Autumn — CS2 Stats

76561199077333494[U:1:1117067766]

555Tracked matches60%Win rate2025Tracked since

1,336Hours in CS22Hrs last 2 wks

CSDB Rating6.7 SolidAggressive Rifler

Premier CS Rating26,539Top 25% of 819 CSDB-tracked playersRed band · top ~2.3% of ranked players (population est.)

CSDB Leaderboard#1056 of 13141 tracked

FaceitLevel 7 · 1,805 ELOTop 42.3% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim85

Positioning51

Utility27

0–100 skill scores via Leetify.

Recent form

STEADY52–45–3Last 10052%Win rateWLWLLWLWLW

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

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

Aim8.5

Aggression7.8

Utility2.7

Positioning5.1

Opening Duels3.4

Clutch3.2

Sharp aimerStrong CT-side openerLimited 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 ropz 87% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution.

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 85 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 34 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 58% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 557ms 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

Aim8.5

Positioning5.1

Utility2.7

Mechanics8.0

Opening Duels3.5

Win Impact8.3

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.05

first ⅓ avg -0.03 → last ⅓ avg 0.02

Reaction time558ms−84ms

first ⅓ avg 642ms → last ⅓ avg 558ms

Headshot accuracy20.8%+5.0%

first ⅓ avg 15.7% → last ⅓ avg 20.8%

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

0.20Best rating — anubis 13–3

13–0Biggest win — anubis

5Longest win streak

11–8In matches decided by ≤2 rounds

10Overtime games

Map breakdown

mirageBest map · 69% over 16infernoWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	36	18–18	50%	0.00
anubis	A	16	10–6	63%	0.01
mirage	S	16	11–5	69%	0.00
ancient	D	13	4–9	31%	-0.02
cache	S	6	4–2	67%	0.00
inferno	D	6	1–5	17%	-0.01
nuke	—	4	4–0	100%	-0.00
overpass	—	2	0–2	0%	-0.01
train	—	1	0–1	0%	0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

28,042Lifetime kills

0.98K/D

1,552Matches

51.0%Match win rate · Top 25% of tracked players

50.3%Headshot % · Top 50% of tracked players

0.0%Shot accuracy

3,959MVPs

766Hours (in match)

2,102Bombs planted

416Bombs defused

Most-used weapons

AK-4712,884

M4A4 / M4A1-S6,179

AWP1,982

P2000 / USP-S1,631

Glock-181,052

Desert Eagle984

Galil AR601

MP9562

MAC-10532

Knife313

Lifetime map wins

5,816dust2

1,545inferno

603nuke

394train

52vertigo

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

Faceit stats

Combat

361Matches

51%Win rate

1.05Avg K/D

80.8ADR

47%Headshot %

Clutches & streaks

36%1v1 clutch win

22%1v2 clutch win

10Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	128	53%	0.98	15.2
Ancient	79	47%	1.00	14.5
Mirage	60	52%	1.11	16.1
Inferno	34	41%	1.13	16.2
Anubis	20	60%	1.25	19.1
Nuke	12	33%	1.15	16.5
Overpass	10	60%	1.01	14.5
Train	9	67%	0.93	13.3

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.

19.8%Headshot accuracy

36.3%Accuracy (enemy spotted)

41.8%Spray accuracy

86.1%Counter-strafing

8.6°Preaim

557msReaction time

29.5%T opening success

57.9%CT opening success

0.39Enemies flashed / flash

4.6%Flash assists

7.22HE damage / grenade

2.97Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.3855 — below the 0.5 mark we flag
Grenade Lineups →
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 29.4984% — 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.

17% win rate across 6 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
anubis	13–0	0.01	7%	26 Aug →
dust2	3–13	-0.04	21%	24 Aug →
anubis	13–3	0.20	32%	19 Aug →
ancient	4–13	0.01	17%	14 Aug →
mirage	9–13	0.05	16%	13 Aug →
nuke	13–9	0.04	14%	13 Aug →
dust2	3–13	-0.02	21%	9 Aug →
mirage	13–9	0.04	10%	9 Aug →
dust2	11–13	-0.10	11%	2 Aug →
anubis	13–8	-0.05	14%	1 Aug →
dust2	1–13	-0.07	29%	1 Aug →
anubis	13–2	0.10	21%	25 Jul →
dust2	13–6	0.14	22%	24 Jul →
cache	13–11	0.01	19%	23 Jul →
mirage	3–13	-0.02	23%	23 Jul →
anubis	13–5	0.13	26%	23 Jul →
cache	13–11	-0.12	11%	23 Jul →
dust2	3–13	-0.02	28%	23 Jul →
dust2	13–9	0.08	19%	22 Jul →
dust2	13–4	0.14	22%	22 Jul →
cache	2–13	0.02	19%	19 Jul →
dust2	13–7	0.06	23%	19 Jul →
anubis	13–2	0.08	36%	19 Jul →
anubis	13–8	0.09	17%	19 Jul →
cache	13–8	0.07	17%	18 Jul →
mirage	13–3	0.02	25%	17 Jul →
inferno	10–13	0.02	18%	17 Jul →
mirage	13–4	0.01	23%	5 Jul →
inferno	0–13	-0.05	29%	5 Jul →
mirage	4–13	-0.04	25%	29 Jun →
mirage	16–14	-0.01	26%	14 Jun →
anubis	5–13	-0.01	18%	14 Jun →
dust2	13–2	0.01	27%	13 Jun →
mirage	13–2	0.08	53%	10 Jun →
cache	13–4	0.06	23%	4 Jun →
train	6–13	0.04	21%	4 Jun →
overpass	10–13	-0.00	19%	29 May →
dust2	13–9	0.06	18%	28 May →
dust2	15–15	-0.02	13%	28 May →
dust2	13–5	-0.03	36%	25 May →
mirage	13–4	-0.01	15%	25 May →
cache	5–13	-0.02	18%	25 May →
mirage	13–11	0.01	24%	20 May →
ancient	7–13	-0.04	20%	18 May →
dust2	11–13	-0.02	15%	18 May →
dust2	13–11	0.09	21%	18 May →
dust2	13–4	0.10	19%	18 May →
dust2	5–13	-0.03	17%	17 May →
ancient	15–19	-0.04	14%	13 May →
inferno	11–13	-0.05	20%	13 May →
inferno	13–4	0.06	5%	12 May →
ancient	13–6	0.03	22%	12 May →
anubis	9–13	-0.07	27%	12 May →
ancient	7–13	0.00	8%	10 May →
ancient	13–11	0.03	19%	10 May →
dust2	16–13	0.01	19%	4 May →
dust2	8–13	-0.01	19%	4 May →
ancient	6–13	-0.05	12%	3 May →
dust2	13–2	0.09	18%	3 May →
dust2	11–13	-0.05	17%	2 May →
anubis	13–3	-0.04	15%	30 Apr →
dust2	6–13	-0.01	14%	30 Apr →
ancient	13–11	-0.05	9%	27 Apr →
dust2	16–13	0.07	14%	27 Apr →
anubis	2–13	-0.05	25%	27 Apr →
mirage	10–13	-0.02	9%	25 Apr →
dust2	13–3	0.02	12%	25 Apr →
dust2	13–16	-0.06	5%	25 Apr →
dust2	13–9	-0.03	14%	22 Apr →
mirage	5–13	-0.08	15%	22 Apr →
dust2	7–13	-0.03	10%	22 Apr →
anubis	10–13	-0.06	11%	21 Apr →
dust2	9–13	-0.05	34%	20 Apr →
anubis	13–8	-0.09	8%	20 Apr →
mirage	13–10	-0.00	12%	20 Apr →
overpass	15–15	-0.01	11%	20 Apr →
dust2	19–17	-0.04	9%	18 Apr →
ancient	13–11	-0.04	15%	18 Apr →
ancient	15–15	-0.01	24%	17 Apr →
mirage	9–2	0.02	19%	17 Apr →
mirage	13–8	-0.02	8%	15 Apr →
dust2	13–0	0.08	10%	15 Apr →
inferno	4–13	-0.06	7%	11 Apr →
dust2	14–16	-0.05	19%	11 Apr →
dust2	5–13	-0.01	23%	9 Apr →
ancient	10–13	-0.02	19%	9 Apr →
dust2	5–13	-0.03	14%	9 Apr →
nuke	13–11	0.00	18%	8 Apr →
nuke	13–2	0.02	27%	8 Apr →
dust2	13–7	0.04	41%	8 Apr →
anubis	13–4	-0.02	18%	1 Apr →
anubis	11–13	-0.06	9%	1 Apr →
dust2	13–2	-0.01	10%	1 Apr →
dust2	5–13	-0.10	21%	30 Mar →
ancient	11–13	-0.06	14%	30 Mar →
inferno	8–13	-0.01	8%	27 Mar →
anubis	5–13	-0.07	12%	27 Mar →
mirage	13–11	-0.01	11%	26 Mar →
ancient	11–13	-0.02	15%	26 Mar →
nuke	13–7	-0.07	28%	20 Mar →