Guitar Hero — CS2 Stats

76561199777579901[U:1:1817314173]

615Tracked matches66%Win rate2024Tracked since

488Hours in CS9Hrs last 2 wks

CSDB Rating7.5 StrongAggressive Rifler

Ladder ranks via Leetify

Performance scores

Aim92

Positioning60

Utility59

0–100 skill scores via Leetify.

Recent form

HOT56–37–7Last 10056%Win rateWLWLWWLWWW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating

Player DNA

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

Aim9.2

Aggression6.6

Utility5.9

Positioning6.0

Opening Duels3.6

Sharp aimerExcellent counter-strafingStrong CT-side openerEffective flashes

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 95% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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

Aim. Aim score of 92 — the mechanical foundation is a clear strength.

Flashes. 0.77 enemies blinded per flash — utility that consistently lands.

Areas to improve

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 55% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim9.2

Positioning6.0

Utility5.9

Mechanics8.7

Opening Duels3.6

Win Impact10.0

Composite 7.5/10 (Strong), 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 rating0.04+0.03

first ⅓ avg 0.01 → last ⅓ avg 0.04

Reaction time550ms−133ms

first ⅓ avg 682ms → last ⅓ avg 550ms

Headshot accuracy23.9%−1.3%

first ⅓ avg 25.1% → last ⅓ avg 23.9%

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

0.14Best rating — inferno 13–5

13–1Biggest win — dust2

6Longest win streak

7–7In matches decided by ≤2 rounds

1Overtime games

Map breakdown

trainBest map · 80% over 5ancientWeakest map · 40% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	20	10–10	50%	0.05
cache	B	17	9–8	53%	0.02
inferno	B	13	7–6	54%	0.04
mirage	B	10	5–5	50%	-0.00
vertigo	S	8	6–2	75%	0.02
nuke	S	8	6–2	75%	0.01
ancient	C	5	2–3	40%	0.00
train	S	5	4–1	80%	0.01
office	C	5	2–3	40%	0.01
overpass	—	4	2–2	50%	0.00
anubis	—	2	2–0	100%	0.07
italy	—	1	0–1	0%	-0.00
shelter	—	1	0–1	0%	0.02
boulder	—	1	1–0	100%	0.10

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

16,787Lifetime kills

1.45K/D · Top 10% of tracked players

787Matches

51.1%Match win rate · Top 25% of tracked players

61.7%Headshot % · Top 5% of tracked players

0.0%Shot accuracy

2,117MVPs

257Hours (in match)

995Bombs planted

307Bombs defused

Most-used weapons

AK-477,142

M4A4 / M4A1-S3,240

AWP906

Desert Eagle807

P2000 / USP-S683

Glock-18571

Galil AR499

MAG-7493

UMP-45273

SG 553252

Lifetime map wins

1,113dust2

930inferno

847nuke

627vertigo

589train

148office

17italy

12ar_shoots

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.

23.1%Headshot accuracy

39.4%Accuracy (enemy spotted)

43.1%Spray accuracy

89.1%Counter-strafing

8.8°Preaim

544msReaction time

33.7%T opening success

55.0%CT opening success

0.77Enemies flashed / flash

6.2%Flash assists

7.95HE damage / grenade

6.76Flashes / 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 33.6596% — below the 40% mark we flag

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.

40% win rate across 5 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
cache	13–11	-0.02	27%	29 Aug →
ancient	11–13	-0.06	18%	29 Aug →
vertigo	13–4	0.09	38%	29 Aug →
mirage	10–13	-0.03	17%	29 Aug →
dust2	13–1	0.11	28%	28 Aug →
cache	13–9	0.06	33%	28 Aug →
cache	11–13	0.11	25%	26 Aug →
train	13–6	0.10	19%	25 Aug →
dust2	13–11	0.03	15%	25 Aug →
vertigo	13–7	-0.01	30%	25 Aug →
inferno	4–9	0.07	21%	24 Aug →
inferno	13–5	0.14	27%	23 Aug →
dust2	5–13	0.08	18%	23 Aug →
nuke	13–10	0.10	24%	23 Aug →
cache	11–13	-0.04	18%	23 Aug →
inferno	13–11	0.04	27%	16 Aug →
vertigo	6–13	-0.04	16%	12 Aug →
cache	13–6	-0.01	32%	12 Aug →
train	9–13	-0.05	23%	12 Aug →
inferno	13–9	0.03	45%	12 Aug →
nuke	13–6	0.06	16%	5 Aug →
dust2	13–4	0.04	22%	5 Aug →
anubis	13–3	0.04	38%	2 Aug →
dust2	10–13	-0.03	19%	31 Jul →
cache	12–12	0.09	24%	31 Jul →
italy	4–13	-0.00	17%	27 Jul →
mirage	13–9	-0.05	15%	25 Jul →
inferno	13–6	0.10	15%	25 Jul →
anubis	13–11	0.09	21%	25 Jul →
vertigo	13–6	0.04	10%	25 Jul →
cache	13–5	0.11	25%	25 Jul →
office	13–5	0.05	34%	24 Jul →
dust2	12–12	-0.00	31%	24 Jul →
office	12–12	-0.02	18%	22 Jul →
vertigo	13–7	-0.01	25%	19 Jul →
nuke	13–3	-0.03	31%	19 Jul →
dust2	13–2	0.06	15%	15 Jul →
shelter	12–12	0.02	18%	14 Jul →
cache	13–9	0.03	21%	14 Jul →
ancient	13–9	0.07	27%	14 Jul →
train	13–9	0.05	30%	9 Jul →
boulder	13–5	0.10	22%	9 Jul →
inferno	6–13	-0.07	10%	4 Jul →
dust2	13–1	0.09	38%	4 Jul →
ancient	2–13	-0.05	28%	4 Jul →
nuke	13–6	0.05	28%	4 Jul →
dust2	13–2	0.12	36%	3 Jul →
inferno	13–7	0.00	36%	3 Jul →
inferno	13–1	0.05	18%	3 Jul →
dust2	14–16	0.07	26%	2 Jul →
vertigo	13–11	0.06	32%	28 Jun →
cache	9–13	0.05	33%	28 Jun →
dust2	13–4	0.05	31%	25 Jun →
inferno	10–13	-0.02	18%	20 Jun →
ancient	13–8	0.01	21%	20 Jun →
mirage	7–13	-0.06	18%	20 Jun →
mirage	13–9	0.01	24%	20 Jun →
mirage	13–7	-0.03	21%	13 Jun →
nuke	12–4	0.04	16%	12 Jun →
overpass	7–13	0.03	17%	12 Jun →
cache	0–10	-0.05	20%	6 Jun →
vertigo	13–10	0.05	23%	6 Jun →
dust2	11–13	0.07	41%	1 Jun →
inferno	11–13	0.14	20%	1 Jun →
train	13–5	-0.04	16%	25 May →
dust2	3–13	0.00	31%	24 May →
mirage	13–7	0.09	21%	24 May →
inferno	3–13	0.01	38%	24 May →
cache	11–13	-0.01	20%	23 May →
mirage	6–13	-0.04	15%	23 May →
cache	12–12	0.06	22%	8 May →
cache	13–8	0.02	13%	6 May →
cache	3–13	-0.03	15%	6 May →
cache	13–9	0.06	26%	1 May →
cache	13–3	-0.04	14%	1 May →
cache	13–7	0.01	15%	1 May →
nuke	12–12	0.00	35%	22 Apr →
inferno	10–13	-0.02	18%	22 Apr →
dust2	13–10	-0.00	29%	19 Apr →
mirage	2–13	-0.05	17%	18 Apr →
dust2	5–13	0.05	28%	18 Apr →
overpass	8–13	-0.01	20%	18 Apr →
overpass	13–11	-0.01	17%	12 Apr →
dust2	13–5	-0.02	31%	11 Apr →
nuke	13–8	-0.03	32%	11 Apr →
dust2	12–12	0.06	31%	3 Apr →
office	0–13	-0.05	31%	3 Apr →
mirage	13–3	0.14	25%	3 Apr →
nuke	1–6	-0.10	43%	3 Apr →
office	9–1	0.08	20%	3 Apr →
inferno	13–3	0.02	25%	3 Apr →
dust2	3–13	0.00	38%	2 Apr →
train	13–6	0.01	24%	27 Mar →
mirage	9–13	-0.01	25%	27 Mar →
dust2	13–11	0.08	31%	25 Mar →
overpass	13–6	-0.00	32%	18 Mar →
office	0–3	0.00	33%	18 Mar →
ancient	9–13	0.04	24%	18 Mar →
vertigo	6–13	-0.00	21%	18 Mar →
dust2	10–13	0.06	23%	15 Mar →