WLSN — CS2 Stats

KR76561198443396403[U:1:483130675]Steam profile ↗✓ No bans

285Tracked matches62%Win rate2023Tracked since

767Hours in CS13Hrs last 2 wks

CSDB Rating4.7 Developing

Ladder ranks via Leetify

Performance scores

Aim50

Positioning39

Utility45

0–100 skill scores via Leetify.

Recent form

HOT59–36–5Last 10059%Win rateWLWWWWWWLW

Last 10 vs previous 10: +40pp win rate · +0.02 avg rating

Player DNA

Aim5.0

Aggression1.2

Utility4.5

Positioning3.9

Opening Duels0.0

Clutch0.0

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 69% playstyle similarity

Most alike: utility contribution, positioning profile.

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 40% on CT to 13% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 695ms 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

Positioning3.9

Utility4.5

Mechanics5.0

Opening Duels1.2

Win Impact9.0

Composite 4.7/10 (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 rating-0.01−0.02

first ⅓ avg 0.00 → last ⅓ avg -0.01

Reaction time688ms−53ms

first ⅓ avg 740ms → last ⅓ avg 688ms

Headshot accuracy20.8%+0.0%

first ⅓ avg 20.8% → last ⅓ avg 20.8%

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

0.22Best rating — nuke 3–3

13–0Biggest win — dust2

6Longest win streak

3–6In matches decided by ≤2 rounds

Map breakdown

anubisBest map · 77% over 13infernoWeakest map · 40% over 15

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	24	14–10	58%	-0.00
mirage	S	17	11–6	65%	-0.02
inferno	C	15	6–9	40%	-0.01
anubis	S	13	10–3	77%	-0.02
nuke	B	11	5–6	45%	0.01
ancient	A	10	6–4	60%	-0.00
cache	S	6	4–2	67%	-0.01
vertigo	—	2	1–1	50%	-0.04
overpass	—	2	2–0	100%	-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

42,332Lifetime kills

2.02K/D · Top 5% of tracked players

1,527Matches

26.1%Match win rate

32.1%Headshot %

19.3%Shot accuracy · Top 5% of tracked players

2,160MVPs

413Hours (in match)

526Bombs planted

135Bombs defused

Most-used weapons

SCAR-2012,993

M4A4 / M4A1-S5,259

AK-474,970

XM10143,015

AUG1,970

AWP1,576

Desert Eagle1,340

P2000 / USP-S930

SG 553847

Five-SeveN751

Lifetime map wins

1,774dust2

654inferno

406nuke

196italy

171vertigo

113office

89ar_shoots

87lake

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

Faceit stats

Combat

17Matches

18%Win rate

0.77Avg K/D

61.6ADR

45%Headshot %

Clutches & streaks

17%1v1 clutch win

0%1v2 clutch win

1Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	6	17%	0.62	10.5
Inferno	4	0%	0.85	14.5
Mirage	3	33%	0.86	13.0
Anubis	2	0%	0.63	12.5
Ancient	1	100%	1.60	16.0
Nuke	1	0%	0.56	10.0

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.

19.5%Headshot accuracy

30.5%Accuracy (enemy spotted)

34.6%Spray accuracy

72.5%Counter-strafing

9.1°Preaim

695msReaction time

12.7%T opening success

39.5%CT opening success

0.55Enemies flashed / flash

3.3%Flash assists

8.32HE damage / grenade

9.68Flashes / 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 12.6517% — 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.

40% win rate across 15 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
cache	8–2	-0.01	60%	31 Aug →
nuke	3–10	-0.01	13%	26 Aug →
inferno	13–6	0.03	24%	26 Aug →
cache	13–2	0.02	18%	26 Aug →
mirage	13–7	-0.03	20%	25 Aug →
dust2	13–6	-0.00	31%	25 Aug →
inferno	13–2	0.08	20%	24 Aug →
anubis	13–7	0.01	17%	24 Aug →
nuke	9–13	-0.02	32%	24 Aug →
mirage	13–3	0.03	27%	24 Aug →
ancient	4–13	-0.09	28%	23 Aug →
inferno	13–7	0.05	14%	20 Aug →
dust2	10–13	-0.02	22%	20 Aug →
inferno	6–13	-0.02	20%	20 Aug →
nuke	13–4	0.09	17%	20 Aug →
mirage	13–9	0.04	20%	18 Aug →
mirage	11–13	-0.04	14%	18 Aug →
dust2	11–13	-0.02	29%	18 Aug →
anubis	13–2	-0.03	9%	16 Aug →
dust2	12–12	-0.04	23%	16 Aug →
anubis	13–10	-0.03	10%	16 Aug →
nuke	13–10	-0.05	16%	15 Aug →
nuke	13–5	-0.11	13%	15 Aug →
inferno	11–13	-0.03	14%	13 Aug →
mirage	6–13	-0.04	16%	11 Aug →
dust2	13–9	0.03	16%	11 Aug →
mirage	10–3	-0.05	13%	10 Aug →
mirage	3–13	-0.09	20%	9 Aug →
dust2	13–8	-0.03	12%	6 Aug →
inferno	11–13	-0.00	15%	6 Aug →
ancient	13–7	0.04	46%	3 Aug →
inferno	5–13	-0.01	21%	3 Aug →
dust2	12–12	-0.03	18%	25 Jul →
nuke	10–13	-0.03	20%	25 Jul →
anubis	13–9	-0.03	17%	24 Jul →
mirage	13–10	-0.02	22%	21 Jul →
dust2	13–5	0.01	24%	21 Jul →
dust2	11–13	0.01	25%	21 Jul →
dust2	13–0	-0.01	0%	21 Jul →
cache	8–13	-0.03	23%	18 Jul →
ancient	13–5	0.01	10%	18 Jul →
inferno	13–9	0.05	33%	18 Jul →
dust2	6–13	-0.06	18%	18 Jul →
anubis	3–13	-0.07	12%	17 Jul →
inferno	3–13	-0.05	20%	17 Jul →
dust2	13–4	0.12	33%	17 Jul →
ancient	13–6	-0.00	29%	15 Jul →
vertigo	13–4	-0.04	8%	15 Jul →
anubis	4–13	-0.12	8%	15 Jul →
ancient	13–8	-0.05	15%	10 Jul →
inferno	12–12	-0.02	10%	10 Jul →
mirage	13–11	-0.02	17%	10 Jul →
anubis	13–8	-0.06	15%	9 Jul →
ancient	10–13	-0.06	8%	9 Jul →
inferno	2–13	-0.08	8%	9 Jul →
mirage	2–13	-0.07	32%	9 Jul →
dust2	12–12	-0.02	14%	9 Jul →
nuke	13–4	0.02	21%	7 Jul →
anubis	13–0	0.02	5%	7 Jul →
cache	6–9	-0.01	17%	7 Jul →
mirage	13–10	-0.05	22%	5 Jul →
dust2	13–5	-0.00	29%	5 Jul →
cache	13–4	0.00	18%	5 Jul →
dust2	13–1	0.02	23%	4 Jul →
mirage	13–5	0.00	21%	4 Jul →
inferno	13–11	-0.01	13%	4 Jul →
ancient	7–13	-0.02	30%	4 Jul →
anubis	13–3	-0.03	8%	4 Jul →
mirage	13–4	-0.02	21%	4 Jul →
dust2	13–2	0.08	32%	3 Jul →
dust2	10–13	-0.02	17%	2 Jul →
nuke	13–6	-0.00	15%	2 Jul →
inferno	8–13	0.02	25%	1 Jul →
anubis	13–6	0.06	18%	1 Jul →
cache	13–7	-0.05	14%	30 Jun →
inferno	13–10	-0.07	19%	29 Jun →
ancient	13–3	-0.00	18%	28 Jun →
dust2	13–0	0.04	25%	28 Jun →
dust2	8–13	-0.04	21%	28 Jun →
nuke	3–3	0.22	25%	27 Jun →
dust2	10–6	-0.05	21%	27 Jun →
dust2	13–7	-0.01	10%	27 Jun →
dust2	13–2	0.04	22%	26 Jun →
overpass	13–3	0.02	32%	24 Jun →
dust2	5–13	-0.08	9%	24 Jun →
mirage	7–13	0.00	22%	24 Jun →
ancient	13–7	0.10	22%	23 Jun →
mirage	4–13	-0.02	15%	23 Jun →
anubis	12–12	0.07	16%	22 Jun →
mirage	13–10	0.00	10%	22 Jun →
ancient	8–13	0.04	19%	21 Jun →
vertigo	9–13	-0.05	20%	21 Jun →
overpass	13–6	-0.03	30%	21 Jun →
nuke	10–13	0.03	15%	10 Jun →
anubis	13–11	0.01	34%	10 Jun →
mirage	13–9	-0.05	33%	10 Jun →
nuke	3–13	-0.05	33%	30 May →
anubis	13–7	-0.01	18%	28 May →
inferno	9–13	-0.04	24%	28 May →
dust2	13–9	0.06	25%	27 May →