rawdogski — CS2 Stats

US76561198263416005[U:1:303150277]Steam profile ↗✓ No bans

3,116Tracked matches52%Win rate2023Tracked since

CSDB Rating5.2 Developing

Premier CS Rating17,540Purple band · top ~18.3% of ranked players (population est.)

CSDB Leaderboard#26361 of 51893 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim56

Positioning46

Utility63

0–100 skill scores via Leetify.

Recent form

STEADY53–45–2Last 10053%Win rateLWWTWWLLWL

Last 10 vs previous 10: +0pp win rate · -0.03 avg rating

Player DNA

Aim5.6

Aggression5.6

Utility6.3

Positioning4.6

Opening Duels1.8

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 86% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower positioning profile; 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

T-side openings. Opening success drops from 55% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 622ms 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

Aim5.6

Positioning4.6

Utility6.3

Mechanics5.3

Opening Duels3.1

Win Impact5.6

Composite 5.2/10 (Developing), 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 rating0.00+0.01

first ⅓ avg -0.00 → last ⅓ avg 0.00

Reaction time627ms−28ms

first ⅓ avg 655ms → last ⅓ avg 627ms

Headshot accuracy13.0%+0.5%

first ⅓ avg 12.5% → 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

0.14Best rating — anubis 13–11

13–1Biggest win — mirage

7Longest win streak

11–9In matches decided by ≤2 rounds

12Overtime games

Map breakdown

dust2Best map · 65% over 17anubisWeakest map · 33% over 15

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	19	10–9	53%	0.01
dust2	S	17	11–6	65%	-0.01
mirage	A	17	10–7	59%	0.02
anubis	D	15	5–10	33%	-0.00
ancient	B	12	6–6	50%	0.00
cache	A	11	6–5	55%	-0.03
nuke	A	9	5–4	56%	-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

74Matches

49%Win rate

0.70Avg K/D

—ADR

37%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

6Longest win streak

Recent Faceit resultsLWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	13	54%	0.84	11.8
Ancient	13	31%	0.72	11.0
Vertigo	12	58%	0.83	13.1
Mirage	10	60%	0.66	11.0
Inferno	9	56%	0.67	11.0
Overpass	4	25%	0.77	13.0
Nuke	1	100%	0.94	15.0
Dust2	1	100%	0.53	9.0

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.

13.1%Headshot accuracy

38.1%Accuracy (enemy spotted)

40.1%Spray accuracy

73.9%Counter-strafing

12.2°Preaim

622msReaction time

19.5%T opening success

54.8%CT opening success

0.74Enemies flashed / flash

10.9%Flash assists

15.05HE damage / grenade

4.25Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.2221° — above the 12° mark we flag
Aim Training →
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 13.113% — below the 15% mark we flag
Aim Training →

Spend your practice time on Anubis

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

33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	7–13	-0.02	20%	30 Aug →
nuke	16–14	-0.02	15%	30 Aug →
dust2	13–9	0.05	17%	30 Aug →
ancient	15–15	-0.02	22%	30 Aug →
dust2	13–6	-0.02	13%	29 Aug →
inferno	13–6	0.10	15%	29 Aug →
mirage	11–13	-0.04	16%	21 Aug →
inferno	6–13	-0.04	20%	20 Aug →
dust2	13–11	-0.06	8%	20 Aug →
ancient	6–13	0.03	20%	19 Aug →
inferno	8–13	0.06	12%	19 Aug →
dust2	10–13	-0.03	6%	19 Aug →
cache	13–3	-0.04	26%	18 Aug →
anubis	13–11	0.14	9%	18 Aug →
inferno	13–11	0.01	7%	18 Aug →
dust2	8–13	0.03	10%	17 Aug →
dust2	13–7	0.06	13%	17 Aug →
ancient	11–13	0.03	8%	17 Aug →
ancient	13–10	-0.02	7%	16 Aug →
ancient	11–13	-0.02	10%	16 Aug →
inferno	13–9	-0.05	14%	16 Aug →
anubis	9–13	-0.01	11%	15 Aug →
dust2	8–13	0.01	8%	15 Aug →
cache	13–8	0.01	10%	15 Aug →
anubis	13–8	0.03	12%	14 Aug →
ancient	6–13	-0.01	12%	14 Aug →
inferno	13–16	-0.03	19%	13 Aug →
inferno	9–13	-0.03	13%	13 Aug →
mirage	16–14	-0.01	10%	13 Aug →
inferno	13–5	0.07	15%	12 Aug →
inferno	10–13	0.02	12%	12 Aug →
dust2	13–6	-0.01	15%	12 Aug →
cache	8–13	-0.07	6%	11 Aug →
mirage	10–13	-0.03	10%	11 Aug →
dust2	10–13	0.00	15%	11 Aug →
cache	0–13	-0.05	8%	11 Aug →
dust2	13–7	-0.01	13%	11 Aug →
nuke	7–13	-0.08	8%	11 Aug →
inferno	13–5	0.04	17%	10 Aug →
dust2	13–10	0.03	23%	10 Aug →
cache	8–13	-0.07	17%	10 Aug →
nuke	13–7	0.05	13%	10 Aug →
mirage	13–6	-0.00	13%	10 Aug →
anubis	11–13	-0.05	22%	9 Aug →
mirage	13–1	0.02	13%	9 Aug →
mirage	14–16	0.02	14%	9 Aug →
ancient	13–1	-0.01	13%	9 Aug →
anubis	9–13	-0.03	11%	9 Aug →
anubis	5–1	0.01	17%	9 Aug →
mirage	13–3	-0.00	21%	9 Aug →
cache	13–4	-0.00	10%	9 Aug →
ancient	13–5	-0.04	13%	9 Aug →
inferno	13–9	-0.01	18%	9 Aug →
cache	16–14	-0.04	10%	8 Aug →
inferno	13–2	0.03	11%	8 Aug →
cache	10–13	-0.02	15%	8 Aug →
inferno	8–13	-0.01	17%	8 Aug →
nuke	7–13	-0.03	9%	7 Aug →
ancient	16–13	-0.03	10%	7 Aug →
nuke	13–8	0.01	3%	7 Aug →
inferno	9–13	0.06	14%	7 Aug →
mirage	10–13	0.02	13%	7 Aug →
anubis	6–13	-0.06	14%	7 Aug →
inferno	16–13	-0.01	13%	6 Aug →
mirage	13–7	0.09	21%	6 Aug →
dust2	13–11	0.03	18%	6 Aug →
ancient	13–11	0.07	11%	5 Aug →
inferno	14–16	0.07	12%	5 Aug →
anubis	10–13	-0.03	14%	5 Aug →
mirage	3–13	-0.01	4%	5 Aug →
dust2	7–13	-0.05	13%	4 Aug →
anubis	13–5	-0.07	11%	3 Aug →
mirage	4–13	-0.03	14%	3 Aug →
cache	15–15	-0.02	8%	3 Aug →
dust2	13–11	-0.06	17%	2 Aug →
anubis	11–13	0.02	6%	2 Aug →
ancient	13–5	0.03	21%	1 Aug →
dust2	13–11	-0.06	18%	1 Aug →
anubis	11–13	-0.04	10%	1 Aug →
anubis	13–8	0.09	12%	1 Aug →
mirage	13–11	0.04	16%	1 Aug →
nuke	13–5	0.04	6%	31 Jul →
nuke	13–5	-0.01	14%	31 Jul →
inferno	13–16	-0.05	13%	31 Jul →
dust2	10–13	-0.08	14%	30 Jul →
mirage	13–7	-0.02	11%	30 Jul →
mirage	13–6	0.05	16%	22 Jul →
inferno	13–7	-0.02	5%	22 Jul →
nuke	10–13	-0.03	7%	21 Jul →
mirage	13–7	0.05	11%	21 Jul →
cache	13–8	-0.01	22%	21 Jul →
anubis	7–13	0.00	9%	20 Jul →
mirage	13–7	0.12	22%	20 Jul →
inferno	13–9	0.03	14%	19 Jul →
ancient	10–13	0.02	9%	17 Jul →
cache	16–12	-0.01	18%	17 Jul →
mirage	11–13	0.01	15%	15 Jul →
anubis	9–13	0.01	11%	15 Jul →
dust2	13–9	-0.05	13%	14 Jul →
anubis	7–13	-0.04	9%	14 Jul →