YEET-_- — CS2 Stats

DK76561199033577264[U:1:1073311536]Steam profile ↗✓ No bans

1,406Tracked matches67%Win rate2020Tracked since

CSDB Rating7.3 StrongAggressive Rifler

FaceitLevel 10 · 2,667 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

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Performance scores

Aim88

Positioning53

Utility53

0–100 skill scores via Leetify.

Recent form

HOT62–34–4Last 10062%Win rateWWLWWLWWWL

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.8

Aggression6.6

Utility5.3

Positioning5.3

Opening Duels2.5

Clutch3.8

Sharp aimerExcellent counter-strafingEffective 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 Twistzz 93% playstyle similarity

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

Where you differ: lower utility contribution.

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

Strengths

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 553ms 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

Aim8.8

Positioning5.3

Utility5.3

Mechanics9.1

Opening Duels2.5

Win Impact10.0

Composite 7.3/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.04

first ⅓ avg 0.05 → last ⅓ avg 0.01

Reaction time564ms−13ms

first ⅓ avg 577ms → last ⅓ avg 564ms

Headshot accuracy19.8%−5.0%

first ⅓ avg 24.9% → last ⅓ avg 19.8%

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

0.17Best rating — nuke 7–13

13–1Biggest win — mirage

9Longest win streak

W2Current streak

8–5In matches decided by ≤2 rounds

13Overtime games

Map breakdown

anubisBest map · 75% over 8dust2Weakest map · 44% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	S	23	17–6	74%	0.02
ancient	B	13	7–6	54%	0.00
nuke	A	11	7–4	64%	0.03
dust2	C	9	4–5	44%	0.03
overpass	A	9	5–4	56%	0.01
anubis	S	8	6–2	75%	0.04
office	S	7	5–2	71%	0.11
inferno	B	6	3–3	50%	0.03
cache	—	4	3–1	75%	0.02
train	—	4	1–3	25%	0.04
vertigo	—	3	1–2	33%	0.08
golden	—	1	1–0	100%	0.02
agency	—	1	1–0	100%	0.04
palacio	—	1	1–0	100%	0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,664Matches

51%Win rate

1.18Avg K/D

82.6ADR

51%Headshot %

Clutches & streaks

39%1v1 clutch win

24%1v2 clutch win

9Longest win streak

Recent Faceit resultsLLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	356	50%	1.08	16.2
Ancient	278	54%	1.16	17.1
Dust2	207	52%	1.18	16.9
Anubis	150	52%	1.05	16.4
Inferno	112	43%	1.12	16.2
Nuke	92	45%	1.15	17.2
Overpass	60	52%	1.21	17.5
Train	32	50%	1.06	16.6

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.

19.0%Headshot accuracy

39.2%Accuracy (enemy spotted)

39.8%Spray accuracy

90.8%Counter-strafing

8.9°Preaim

553msReaction time

34.3%T opening success

45.7%CT opening success

0.70Enemies flashed / flash

3.2%Flash assists

9.23HE damage / grenade

8.89Flashes / 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 34.3222% — below the 40% mark we flag

Spend your practice time on Dust 2

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

44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	16–12	0.08	13%	3 Aug →
ancient	13–9	-0.03	19%	3 Aug →
cache	3–13	0.04	16%	3 Aug →
cache	13–9	-0.02	13%	31 Jul →
mirage	13–11	0.04	13%	25 Jul →
inferno	2–13	-0.07	21%	13 Jul →
ancient	13–3	0.00	17%	8 Jul →
inferno	13–5	0.03	7%	7 Jul →
inferno	13–5	0.05	17%	7 Jul →
anubis	13–16	-0.03	22%	7 Jul →
cache	13–8	0.04	20%	6 Jul →
dust2	6–13	0.01	18%	13 Jun →
nuke	13–6	0.03	18%	11 Jun →
mirage	17–19	0.01	25%	29 May →
overpass	19–16	-0.00	18%	29 May →
ancient	13–9	0.01	17%	20 May →
anubis	13–3	0.06	23%	8 May →
cache	13–9	0.02	23%	4 May →
overpass	16–14	-0.02	23%	3 May →
overpass	10–13	0.02	10%	19 Apr →
mirage	16–13	0.03	17%	18 Apr →
mirage	10–13	0.01	16%	18 Apr →
nuke	11–13	-0.04	26%	12 Apr →
ancient	4–13	-0.02	33%	23 Mar →
dust2	13–2	0.00	14%	23 Mar →
mirage	13–1	0.13	21%	23 Mar →
nuke	13–11	0.09	24%	23 Mar →
mirage	13–1	0.10	16%	23 Mar →
nuke	2–9	-0.10	29%	23 Mar →
nuke	8–8	-0.02	40%	23 Mar →
dust2	14–16	-0.05	18%	28 Feb →
mirage	13–10	0.03	29%	3 Feb →
mirage	13–11	-0.01	19%	16 Jan →
dust2	13–6	0.02	24%	16 Jan →
anubis	13–7	0.08	24%	16 Jan →
overpass	7–13	-0.05	26%	5 Jan →
ancient	10–13	-0.02	18%	2 Jan →
overpass	7–13	0.04	17%	2 Jan →
mirage	13–6	0.07	17%	2 Jan →
overpass	13–7	0.07	23%	2 Jan →
dust2	16–13	0.13	28%	2 Jan →
mirage	19–17	0.01	27%	1 Jan →
mirage	13–6	-0.01	18%	1 Jan →
mirage	13–11	-0.00	16%	31 Dec →
golden	13–7	0.02	30%	28 Dec →
anubis	13–7	0.01	21%	28 Dec →
mirage	13–8	-0.00	27%	27 Dec →
mirage	3–13	-0.08	15%	26 Dec →
overpass	13–6	0.00	35%	22 Dec →
dust2	7–13	0.04	21%	16 Dec →
anubis	6–13	0.07	35%	14 Dec →
anubis	13–3	0.04	41%	14 Dec →
mirage	13–10	-0.01	27%	13 Dec →
train	12–16	0.03	23%	13 Dec →
mirage	13–11	0.08	31%	6 Dec →
office	13–8	0.05	56%	6 Dec →
mirage	13–11	0.07	24%	5 Dec →
nuke	13–4	0.02	23%	5 Dec →
mirage	10–13	-0.05	16%	5 Dec →
mirage	3–13	-0.04	22%	30 Nov →
inferno	5–13	0.02	29%	29 Nov →
anubis	11–5	0.04	48%	28 Nov →
ancient	14–16	0.05	17%	27 Nov →
office	13–8	0.15	33%	26 Nov →
agency	13–9	0.04	38%	22 Nov →
vertigo	12–12	0.04	33%	22 Nov →
palacio	6–0	0.00	50%	22 Nov →
dust2	10–13	0.00	19%	20 Nov →
ancient	9–13	-0.03	34%	13 Nov →
nuke	13–8	-0.00	24%	11 Nov →
ancient	10–13	0.07	18%	10 Nov →
ancient	9–13	-0.03	21%	10 Nov →
mirage	13–5	0.08	21%	8 Nov →
mirage	13–8	0.04	19%	8 Nov →
mirage	13–10	-0.00	16%	7 Nov →
office	10–13	0.04	15%	7 Nov →
office	13–1	0.13	36%	7 Nov →
nuke	7–13	0.17	36%	7 Nov →
ancient	13–8	0.01	12%	3 Nov →
nuke	13–5	0.07	31%	30 Oct →
dust2	16–13	0.09	19%	30 Oct →
dust2	6–13	-0.02	17%	30 Oct →
ancient	13–9	0.03	11%	28 Oct →
mirage	11–13	-0.03	17%	28 Oct →
vertigo	13–5	0.13	24%	26 Oct →
vertigo	9–13	0.06	22%	26 Oct →
ancient	13–8	0.04	27%	26 Oct →
inferno	13–6	0.08	29%	16 Oct →
train	13–3	0.08	32%	16 Oct →
office	12–12	0.15	34%	16 Oct →
inferno	12–12	0.11	29%	15 Oct →
nuke	13–10	0.08	27%	15 Oct →
office	13–6	0.10	48%	15 Oct →
office	13–4	0.16	52%	15 Oct →
nuke	13–5	0.06	17%	15 Oct →
train	10–13	-0.00	20%	13 Oct →
overpass	9–13	-0.05	24%	13 Oct →
overpass	13–8	0.05	19%	12 Oct →
train	16–19	0.04	33%	11 Oct →
ancient	13–6	-0.04	20%	11 Oct →