02	12%	18 Jul →
inferno	13–8	0.06	14%	18 Jul →
inferno	3–13	-0.07	12%	15 Jul →
office	13–11	0.11	28%	15 Jul →
mirage	13–7	0.07	12%	12 Jul →
inferno	13–2	0.08	23%	10 Jul →
cache	10–13	0.02	25%	10 Jul →
inferno	13–11	0.04	11%	10 Jul →
ancient	11–13	0.02	11%	10 Jul →
train	13–4	0.08	22%	9 Jul →
mirage	8–13	-0.03	15%	9 Jul →
nuke	13–4	-0.01	16%	9 Jul →
cache	6–13	-0.02	14%	7 Jul →
train	13–4	0.17	23%	7 Jul →
overpass	7–6	-0.00	19%	7 Jul →
dust2	4–13	-0.06	12%	6 Jul →
cache	13–2	0.03	14%	5 Jul →
inferno	8–13	0.05	23%	19 Jun →
train	11–13	-0.01	8%	17 Jun →
train	8–13	0.05	11%	17 Jun →
train	0–4	0.05	23%	17 Jun →
mirage	10–13	-0.04	7%	7 Jun →
vertigo	13–9	0.07	18%	6 Jun →
mirage	13–2	0.04	13%	6 Jun →
office	13–9	-0.01	9%	6 Jun →
mirage	13–8	-0.01	14%	5 Jun →
dust2	13–6	0.09	14%	5 Jun →
office	13–10	-0.01	13%	27 May →
inferno	13–11	0.03	18%	25 May →
office	9–13	0.15	39%	21 May →
cache	13–7	0.06	16%	21 May →
dust2	12–12	0.04	17%	18 May →
dust2	9–13	0.00	15%	18 May →
mirage	13–8	-0.02	13%	18 May →
italy	7–13	0.06	9%	18 May →
cache	13–3	0.12	10%	18 May →
overpass	13–7	0.07	20%	18 May →
dust2	5–13	-0.06	17%	17 May →
office	11–13	0.03	16%	17 May →
dust2	13–7	0.14	18%	16 May →
nuke	13–8	0.03	20%	8 May →
dust2	4–13	0.14	18%	8 May →
cache	9–13	0.02	21%	7 May →
dust2	1–13	-0.02	16%	7 May →
cache	13–8	0.03	16%	7 May →
dust2	13–9	0.02	13%	6 May →
mirage	13–4	0.01	11%	5 May →
inferno	12–12	-0.05	15%	5 May →
inferno	8–13	-0.03	20%	4 May →
office	11–13	0.06	25%	4 May →
cache	2–13	-0.08	7%	30 Apr →
mirage	13–7	-0.02	11%	28 Apr →
dust2	13–3	0.09	16%	28 Apr →
dust2	13–3	0.15	20%	28 Apr →
overpass	13–7	0.05	18%	28 Apr →
train	12–12	-0.05	23%	28 Apr →
overpass	13–6	-0.02	17%	25 Apr →
nuke	6–13	-0.04	29%	25 Apr →
train	1–13	-0.05	8%	24 Apr →
office	13–7	0.09	36%	24 Apr →
nuke	13–6	-0.02	22%	13 Apr →
nuke	6–13	0.04	25%	13 Apr →
mirage	11–13	0.01	29%	13 Apr →
dust2	13–2	0.00	29%	12 Apr →
ancient	10–13	-0.07	13%	9 Apr →
inferno	11–13	0.15	17%	9 Apr →
vertigo	13–4	0.05	16%	9 Apr →
mirage	6–13	-0.05	19%	30 Mar →
dust2	13–4	0.12	22%	30 Mar →
italy	13–11	0.06	9%	20 Mar →