Rogue Dog Man — CS2 Stats

76561198045684772[U:1:85419044]

763Tracked matches46%Win rate2021Tracked since

432Hours in CS

CSDB Rating3.2 Learning

Premier CS Rating2,387Grey band · top ~89.9% of ranked players (population est.)

CSDB Leaderboard#21731 of 27756 tracked

FaceitLevel 2 · 787 ELOTop 97.9% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=338), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 2 median	Level 3 median	vs Level 3
Headshot rate	42.4%	42.1%	42.1%	meets
Shot accuracy	5.1%	12.9%	12.1%	7.0% short
Kill/death ratio	0.64	1.00	0.99	0.36 short
Match win rate	37.5%	42.9%	43.9%	6.4% short

This profile matches the typical Level 3 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim33

Positioning36

Utility54

0–100 skill scores via Leetify.

Recent form

HOT37–55–8Last 10037%Win rateWLWWWLWWLW

Last 10 vs previous 10: +50pp win rate · +0.02 avg rating

Player DNA

Aim3.3

Aggression2.2

Utility5.4

Positioning3.6

Opening Duels0.0

Clutch0.0

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 NiKo 72% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; 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. 589ms 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

Aim3.3

Positioning3.6

Utility5.4

Mechanics4.6

Opening Duels0.0

Win Impact3.8

Composite 3.2/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.01

first ⅓ avg -0.03 → last ⅓ avg -0.02

Reaction time589ms−22ms

first ⅓ avg 611ms → last ⅓ avg 589ms

Headshot accuracy13.0%−4.0%

first ⅓ avg 17.0% → last ⅓ avg 13.0%

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

0.11Best rating — train 13–5

13–1Biggest win — mirage

3Longest win streak

6–6In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 44% over 27cacheWeakest map · 28% over 18

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	33	12–21	36%	-0.02
mirage	C	27	12–15	44%	-0.04
cache	D	18	5–13	28%	-0.03
inferno	D	13	4–9	31%	-0.03
train	—	4	2–2	50%	0.03
overpass	—	3	1–2	33%	-0.03
nuke	—	2	1–1	50%	-0.02

Across the last 100 tracked matches.

Lifetime stats

14,284Lifetime kills

0.64K/D

1,249Matches

37.5%Match win rate

42.4%Headshot % · Top 50% of Level 2 players

5.1%Shot accuracy

1,127MVPs

432Hours (in match)

1,441Bombs planted

227Bombs defused

Most-used weapons

AK-473,266

M4A4 / M4A1-S2,970

Desert Eagle1,222

AWP1,208

P2000 / USP-S587

SSG 08513

Galil AR428

Negev404

FAMAS393

Tec-9352

Lifetime map wins

3,893dust2

1,804inferno

606train

299nuke

67vertigo

16office

10lake

9assault

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

Faceit stats

Combat

20Matches

30%Win rate

0.43Avg K/D

47.3ADR

32%Headshot %

Clutches & streaks

0%1v1 clutch win

33%1v2 clutch win

3Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	3	67%	0.39	7.3
Mirage	2	0%	0.61	11.0
Inferno	1	0%	0.19	3.0
Overpass	1	0%	0.71	10.0

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.

13.2%Headshot accuracy

25.8%Accuracy (enemy spotted)

26.7%Spray accuracy

70.7%Counter-strafing

10.1°Preaim

589msReaction time

24.4%T opening success

23.9%CT opening success

0.67Enemies flashed / flash

7.1%Flash assists

9.26HE damage / grenade

8.46Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 13.2301% — below the 15% mark we flag
Aim Training →
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 24.4369% — 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.

28% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–9	-0.00	15%	25 Aug →
cache	10–13	-0.03	17%	22 Aug →
mirage	13–2	-0.07	15%	22 Aug →
dust2	13–7	-0.06	4%	22 Aug →
inferno	13–6	-0.02	5%	18 Aug →
mirage	8–13	-0.06	10%	30 Jul →
dust2	13–6	0.07	23%	30 Jul →
dust2	13–5	0.08	16%	24 Jul →
mirage	8–13	-0.01	18%	24 Jul →
mirage	13–7	-0.07	7%	18 Jul →
cache	7–13	-0.03	18%	17 Jul →
dust2	13–8	0.01	11%	9 Jul →
dust2	10–13	-0.07	13%	7 Jul →
inferno	6–13	-0.07	19%	2 Jul →
cache	2–13	-0.05	4%	2 Jul →
dust2	6–13	-0.01	6%	2 Jul →
mirage	9–13	-0.09	6%	2 Jul →
cache	12–12	-0.06	10%	2 Jul →
cache	13–3	0.03	9%	1 Jul →
dust2	3–13	-0.02	13%	29 Jun →
mirage	5–13	-0.04	18%	29 Jun →
dust2	5–13	0.05	9%	26 Jun →
mirage	13–11	-0.04	12%	26 Jun →
inferno	13–7	-0.02	4%	25 Jun →
mirage	6–13	-0.06	24%	25 Jun →
dust2	8–13	-0.06	23%	25 Jun →
cache	12–12	-0.01	16%	25 Jun →
inferno	6–13	-0.01	14%	25 Jun →
mirage	13–8	-0.00	13%	25 Jun →
dust2	13–2	0.02	26%	25 Jun →
cache	6–13	-0.07	8%	21 Jun →
train	6–13	-0.01	8%	21 Jun →
dust2	13–11	-0.03	16%	21 Jun →
inferno	4–13	-0.00	3%	21 Jun →
mirage	10–13	-0.06	7%	21 Jun →
train	2–13	-0.01	17%	20 Jun →
inferno	11–13	-0.01	15%	20 Jun →
dust2	2–13	0.00	20%	20 Jun →
mirage	6–13	-0.03	10%	20 Jun →
cache	1–13	0.04	20%	20 Jun →
mirage	4–13	0.00	25%	19 Jun →
mirage	8–13	-0.03	18%	17 Jun →
dust2	13–10	-0.08	16%	17 Jun →
dust2	12–12	0.03	20%	13 Jun →
mirage	8–13	-0.10	6%	13 Jun →
inferno	13–7	-0.03	8%	13 Jun →
cache	6–13	-0.07	14%	13 Jun →
dust2	11–13	0.02	17%	13 Jun →
cache	13–8	-0.02	20%	6 Jun →
mirage	13–8	-0.03	15%	6 Jun →
dust2	8–13	-0.05	12%	6 Jun →
cache	11–13	-0.01	15%	5 Jun →
dust2	4–13	-0.04	26%	29 May →
dust2	11–13	-0.05	6%	26 May →
inferno	6–13	-0.06	10%	25 May →
cache	13–4	-0.01	15%	24 May →
cache	7–13	-0.04	16%	23 May →
dust2	10–13	-0.02	11%	23 May →
mirage	13–6	-0.07	19%	21 May →
dust2	12–12	-0.03	16%	21 May →
mirage	12–12	-0.05	8%	20 May →
cache	2–13	-0.06	18%	20 May →
overpass	13–11	-0.02	13%	20 May →
inferno	13–10	-0.05	13%	16 May →
cache	11–13	-0.10	19%	12 May →
cache	12–12	-0.02	8%	30 Apr →
cache	9–2	0.00	17%	29 Apr →
cache	13–10	-0.01	16%	29 Apr →
mirage	13–11	-0.03	23%	26 Apr →
inferno	4–13	-0.05	15%	25 Apr →
dust2	5–13	-0.09	6%	25 Apr →
mirage	13–5	-0.00	19%	25 Apr →
dust2	13–5	-0.00	21%	25 Apr →
train	13–5	0.11	21%	24 Apr →
inferno	0–7	-0.05	60%	24 Apr →
dust2	13–5	-0.01	7%	24 Apr →
dust2	9–13	-0.03	13%	24 Apr →
dust2	4–13	-0.02	10%	24 Apr →
inferno	11–13	-0.01	11%	23 Apr →
dust2	6–13	-0.10	21%	23 Apr →
train	13–7	0.02	9%	23 Apr →
mirage	12–12	-0.03	22%	21 Apr →
dust2	13–11	-0.01	23%	21 Apr →
dust2	2–13	-0.06	13%	21 Apr →
mirage	7–13	-0.04	27%	20 Apr →
mirage	13–11	-0.02	17%	18 Apr →
dust2	10–13	0.02	21%	18 Apr →
nuke	13–10	-0.00	16%	18 Apr →
inferno	4–13	-0.06	21%	18 Apr →
mirage	6–13	-0.09	7%	18 Apr →
mirage	13–10	-0.08	7%	17 Apr →
dust2	2–13	-0.09	18%	17 Apr →
overpass	9–13	-0.08	7%	17 Apr →
mirage	13–1	-0.01	15%	17 Apr →
dust2	13–7	-0.08	16%	17 Apr →
dust2	13–9	-0.06	30%	10 Apr →
overpass	7–13	0.03	19%	10 Apr →
dust2	12–12	-0.01	12%	10 Apr →
mirage	6–13	-0.01	14%	9 Apr →
nuke	8–13	-0.03	7%	9 Apr →