Dawg — CS2 Stats

RU76561199062628030[U:1:1102362302]Steam profile ↗1 game ban

2,134Tracked matches26%Win rate2023Tracked since

4,290Hours in CS1Hrs last 2 wks

CSDB Rating4.9 DevelopingSupport

FaceitLevel 8 · 1,551 ELOTop 31.2% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim61

Positioning52

Utility72

0–100 skill scores via Leetify.

Recent form

COLD31–57–12Last 10031%Win rateLTLLLLWLLL

Last 10 vs previous 10: -30pp win rate · -0.02 avg rating

Player DNA

Primary style: Support — Utility contribution leads the profile while opening activity stays low.

Aim6.1

Aggression2.7

Utility7.2

Positioning5.2

Opening Duels0.2

Clutch4.6

Strong 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 NiKo 82% playstyle similarity

Most alike: positioning profile, utility contribution.

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

T-side openings. Opening success drops from 46% on CT to 16% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 624ms 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

Aim6.1

Positioning5.2

Utility7.2

Mechanics7.0

Opening Duels2.0

Win Impact0.0

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.01

first ⅓ avg 0.03 → last ⅓ avg 0.04

Reaction time631ms−1ms

first ⅓ avg 632ms → last ⅓ avg 631ms

Headshot accuracy25.7%+6.6%

first ⅓ avg 19.1% → last ⅓ avg 25.7%

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 — dust2 13–7

13–2Biggest win — nuke

5Longest win streak

4–5In matches decided by ≤2 rounds

3Overtime games

Map breakdown

anubisBest map · 71% over 7cacheWeakest map · 0% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	36	8–28	22%	0.04
ancient	C	17	6–11	35%	0.05
inferno	D	11	1–10	9%	0.03
mirage	B	11	5–6	45%	0.03
nuke	A	9	5–4	56%	0.05
anubis	S	7	5–2	71%	0.01
cache	D	7	0–7	0%	0.03
train	—	2	1–1	50%	-0.04

Across the last 100 tracked matches.

Lifetime stats

44,996Lifetime kills

1.08K/D · Top 50% of tracked players

2,416Matches

44.7%Match win rate

49.2%Headshot % · Top 50% of tracked players

0.3%Shot accuracy

6,093MVPs

879Hours (in match)

2,061Bombs planted

573Bombs defused

Most-used weapons

AK-4717,305

M4A4 / M4A1-S9,288

P2000 / USP-S2,459

Glock-182,175

MAC-102,095

Desert Eagle1,934

MP91,538

AWP1,355

MAG-7707

Knife625

Lifetime map wins

5,314dust2

2,748nuke

2,138inferno

2,090vertigo

747train

37office

13ar_shoots

7ar_baggage

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

Faceit stats

Combat

340Matches

54%Win rate

1.06Avg K/D

84.7ADR

45%Headshot %

Clutches & streaks

43%1v1 clutch win

25%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	100	53%	1.11	16.0
Vertigo	63	63%	1.04	15.9
Anubis	51	57%	1.01	16.4
Dust2	43	56%	1.08	16.0
Nuke	26	50%	1.16	17.9
Ancient	19	53%	1.01	15.7
Inferno	18	33%	0.87	15.4
Overpass	17	41%	0.94	14.5

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.

24.3%Headshot accuracy

30.8%Accuracy (enemy spotted)

31.1%Spray accuracy

81.4%Counter-strafing

11.2°Preaim

624msReaction time

15.7%T opening success

45.7%CT opening success

0.71Enemies flashed / flash

7.9%Flash assists

9.81HE damage / grenade

21.04Flashes / 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 15.691% — 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.

0% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
inferno	8–13	0.02	40%	26 Aug →
dust2	12–12	0.07	36%	21 Aug →
mirage	8–13	0.09	20%	1 Aug →
dust2	4–13	-0.01	25%	1 Aug →
inferno	5–13	0.03	23%	24 Jul →
dust2	1–13	-0.03	17%	24 Jul →
anubis	13–6	-0.05	23%	21 Jul →
dust2	10–13	-0.02	22%	21 Jul →
ancient	4–13	0.00	16%	21 Jul →
ancient	1–4	0.11	64%	21 Jul →
mirage	4–13	0.00	26%	20 Jul →
inferno	13–10	-0.05	13%	20 Jul →
ancient	13–5	0.01	41%	20 Jul →
cache	6–13	-0.00	30%	20 Jul →
inferno	11–13	-0.02	26%	20 Jul →
dust2	9–13	0.13	27%	19 Jul →
dust2	13–9	0.13	25%	19 Jul →
nuke	13–11	0.11	24%	19 Jul →
nuke	12–12	0.03	21%	18 Jul →
cache	7–13	0.08	27%	18 Jul →
nuke	6–13	0.04	16%	17 Jul →
dust2	12–12	0.18	23%	17 Jul →
dust2	9–13	0.11	28%	16 Jul →
inferno	10–13	-0.01	21%	15 Jul →
dust2	6–13	-0.00	22%	15 Jul →
cache	3–13	0.02	10%	15 Jul →
mirage	3–13	0.03	29%	15 Jul →
mirage	3–13	0.10	25%	13 Jul →
ancient	13–7	0.10	23%	13 Jul →
nuke	13–7	-0.01	25%	12 Jul →
ancient	8–13	-0.05	19%	12 Jul →
nuke	13–6	0.00	41%	12 Jul →
dust2	12–12	0.14	21%	11 Jul →
ancient	4–13	0.04	22%	11 Jul →
cache	5–13	0.08	23%	11 Jul →
ancient	5–13	0.05	18%	11 Jul →
dust2	6–13	0.00	31%	11 Jul →
dust2	9–13	0.00	16%	11 Jul →
mirage	7–13	0.03	27%	11 Jul →
dust2	15–15	0.04	30%	10 Jul →
cache	8–13	0.09	24%	10 Jul →
mirage	13–4	0.04	15%	10 Jul →
inferno	2–13	0.03	32%	10 Jul →
mirage	13–7	-0.02	21%	10 Jul →
cache	5–13	-0.04	35%	10 Jul →
nuke	13–2	0.04	24%	10 Jul →
ancient	13–10	0.02	29%	10 Jul →
dust2	3–13	-0.00	26%	9 Jul →
inferno	9–13	0.01	18%	9 Jul →
nuke	2–13	0.08	29%	9 Jul →
anubis	13–9	0.04	30%	8 Jul →
dust2	13–8	0.06	19%	8 Jul →
dust2	13–7	0.20	28%	8 Jul →
ancient	13–11	0.07	28%	6 Jul →
ancient	13–7	0.07	12%	6 Jul →
inferno	3–13	0.08	15%	6 Jul →
dust2	13–10	0.05	17%	6 Jul →
ancient	12–12	0.05	19%	4 Jul →
dust2	2–13	-0.01	25%	4 Jul →
dust2	9–13	0.15	17%	4 Jul →
dust2	0–13	0.07	35%	3 Jul →
anubis	8–13	0.01	11%	3 Jul →
ancient	12–12	0.17	28%	3 Jul →
inferno	1–13	0.00	17%	3 Jul →
dust2	1–13	-0.11	17%	2 Jul →
train	7–13	-0.07	32%	2 Jul →
dust2	2–13	-0.07	24%	2 Jul →
nuke	16–13	0.08	22%	2 Jul →
mirage	14–16	0.02	12%	1 Jul →
dust2	9–2	-0.06	16%	1 Jul →
dust2	9–13	-0.00	14%	1 Jul →
anubis	13–8	0.03	12%	1 Jul →
ancient	13–8	-0.00	22%	1 Jul →
dust2	5–13	-0.03	8%	1 Jul →
dust2	13–5	0.08	20%	1 Jul →
mirage	13–8	0.00	23%	1 Jul →
dust2	7–13	0.10	18%	1 Jul →
ancient	11–13	0.05	29%	1 Jul →
mirage	13–11	-0.02	19%	30 Jun →
dust2	11–13	-0.05	24%	30 Jun →
anubis	13–5	0.01	27%	29 Jun →
dust2	8–13	0.01	21%	28 Jun →
dust2	6–13	0.00	17%	28 Jun →
dust2	13–8	0.02	21%	28 Jun →
ancient	10–13	0.16	18%	28 Jun →
dust2	13–10	0.07	24%	28 Jun →
dust2	12–12	0.05	26%	27 Jun →
dust2	12–12	0.04	34%	27 Jun →
inferno	9–13	0.08	24%	27 Jun →
anubis	13–11	-0.06	16%	27 Jun →
dust2	7–13	0.07	17%	27 Jun →
ancient	5–13	-0.00	20%	27 Jun →
anubis	7–13	0.11	14%	26 Jun →
nuke	12–12	0.05	19%	26 Jun →
train	13–10	-0.02	18%	26 Jun →
dust2	0–13	-0.03	19%	25 Jun →
mirage	13–5	0.05	17%	25 Jun →
ancient	11–13	-0.02	10%	25 Jun →
cache	12–12	0.02	13%	25 Jun →
inferno	12–12	0.13	17%	25 Jun →