TWilk — CS2 Stats

76561198245603770[U:1:285338042]✓ No bans

1,542Tracked matches43%Win rate2020Tracked since

1,774Hours in CS

CSDB Rating5.6 SolidHybrid Rifler

Premier CS Rating20,256Pink band · top ~8.2% of ranked players (population est.)

CSDB Leaderboard#6698 of 15511 tracked

FaceitLevel 8 · 1,611 ELOTop 31.2% of ranked FACEIT players

WingmanMaster Guardian Elite

Ladder ranks via Leetify

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Performance scores

Aim79

Positioning52

Utility56

0–100 skill scores via Leetify.

Recent form

STEADY43–54–3Last 10043%Win rateLLLLWWWWWL

Last 10 vs previous 10: +30pp win rate · +0.03 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim7.9

Aggression5.1

Utility5.6

Positioning5.2

Opening Duels0.7

Clutch3.8

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 91% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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 →

CSDB Rating breakdown

Aim7.9

Positioning5.2

Utility5.6

Mechanics6.1

Opening Duels0.8

Win Impact2.8

Composite 5.6/10 (Solid), 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 rating0.01−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time515ms−54ms

first ⅓ avg 569ms → last ⅓ avg 515ms

Headshot accuracy14.6%−1.4%

first ⅓ avg 16.0% → last ⅓ avg 14.6%

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

0.32Best rating — inferno 9–3

13–2Biggest win — cache

5Longest win streak

L4Current streak

13–10In matches decided by ≤2 rounds

13Overtime games

Map breakdown

anubisBest map · 53% over 19mirageWeakest map · 23% over 13

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	27	12–15	44%	0.02
anubis	B	19	10–9	53%	0.01
cache	B	16	8–8	50%	0.02
mirage	D	13	3–10	23%	-0.00
ancient	B	10	5–5	50%	0.01
dust2	C	7	3–4	43%	0.01
nuke	D	7	2–5	29%	0.02
vertigo	—	1	0–1	0%	0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

75,900Lifetime kills

1.04K/D

4,047Matches

46.5%Match win rate · Top 50% of Pink band

40.2%Headshot %

12.2%Shot accuracy

9,811MVPs

1,774Hours (in match)

4,094Bombs planted

1,206Bombs defused

Most-used weapons

AK-4725,265

M4A4 / M4A1-S12,414

AWP8,634

Desert Eagle4,656

P2000 / USP-S3,867

Glock-183,465

P903,108

MAC-101,308

Knife1,151

FAMAS1,077

Lifetime map wins

8,671dust2

8,074inferno

3,281nuke

741train

728cbble

347lake

253vertigo

145bank

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

Faceit stats

Combat

952Matches

50%Win rate

1.25Avg K/D

85.3ADR

39%Headshot %

Clutches & streaks

39%1v1 clutch win

24%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	186	51%	1.31	17.2
Anubis	101	52%	1.26	18.2
Mirage	95	39%	1.11	16.4
Dust2	93	51%	1.34	18.7
Nuke	86	53%	1.35	17.9
Overpass	49	59%	1.46	20.6
Ancient	41	44%	1.13	18.7
Train	12	25%	1.10	17.6

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.

14.8%Headshot accuracy

37.4%Accuracy (enemy spotted)

43.3%Spray accuracy

77.4%Counter-strafing

9.4°Preaim

509msReaction time

36.5%T opening success

28.8%CT opening success

0.57Enemies flashed / flash

4.7%Flash assists

9.30HE damage / grenade

19.97Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.7633% — below the 15% mark we flag
Aim Training →
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 36.4501% — below the 40% mark we flag

Spend your practice time on Mirage

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

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	7–13	0.01	14%	27 Aug →
mirage	6–13	-0.03	11%	26 Aug →
dust2	11–13	0.02	11%	26 Aug →
inferno	11–13	0.01	22%	26 Aug →
inferno	9–6	-0.07	24%	26 Aug →
dust2	28–26	0.03	16%	24 Aug →
cache	16–12	0.06	12%	23 Aug →
inferno	13–3	0.03	17%	23 Aug →
anubis	16–12	0.02	14%	23 Aug →
mirage	2–13	0.08	14%	20 Aug →
inferno	11–13	0.03	20%	20 Aug →
anubis	13–11	0.01	15%	20 Aug →
anubis	9–13	0.01	14%	19 Aug →
cache	11–13	-0.02	24%	19 Aug →
cache	7–13	-0.02	15%	18 Aug →
inferno	8–13	-0.04	21%	18 Aug →
nuke	9–13	0.02	20%	18 Aug →
cache	7–13	-0.02	14%	17 Aug →
inferno	6–9	-0.10	7%	17 Aug →
mirage	13–6	0.03	14%	16 Aug →
anubis	16–14	0.01	7%	16 Aug →
mirage	13–16	-0.05	10%	16 Aug →
inferno	13–11	0.03	13%	14 Aug →
cache	19–15	-0.03	22%	14 Aug →
anubis	11–13	-0.03	16%	12 Aug →
inferno	13–11	0.01	16%	12 Aug →
inferno	10–13	-0.02	13%	11 Aug →
ancient	13–11	0.01	13%	11 Aug →
vertigo	6–13	0.02	8%	11 Aug →
mirage	4–13	0.00	9%	9 Aug →
anubis	13–3	0.08	10%	9 Aug →
cache	13–7	0.15	13%	9 Aug →
anubis	19–17	0.03	12%	5 Aug →
mirage	13–9	-0.03	9%	5 Aug →
inferno	13–16	-0.04	10%	4 Aug →
inferno	7–13	0.08	10%	3 Aug →
anubis	13–6	0.03	9%	3 Aug →
inferno	4–13	0.01	12%	2 Aug →
cache	13–5	0.11	10%	2 Aug →
dust2	6–0	0.06	18%	2 Aug →
mirage	11–13	-0.01	8%	2 Aug →
anubis	7–13	-0.02	11%	2 Aug →
nuke	6–13	-0.03	16%	2 Aug →
inferno	10–13	0.11	11%	2 Aug →
ancient	13–5	0.05	9%	2 Aug →
mirage	15–15	-0.02	9%	1 Aug →
inferno	13–4	0.03	13%	1 Aug →
cache	8–13	0.01	13%	1 Aug →
ancient	6–13	0.02	13%	1 Aug →
anubis	16–14	-0.01	7%	31 Jul →
inferno	13–11	-0.00	14%	30 Jul →
nuke	13–7	0.05	7%	27 Jul →
anubis	10–13	-0.04	14%	27 Jul →
cache	8–13	0.01	14%	26 Jul →
inferno	11–13	0.01	9%	26 Jul →
inferno	10–13	0.02	18%	25 Jul →
anubis	13–11	0.00	11%	25 Jul →
cache	13–8	0.04	11%	25 Jul →
ancient	13–6	0.12	28%	25 Jul →
cache	10–13	-0.06	18%	24 Jul →
inferno	6–13	-0.06	9%	24 Jul →
inferno	7–13	0.04	13%	23 Jul →
anubis	10–13	-0.05	10%	22 Jul →
cache	13–2	0.09	20%	22 Jul →
inferno	13–9	-0.02	6%	22 Jul →
mirage	7–13	0.01	7%	21 Jul →
dust2	2–13	-0.09	12%	19 Jul →
nuke	6–13	-0.03	16%	19 Jul →
anubis	10–13	0.04	12%	18 Jul →
inferno	13–10	0.02	16%	18 Jul →
mirage	11–13	-0.02	9%	18 Jul →
inferno	9–3	0.32	10%	18 Jul →
ancient	4–13	-0.02	9%	18 Jul →
nuke	3–13	0.06	32%	18 Jul →
anubis	3–13	0.04	16%	18 Jul →
inferno	4–13	0.03	24%	18 Jul →
ancient	13–7	0.05	9%	16 Jul →
nuke	13–7	0.03	14%	16 Jul →
inferno	13–10	-0.01	22%	16 Jul →
ancient	10–13	-0.03	11%	13 Jul →
cache	13–8	0.07	17%	13 Jul →
anubis	13–7	0.04	3%	12 Jul →
dust2	10–13	0.00	24%	12 Jul →
inferno	13–8	-0.03	24%	12 Jul →
cache	13–4	-0.05	26%	12 Jul →
dust2	13–11	0.04	22%	12 Jul →
inferno	6–13	0.12	12%	8 Jul →
ancient	6–13	-0.01	23%	8 Jul →
cache	6–13	-0.03	20%	8 Jul →
inferno	13–9	-0.00	13%	8 Jul →
anubis	13–8	-0.04	13%	8 Jul →
nuke	9–13	0.02	13%	6 Jul →
ancient	13–11	-0.07	16%	5 Jul →
mirage	9–13	0.00	15%	4 Jul →
ancient	15–15	-0.00	8%	4 Jul →
anubis	7–13	-0.08	8%	4 Jul →
cache	11–13	0.03	19%	1 Jul →
mirage	16–14	-0.03	18%	1 Jul →
anubis	11–13	0.07	10%	1 Jul →
dust2	15–15	-0.00	22%	30 Jun →