DeWindWaker — CS2 Stats

76561198248616230[U:1:288350502]

293Tracked matches46%Win rate2021Tracked since

CSDB Rating3.9 LearningClutch Specialist

Premier CS Rating12,194Blue band · top ~43.3% of ranked players (population est.)

WingmanMaster Guardian II

Ladder ranks via Leetify

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Performance scores

Aim50

Positioning32

Utility43

0–100 skill scores via Leetify.

Recent form

STEADY40–54–6Last 10040%Win rateWWWLWWTWLL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion well above par.

Aim5.0

Aggression2.0

Utility4.3

Positioning3.2

Opening Duels0.0

Clutch10.0

Reliable in 1v1s

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 68% 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. 667ms 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

Aim5.0

Positioning3.2

Utility4.3

Mechanics6.4

Opening Duels0.0

Win Impact3.8

Composite 3.9/10 (Learning), 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 rating-0.05+0.01

first ⅓ avg -0.06 → last ⅓ avg -0.05

Reaction time654ms−78ms

first ⅓ avg 733ms → last ⅓ avg 654ms

Headshot accuracy22.8%+0.3%

first ⅓ avg 22.4% → last ⅓ avg 22.8%

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

0.05Best rating — ancient 13–10

13–0Biggest win — ancient

3Longest win streak

W3Current streak

5–9In matches decided by ≤2 rounds

8Overtime games

Map breakdown

anubisBest map · 67% over 6infernoWeakest map · 20% over 10

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	16	7–9	44%	-0.05
cache	D	15	4–11	27%	-0.05
overpass	A	15	9–6	60%	-0.05
mirage	C	13	5–8	38%	-0.06
inferno	D	10	2–8	20%	-0.05
ancient	A	9	5–4	56%	-0.03
anubis	S	6	4–2	67%	-0.07
nuke	D	6	2–4	33%	-0.07
office	—	4	0–4	0%	-0.07
train	—	3	2–1	67%	-0.04
vertigo	—	2	0–2	0%	-0.01
rooftop	—	1	0–1	0%	-0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

8Matches

88%Win rate

1.03Avg K/D

65.8ADR

56%Headshot %

Clutches & streaks

80%1v1 clutch win

0%1v2 clutch win

4Longest win streak

Recent Faceit resultsLWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	3	100%	0.94	11.3
Dust2	2	100%	0.80	17.0
Mirage	1	0%	0.56	10.0
Nuke	1	100%	2.11	19.0
Ancient	1	100%	1.13	17.0

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.

23.2%Headshot accuracy

27.8%Accuracy (enemy spotted)

29.3%Spray accuracy

78.8%Counter-strafing

10.4°Preaim

667msReaction time

22.4%T opening success

26.1%CT opening success

0.45Enemies flashed / flash

6.6%Flash assists

6.61HE damage / grenade

8.01Flashes / 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 0.4461 — 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 22.3514% — 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.

20% win rate across 10 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
dust2	13–5	-0.05	48%	22 Jun →
cache	13–10	-0.03	30%	22 Jun →
cache	13–6	-0.06	11%	19 Jun →
train	7–13	-0.06	15%	19 Jun →
ancient	13–10	0.05	31%	12 Jun →
inferno	9–0	0.00	0%	11 Jun →
cache	12–12	-0.14	0%	11 Jun →
overpass	13–8	-0.02	24%	11 Jun →
ancient	7–13	-0.09	20%	31 May →
dust2	5–13	-0.06	34%	31 May →
anubis	11–13	-0.12	19%	31 May →
mirage	12–16	-0.07	31%	29 May →
ancient	8–13	-0.07	18%	29 May →
anubis	7–13	-0.03	20%	29 May →
overpass	6–13	-0.05	25%	29 May →
nuke	13–11	-0.06	20%	29 May →
dust2	14–16	-0.07	13%	29 May →
nuke	13–5	-0.08	21%	27 May →
overpass	13–10	-0.01	24%	27 May →
mirage	13–1	0.01	31%	27 May →
mirage	11–13	-0.03	14%	27 May →
overpass	16–14	-0.05	27%	27 May →
cache	3–13	-0.09	19%	25 May →
overpass	9–13	-0.05	24%	25 May →
dust2	13–4	-0.03	25%	23 May →
cache	11–13	-0.09	48%	22 May →
mirage	4–13	-0.06	17%	22 May →
anubis	13–6	-0.03	37%	22 May →
ancient	13–8	-0.04	21%	22 May →
inferno	11–13	-0.05	21%	22 May →
dust2	15–15	-0.04	20%	22 May →
dust2	12–16	-0.01	20%	22 May →
inferno	1–13	-0.08	26%	22 May →
dust2	4–1	-0.03	18%	22 May →
dust2	9–13	-0.05	19%	20 May →
dust2	11–13	-0.05	37%	20 May →
cache	3–13	-0.04	30%	20 May →
cache	12–12	-0.04	35%	20 May →
cache	8–13	-0.07	28%	20 May →
cache	12–12	-0.04	27%	18 May →
cache	13–5	-0.02	33%	18 May →
cache	13–6	-0.06	27%	10 May →
cache	7–13	-0.06	33%	10 May →
ancient	6–13	0.01	31%	9 May →
nuke	14–16	-0.02	44%	8 May →
cache	10–13	-0.03	27%	8 May →
ancient	13–8	0.02	26%	8 May →
office	6–13	-0.10	35%	30 Apr →
cache	4–13	0.05	21%	30 Apr →
cache	6–13	-0.07	27%	30 Apr →
mirage	13–8	-0.00	29%	31 Mar →
inferno	14–16	-0.03	19%	24 Feb →
nuke	4–13	-0.07	20%	24 Feb →
ancient	8–13	-0.08	33%	24 Feb →
inferno	5–13	-0.12	29%	24 Feb →
anubis	13–11	-0.06	22%	14 Feb →
dust2	13–9	-0.04	31%	13 Feb →
mirage	10–5	-0.06	50%	13 Feb →
dust2	11–13	-0.08	35%	13 Feb →
dust2	3–13	-0.07	53%	10 Feb →
inferno	7–13	-0.06	19%	29 Nov →
inferno	8–13	-0.04	27%	25 Nov →
inferno	13–11	0.02	23%	19 Nov →
overpass	13–2	-0.09	7%	19 Nov →
overpass	6–13	-0.08	32%	19 Nov →
overpass	13–7	-0.07	29%	19 Nov →
overpass	13–10	-0.08	27%	19 Nov →
overpass	5–13	-0.06	10%	19 Nov →
mirage	15–15	-0.07	32%	19 Nov →
overpass	10–13	-0.06	13%	18 Nov →
inferno	4–13	-0.03	15%	17 Nov →
overpass	13–10	-0.01	23%	17 Nov →
dust2	13–5	-0.05	23%	17 Nov →
mirage	4–13	-0.13	21%	17 Nov →
train	13–11	-0.02	32%	14 Nov →
rooftop	4–9	-0.08	50%	14 Nov →
mirage	8–13	-0.08	18%	14 Nov →
ancient	13–0	-0.04	24%	14 Nov →
mirage	4–13	-0.08	23%	14 Nov →
inferno	5–13	-0.06	11%	4 Nov →
dust2	2–13	0.00	27%	4 Nov →
dust2	13–9	-0.07	31%	29 Oct →
vertigo	9–13	-0.01	16%	28 Oct →
vertigo	10–13	-0.01	14%	28 Oct →
mirage	2–13	-0.11	16%	21 Oct →
anubis	13–8	-0.12	13%	15 Oct →
anubis	13–7	-0.04	27%	15 Oct →
nuke	2–13	-0.09	11%	12 Oct →
nuke	3–13	-0.11	17%	12 Oct →
mirage	13–6	0.00	29%	8 Oct →
ancient	13–1	-0.06	10%	8 Oct →
train	13–5	-0.06	35%	8 Oct →
office	6–13	-0.10	24%	5 Oct →
dust2	13–3	-0.06	35%	5 Oct →
office	12–12	-0.03	33%	4 Oct →
office	7–13	-0.06	17%	4 Oct →
mirage	13–8	-0.05	17%	4 Oct →
overpass	13–7	-0.06	33%	26 Sept →
overpass	7–13	-0.04	24%	25 Sept →
overpass	13–10	-0.00	18%	25 Sept →