STEAK!!!!! — CS2 Stats

US76561198852448668[U:1:892182940]Steam profile ↗✓ No bans

889Tracked matches39%Win rate2021Tracked since

1,482Hours in CS11Hrs last 2 wks

CSDB Rating5.8 SolidAggressive Rifler

Ladder ranks via Leetify

Performance scores

Aim72

Positioning61

Utility50

0–100 skill scores via Leetify.

Recent form

STEADY33–56–11Last 10033%Win rateLLWLWWWLWL

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating

Player DNA

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

Aim7.2

Aggression8.3

Utility5.0

Positioning6.1

Opening Duels3.8

Clutch2.6

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 ropz 90% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 604ms 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

Aim7.2

Positioning6.1

Utility5.0

Mechanics7.5

Opening Duels3.8

Win Impact1.4

Composite 5.8/10 (Solid), 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-0.00+0.00

first ⅓ avg -0.00 → last ⅓ avg -0.00

Reaction time599ms−48ms

first ⅓ avg 646ms → last ⅓ avg 599ms

Headshot accuracy19.0%−1.3%

first ⅓ avg 20.3% → last ⅓ avg 19.0%

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

0.15Best rating — anubis 13–7

13–1Biggest win — anubis

3Longest win streak

L2Current streak

5–3In matches decided by ≤2 rounds

Map breakdown

ancientBest map · 55% over 11infernoWeakest map · 9% over 11

Map	Grade	Played	Record	Win rate	Avg rating
cache	C	23	8–15	35%	-0.00
mirage	C	16	7–9	44%	0.02
nuke	D	15	2–13	13%	-0.00
dust2	D	12	4–8	33%	-0.01
inferno	D	11	1–10	9%	0.01
ancient	A	11	6–5	55%	0.00
anubis	B	11	5–6	45%	0.03
overpass	—	1	0–1	0%	-0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (9% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

63,007Lifetime kills

1.12K/D · Top 50% of tracked players

2,915Matches

33.3%Match win rate

39.1%Headshot %

14.3%Shot accuracy · Top 50% of tracked players

5,450MVPs

1,028Hours (in match)

1,704Bombs planted

428Bombs defused

Most-used weapons

AK-4715,845

M4A4 / M4A1-S12,797

AWP11,228

P2000 / USP-S3,954

Desert Eagle3,755

Glock-182,572

MAG-71,361

MP9951

SSG 08886

P250831

Lifetime map wins

3,661nuke

3,358dust2

1,743inferno

669vertigo

633train

31lake

29office

14cbble

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

Faceit stats

Combat

3Matches

67%Win rate

0.91Avg K/D

60.4ADR

52%Headshot %

Clutches & streaks

33%1v1 clutch win

100%1v2 clutch win

2Longest win streak

Recent Faceit resultsLLLWW

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

36.7%Accuracy (enemy spotted)

40.2%Spray accuracy

83.5%Counter-strafing

11.3°Preaim

604msReaction time

39.8%T opening success

50.4%CT opening success

0.57Enemies flashed / flash

6.9%Flash assists

8.63HE damage / grenade

10.78Flashes / 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 39.8113% — below the 40% mark we flag

Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

9% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	8–13	-0.03	23%	27 Aug →
inferno	0–13	-0.09	16%	27 Aug →
nuke	13–5	0.00	16%	25 Aug →
dust2	4–13	-0.06	9%	25 Aug →
ancient	13–8	0.03	11%	25 Aug →
cache	13–8	0.10	16%	25 Aug →
anubis	13–11	-0.02	17%	24 Aug →
dust2	7–13	0.09	17%	24 Aug →
ancient	13–11	-0.01	7%	24 Aug →
anubis	8–13	-0.01	15%	24 Aug →
inferno	12–12	0.04	21%	24 Aug →
inferno	1–13	0.03	20%	24 Aug →
dust2	13–11	-0.04	21%	22 Aug →
dust2	7–13	-0.03	12%	20 Aug →
inferno	12–12	0.02	20%	20 Aug →
mirage	4–13	-0.05	20%	17 Aug →
cache	2–13	-0.03	22%	12 Aug →
nuke	5–13	0.02	8%	12 Aug →
dust2	4–13	-0.08	22%	11 Aug →
mirage	13–4	-0.03	26%	5 Aug →
inferno	2–13	-0.03	27%	5 Aug →
dust2	13–8	0.04	9%	5 Aug →
dust2	2–13	-0.05	25%	5 Aug →
mirage	5–13	-0.08	17%	5 Aug →
dust2	5–13	-0.08	27%	4 Aug →
dust2	13–9	0.02	16%	4 Aug →
dust2	5–13	-0.01	27%	4 Aug →
dust2	13–10	0.06	31%	3 Aug →
mirage	9–13	0.04	22%	31 Jul →
mirage	13–9	0.09	18%	31 Jul →
mirage	13–10	0.04	21%	30 Jul →
mirage	9–13	0.06	34%	30 Jul →
mirage	9–13	-0.03	11%	30 Jul →
mirage	12–12	-0.01	18%	30 Jul →
mirage	13–8	-0.01	22%	30 Jul →
mirage	12–12	0.02	23%	29 Jul →
mirage	6–13	-0.00	12%	29 Jul →
mirage	13–6	0.04	24%	29 Jul →
mirage	13–4	0.07	12%	28 Jul →
mirage	13–5	0.07	21%	28 Jul →
mirage	7–13	0.04	23%	27 Jul →
ancient	4–13	-0.03	14%	27 Jul →
nuke	7–13	-0.06	24%	26 Jul →
ancient	9–13	-0.04	11%	25 Jul →
ancient	12–12	0.06	21%	25 Jul →
ancient	13–4	0.05	17%	25 Jul →
ancient	13–11	0.05	16%	25 Jul →
ancient	13–11	0.03	13%	20 Jul →
ancient	3–13	-0.02	13%	20 Jul →
ancient	4–13	-0.06	28%	20 Jul →
anubis	13–7	0.15	18%	20 Jul →
anubis	13–2	0.10	19%	20 Jul →
anubis	6–13	0.04	24%	18 Jul →
anubis	6–13	-0.03	28%	18 Jul →
anubis	10–13	0.03	14%	17 Jul →
anubis	13–3	0.05	13%	17 Jul →
nuke	10–13	-0.03	23%	14 Jul →
anubis	11–13	0.01	18%	14 Jul →
anubis	13–1	0.07	5%	14 Jul →
anubis	9–13	-0.02	11%	14 Jul →
ancient	13–8	-0.04	26%	11 Jul →
cache	13–9	0.01	32%	11 Jul →
nuke	7–13	-0.02	19%	11 Jul →
nuke	13–8	-0.01	20%	10 Jul →
nuke	9–13	0.06	24%	10 Jul →
nuke	12–12	0.06	13%	8 Jul →
nuke	10–13	-0.01	10%	8 Jul →
nuke	7–13	-0.00	17%	7 Jul →
nuke	7–13	-0.03	14%	7 Jul →
nuke	10–13	-0.04	5%	7 Jul →
nuke	4–13	0.02	18%	7 Jul →
nuke	8–13	-0.04	15%	6 Jul →
nuke	10–13	0.04	28%	6 Jul →
cache	5–13	0.05	32%	6 Jul →
cache	13–6	0.05	22%	6 Jul →
cache	10–13	-0.02	13%	6 Jul →
cache	0–13	-0.06	18%	4 Jul →
cache	13–10	-0.02	19%	4 Jul →
cache	2–11	-0.05	7%	4 Jul →
overpass	6–13	-0.06	10%	4 Jul →
cache	12–12	-0.03	26%	3 Jul →
cache	13–8	0.00	17%	3 Jul →
cache	12–12	-0.02	24%	3 Jul →
cache	12–12	0.00	14%	3 Jul →
cache	12–12	0.06	34%	3 Jul →
cache	13–10	0.03	22%	3 Jul →
cache	12–12	-0.01	26%	3 Jul →
cache	9–13	-0.01	19%	2 Jul →
cache	13–5	0.02	13%	30 Jun →
cache	6–13	-0.01	15%	30 Jun →
cache	1–13	-0.10	42%	30 Jun →
cache	13–10	-0.02	16%	30 Jun →
cache	3–13	-0.00	31%	30 Jun →
cache	6–13	-0.03	21%	30 Jun →
inferno	7–13	-0.04	24%	26 Jun →
inferno	11–13	-0.05	16%	25 Jun →
inferno	9–13	0.02	24%	25 Jun →
inferno	13–10	0.01	36%	24 Jun →
inferno	11–13	0.05	17%	23 Jun →
inferno	9–13	0.13	16%	23 Jun →