dawg — CS2 Stats

NO76561198791972577[U:1:831706849]Steam profile ↗✓ No bans

755Tracked matches36%Win rate2025Tracked since

CSDB Rating5.1 Developing

WingmanGold Nova II

Ladder ranks via Leetify

Performance scores

Aim56

Positioning56

Utility61

0–100 skill scores via Leetify.

Recent form

COLD50–45–5Last 10050%Win rateLLLLWLLWLW

Last 10 vs previous 10: +10pp win rate · -0.00 avg rating

Player DNA

Aim5.6

Aggression9.4

Utility6.1

Positioning5.6

Opening Duels4.4

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 sh1ro 89% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: 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. 633ms 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

Positioning5.6

Utility6.1

Mechanics6.4

Opening Duels4.4

Win Impact0.2

Composite 5.1/10 (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 rating0.02+0.02

first ⅓ avg 0.00 → last ⅓ avg 0.02

Reaction time625ms+0ms

first ⅓ avg 624ms → last ⅓ avg 625ms

Headshot accuracy28.2%+3.1%

first ⅓ avg 25.1% → last ⅓ avg 28.2%

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

0.24Best rating — vertigo 13–4

13–0Biggest win — train

7Longest win streak

L4Current streak

6–7In matches decided by ≤2 rounds

5Overtime games

Map breakdown

nukeBest map · 64% over 14cacheWeakest map · 31% over 16

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	18	7–11	39%	0.02
cache	D	16	5–11	31%	0.01
nuke	A	14	9–5	64%	0.02
mirage	C	12	5–7	42%	0.03
dust2	B	10	5–5	50%	0.03
ancient	A	7	4–3	57%	0.03
anubis	A	7	4–3	57%	0.03
train	A	7	4–3	57%	-0.00
vertigo	—	4	3–1	75%	0.07
overpass	—	3	3–0	100%	0.03
boulder	—	1	1–0	100%	0.01
shelter	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

29.1%Headshot accuracy

28.6%Accuracy (enemy spotted)

31.1%Spray accuracy

78.9%Counter-strafing

12.7°Preaim

633msReaction time

40.8%T opening success

54.1%CT opening success

0.44Enemies flashed / flash

6.2%Flash assists

11.59HE damage / grenade

10.80Flashes / 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 12.7192° — above the 12° mark we flag
Aim Training →
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 0.4447 — below the 0.5 mark we flag
Grenade Lineups →

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.

31% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
nuke	11–13	0.04	31%	16 Aug →
inferno	13–16	0.03	43%	16 Aug →
nuke	3–13	-0.02	34%	22 Jul →
cache	10–13	0.02	20%	22 Jul →
inferno	13–8	0.17	29%	21 Jul →
nuke	9–13	-0.05	15%	21 Jul →
inferno	10–13	0.05	32%	18 Jul →
overpass	6–1	-0.03	40%	18 Jul →
mirage	10–13	0.02	35%	18 Jul →
inferno	13–3	-0.03	42%	18 Jul →
cache	8–13	0.05	33%	18 Jul →
dust2	8–13	0.02	33%	18 Jul →
inferno	11–13	0.03	45%	17 Jul →
mirage	13–7	0.07	28%	17 Jul →
cache	9–13	0.03	24%	17 Jul →
cache	15–15	0.01	19%	14 Jul →
nuke	13–9	-0.01	32%	14 Jul →
dust2	8–13	0.03	23%	13 Jul →
inferno	6–13	-0.03	20%	13 Jul →
inferno	8–13	0.05	27%	13 Jul →
ancient	2–13	0.00	22%	13 Jul →
anubis	13–7	0.05	38%	13 Jul →
ancient	13–10	0.06	27%	13 Jul →
nuke	13–3	0.08	28%	12 Jul →
cache	9–13	-0.03	24%	12 Jul →
anubis	15–15	0.08	19%	12 Jul →
mirage	9–13	0.03	39%	12 Jul →
dust2	6–13	0.02	25%	12 Jul →
mirage	13–10	0.06	30%	12 Jul →
dust2	13–2	0.03	24%	12 Jul →
boulder	13–1	0.01	21%	12 Jul →
shelter	8–13	-0.05	16%	12 Jul →
vertigo	13–1	0.03	13%	12 Jul →
anubis	0–2	-0.03	0%	12 Jul →
dust2	7–13	0.05	24%	10 Jul →
mirage	13–5	0.08	36%	10 Jul →
ancient	9–13	0.00	25%	10 Jul →
mirage	12–12	0.06	24%	5 Jul →
dust2	10–9	0.07	40%	5 Jul →
inferno	13–4	0.01	27%	5 Jul →
cache	13–6	0.03	26%	5 Jul →
mirage	6–13	-0.09	29%	4 Jul →
inferno	13–11	0.04	31%	3 Jul →
nuke	13–6	-0.01	28%	29 Jun →
dust2	13–11	-0.04	16%	29 Jun →
inferno	11–13	0.02	17%	22 Jun →
ancient	13–4	0.02	19%	22 Jun →
cache	11–13	0.01	37%	22 Jun →
anubis	13–8	0.03	19%	21 Jun →
mirage	13–5	0.10	23%	21 Jun →
overpass	13–9	-0.01	30%	21 Jun →
ancient	13–2	0.04	29%	20 Jun →
inferno	6–13	-0.05	9%	20 Jun →
cache	9–13	-0.02	31%	26 May →
train	13–4	0.01	19%	26 May →
inferno	10–13	0.03	22%	25 May →
cache	13–11	0.07	22%	25 May →
dust2	13–10	0.04	39%	25 May →
dust2	13–7	0.11	40%	25 May →
inferno	13–7	0.03	28%	25 May →
vertigo	13–4	0.24	25%	21 May →
vertigo	13–3	0.10	23%	21 May →
nuke	11–6	0.04	37%	20 May →
nuke	11–13	0.12	25%	20 May →
cache	6–13	0.03	26%	17 May →
nuke	8–13	0.05	39%	16 May →
mirage	13–2	0.14	13%	16 May →
inferno	13–2	0.09	33%	16 May →
nuke	13–8	0.11	31%	16 May →
cache	8–13	0.01	17%	14 May →
cache	13–8	0.09	29%	12 May →
dust2	6–13	-0.01	26%	8 May →
overpass	13–8	0.12	26%	8 May →
ancient	13–8	0.11	28%	8 May →
cache	13–5	0.05	19%	30 Apr →
cache	10–13	-0.08	18%	29 Apr →
cache	13–1	0.03	28%	29 Apr →
cache	7–13	-0.09	27%	29 Apr →
train	5–13	-0.02	19%	27 Apr →
mirage	3–13	-0.06	36%	26 Apr →
anubis	13–3	0.07	20%	25 Apr →
anubis	13–3	0.03	36%	25 Apr →
train	13–2	0.05	19%	25 Apr →
nuke	13–8	-0.01	24%	24 Apr →
mirage	6–13	-0.03	33%	24 Apr →
nuke	13–11	-0.00	35%	24 Apr →
train	13–0	0.06	15%	24 Apr →
vertigo	12–12	-0.07	17%	24 Apr →
train	5–13	-0.09	39%	24 Apr →
anubis	6–13	-0.02	18%	22 Apr →
train	10–13	-0.02	29%	22 Apr →
train	13–5	-0.00	29%	22 Apr →
mirage	13–16	-0.03	21%	21 Apr →
nuke	13–11	-0.07	23%	21 Apr →
inferno	15–15	-0.02	23%	21 Apr →
inferno	13–9	0.00	23%	21 Apr →
nuke	13–10	-0.03	23%	21 Apr →
inferno	8–13	0.01	20%	21 Apr →
inferno	11–13	0.01	22%	21 Apr →
ancient	8–13	-0.05	22%	21 Apr →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

500 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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