COWBOYROBBONEIGOR — CS2 Stats

76561198203231613[U:1:242965885]✓ No bans

909Tracked matches39%Win rate2020Tracked since

1,204Hours in CS

CSDB Rating5.6 SolidHybrid Rifler

Ladder ranks via Leetify

Performance scores

Aim64

Positioning55

Utility58

0–100 skill scores via Leetify.

Recent form

COLD42–51–7Last 10042%Win rateLLLLWWWLLL

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

Player DNA

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

Aim6.4

Aggression7.3

Utility5.8

Positioning5.5

Opening Duels3.6

Strong CT-side openerEffective flashesLimited utility dependence

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 90% playstyle similarity

Most alike: opening-fight frequency, 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

Strengths

Flashes. 0.79 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 57% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 609ms 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

Aim6.4

Positioning5.5

Utility5.8

Mechanics7.8

Opening Duels3.6

Win Impact1.4

Composite 5.6/10 (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-0.01−0.02

first ⅓ avg 0.01 → last ⅓ avg -0.01

Reaction time607ms−25ms

first ⅓ avg 633ms → last ⅓ avg 607ms

Headshot accuracy20.2%+3.3%

first ⅓ avg 16.9% → last ⅓ avg 20.2%

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 — mirage 13–0

13–0Biggest win — anubis

5Longest win streak

L4Current streak

11–10In matches decided by ≤2 rounds

14Overtime games

Map breakdown

ancientBest map · 56% over 18infernoWeakest map · 0% over 5

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	20	11–9	55%	0.00
mirage	B	19	9–10	47%	0.00
ancient	A	18	10–8	56%	-0.01
anubis	C	16	6–10	38%	-0.01
overpass	D	12	3–9	25%	-0.01
cache	D	6	2–4	33%	-0.01
inferno	D	5	0–5	0%	0.00
dust2	—	4	1–3	25%	-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

59,157Lifetime kills

1.11K/D · Top 50% of tracked players

2,625Matches

42.9%Match win rate

37.2%Headshot %

16.3%Shot accuracy · Top 25% of tracked players

6,571MVPs

1,204Hours (in match)

2,652Bombs planted

967Bombs defused

Most-used weapons

AWP15,678

AK-4715,560

M4A4 / M4A1-S7,147

Desert Eagle3,299

P2000 / USP-S3,101

Glock-182,269

UMP-451,216

Tec-91,155

P250869

MAC-10867

Lifetime map wins

5,474dust2

3,496inferno

1,473nuke

722vertigo

487train

272cbble

31assault

21office

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.

20.3%Headshot accuracy

31.9%Accuracy (enemy spotted)

34.9%Spray accuracy

85.1%Counter-strafing

11.5°Preaim

609msReaction time

31.4%T opening success

57.2%CT opening success

0.79Enemies flashed / flash

1.5%Flash assists

12.95HE damage / grenade

4.08Flashes / 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 31.4355% — 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.

0% win rate across 5 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
cache	7–13	-0.05	28%	28 Jul →
cache	8–13	-0.04	24%	26 Jul →
anubis	9–13	0.01	17%	24 Jul →
nuke	4–13	-0.03	23%	24 Jul →
nuke	9–3	0.02	50%	22 Jul →
anubis	13–10	-0.05	18%	21 Jul →
ancient	13–11	-0.04	19%	21 Jul →
ancient	9–13	-0.04	19%	20 Jul →
anubis	11–13	-0.02	15%	20 Jul →
ancient	10–13	0.02	17%	20 Jul →
mirage	15–15	-0.01	27%	19 Jul →
ancient	13–8	0.03	15%	19 Jul →
inferno	6–13	-0.06	16%	19 Jul →
anubis	9–13	0.05	18%	19 Jul →
cache	2–13	-0.05	21%	14 Jul →
nuke	12–16	-0.04	27%	13 Jul →
nuke	13–11	0.00	20%	13 Jul →
anubis	10–13	0.03	15%	11 Jul →
ancient	2–13	-0.03	18%	11 Jul →
mirage	13–10	0.03	17%	10 Jul →
cache	13–11	-0.06	13%	9 Jul →
cache	10–13	0.06	26%	9 Jul →
anubis	15–15	0.02	13%	9 Jul →
cache	13–4	0.07	22%	9 Jul →
dust2	9–13	-0.03	20%	6 Jul →
ancient	13–5	0.03	22%	6 Jul →
mirage	13–10	-0.04	33%	6 Jul →
anubis	13–0	-0.05	14%	6 Jul →
overpass	11–13	0.04	15%	6 Jul →
ancient	2–13	-0.04	23%	5 Jul →
mirage	16–14	0.03	15%	2 Jul →
overpass	10–13	-0.05	18%	2 Jul →
overpass	8–13	-0.01	9%	1 Jul →
mirage	13–6	0.05	17%	1 Jul →
anubis	8–13	-0.02	14%	1 Jul →
overpass	15–15	0.03	14%	30 Jun →
overpass	9–13	-0.05	17%	29 Jun →
nuke	13–5	0.07	26%	29 Jun →
anubis	15–15	-0.03	25%	28 Jun →
ancient	16–13	-0.02	15%	28 Jun →
inferno	6–13	-0.01	19%	28 Jun →
mirage	3–13	-0.08	14%	28 Jun →
nuke	13–10	-0.08	13%	28 Jun →
nuke	13–8	-0.05	15%	28 Jun →
anubis	15–15	-0.03	23%	28 Jun →
ancient	16–12	0.01	14%	25 Jun →
mirage	11–13	-0.08	18%	25 Jun →
overpass	6–13	-0.06	10%	25 Jun →
nuke	15–15	-0.04	15%	23 Jun →
ancient	15–15	0.02	13%	23 Jun →
ancient	11–13	-0.08	12%	22 Jun →
ancient	13–11	-0.00	18%	22 Jun →
nuke	13–1	0.05	31%	22 Jun →
overpass	6–13	0.03	12%	21 Jun →
anubis	13–7	-0.03	16%	21 Jun →
nuke	13–16	-0.03	14%	21 Jun →
nuke	13–5	0.01	20%	21 Jun →
mirage	6–13	-0.07	18%	21 Jun →
overpass	13–3	0.06	19%	21 Jun →
mirage	9–13	-0.03	27%	21 Jun →
nuke	13–3	0.08	18%	18 Jun →
anubis	11–13	-0.04	16%	18 Jun →
mirage	13–4	0.04	20%	18 Jun →
ancient	7–13	-0.05	14%	18 Jun →
mirage	4–13	-0.02	32%	17 Jun →
anubis	13–11	0.00	10%	16 Jun →
ancient	13–7	0.03	26%	16 Jun →
nuke	13–11	0.06	33%	16 Jun →
nuke	13–11	0.11	27%	14 Jun →
overpass	13–9	0.02	11%	14 Jun →
mirage	11–13	-0.02	16%	14 Jun →
inferno	11–13	-0.03	15%	14 Jun →
mirage	13–0	0.11	9%	14 Jun →
nuke	13–7	-0.01	21%	14 Jun →
mirage	9–13	0.00	26%	14 Jun →
nuke	4–13	-0.08	6%	11 Jun →
inferno	13–16	0.04	14%	10 Jun →
overpass	13–10	0.02	13%	10 Jun →
anubis	13–11	0.03	10%	10 Jun →
dust2	13–10	-0.00	20%	10 Jun →
mirage	13–6	0.03	18%	9 Jun →
nuke	10–13	-0.02	19%	9 Jun →
mirage	13–0	0.06	18%	4 Jun →
ancient	12–3	-0.05	5%	4 Jun →
anubis	13–6	-0.02	20%	4 Jun →
ancient	13–11	0.04	14%	3 Jun →
mirage	11–13	-0.03	23%	3 Jun →
overpass	8–13	-0.06	10%	3 Jun →
mirage	11–13	0.06	15%	2 Jun →
mirage	13–11	-0.04	18%	1 Jun →
anubis	6–13	0.06	35%	1 Jun →
ancient	4–13	-0.07	8%	31 May →
nuke	6–13	-0.01	16%	31 May →
nuke	4–13	-0.02	19%	29 May →
dust2	6–13	0.00	17%	29 May →
inferno	10–13	0.08	10%	26 May →
overpass	10–13	-0.04	29%	26 May →
nuke	9–13	0.03	17%	25 May →
ancient	13–7	0.00	9%	25 May →
dust2	14–16	-0.04	13%	25 May →