WORM — CS2 Stats

76561198004403188[U:1:44137460]

1,296Tracked matches44%Win rate2022Tracked since

1,795Hours in CS12Hrs last 2 wks

CSDB Rating6.9 SolidAggressive Rifler

Premier CS Rating21,960Top 50% of 29,473 CSDB-tracked playersPink band · top ~6.3% of ranked players (population est.)

CSDB Leaderboard#10736 of 37604 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

WingmanMaster Guardian Elite

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=1,711), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 4 median	Level 5 median	vs Level 5
Headshot rate	53.4%	42.7%	44.0%	above
Shot accuracy	10.5%	10.8%	11.6%	1.1% short
Kill/death ratio	1.35	1.00	1.03	above
Match win rate	47.7%	44.1%	45.1%	above

This profile matches the typical Level 5 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim85

Positioning69

Utility65

0–100 skill scores via Leetify.

Recent form

COLD42–52–6Last 10042%Win rateLWLWWLLLLT

Last 10 vs previous 10: -40pp win rate · -0.04 avg rating

Player DNA

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

Aim8.5

Aggression10.0

Utility6.5

Positioning6.9

Opening Duels4.9

Clutch0.0

Sharp aimer

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 ZywOo 95% playstyle similarity

Most alike: opening-fight frequency, positioning 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

Strengths

Aim. Aim score of 85 — the mechanical foundation is a clear strength.

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

Aim8.5

Positioning6.9

Utility6.5

Mechanics7.1

Opening Duels4.9

Win Impact3.1

Composite 6.9/10 (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 rating0.04−0.00

first ⅓ avg 0.05 → last ⅓ avg 0.04

Reaction time546ms−38ms

first ⅓ avg 583ms → last ⅓ avg 546ms

Headshot accuracy21.6%−4.1%

first ⅓ avg 25.7% → last ⅓ avg 21.6%

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

0.17Best rating — train 13–2

13–2Biggest win — train

5Longest win streak

5–12In matches decided by ≤2 rounds

2Overtime games

Map breakdown

anubisBest map · 75% over 8infernoWeakest map · 21% over 19

Map	Grade	Played	Record	Win rate	Avg rating
cache	C	32	14–18	44%	0.05
inferno	D	19	4–15	21%	0.04
ancient	B	13	7–6	54%	0.04
dust2	D	13	4–9	31%	0.04
anubis	S	8	6–2	75%	0.03
vertigo	—	4	2–2	50%	0.07
overpass	—	4	2–2	50%	0.03
mirage	—	3	1–2	33%	0.07
train	—	3	1–2	33%	0.08
fachwerk	—	1	1–0	100%	0.11

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (21% over 19). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

54,996Lifetime kills

1.35K/D · Top 10% of Level 4 players

2,837Matches

47.7%Match win rate · Top 25% of Level 4 players

53.4%Headshot % · Top 25% of Level 4 players

10.5%Shot accuracy

6,974MVPs

1,046Hours (in match)

2,013Bombs planted

856Bombs defused

Most-used weapons

AK-4719,269

M4A4 / M4A1-S10,821

P2000 / USP-S3,723

Desert Eagle3,108

AWP3,048

Glock-182,813

Galil AR1,570

MP91,446

MAC-101,354

FAMAS966

Lifetime map wins

3,846inferno

2,790dust2

2,599vertigo

973train

838nuke

247cbble

219office

121lake

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

Faceit stats

Combat

9Matches

56%Win rate

1.58Avg K/D

107.3ADR

56%Headshot %

Clutches & streaks

11%1v1 clutch win

0%1v2 clutch win

4Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	4	75%	2.10	27.3
Inferno	2	50%	1.00	13.0
Dust2	1	0%	1.27	19.0
Anubis	1	100%	1.75	21.0
Mirage	1	0%	0.76	13.0

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.

21.2%Headshot accuracy

37.0%Accuracy (enemy spotted)

37.9%Spray accuracy

82.0%Counter-strafing

8.0°Preaim

543msReaction time

45.1%T opening success

53.8%CT opening success

0.64Enemies flashed / flash

5.6%Flash assists

11.14HE damage / grenade

10.91Flashes / match

Recommended for you

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.

21% win rate across 19 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
vertigo	8–13	0.11	16%	25 Aug →
cache	13–5	0.07	15%	24 Aug →
inferno	7–13	0.01	24%	23 Aug →
inferno	13–7	0.02	19%	23 Aug →
anubis	13–5	0.00	12%	23 Aug →
inferno	8–13	0.00	36%	23 Aug →
inferno	11–13	0.11	26%	23 Aug →
cache	11–13	0.04	27%	23 Aug →
inferno	5–13	-0.05	21%	23 Aug →
ancient	12–12	0.04	22%	22 Aug →
cache	13–6	0.03	19%	22 Aug →
dust2	9–13	0.00	18%	20 Aug →
dust2	11–13	0.04	16%	18 Aug →
fachwerk	13–3	0.11	14%	17 Aug →
anubis	13–4	0.11	17%	16 Aug →
cache	13–8	0.13	22%	16 Aug →
mirage	11–13	0.09	23%	16 Aug →
vertigo	13–6	0.05	49%	16 Aug →
train	13–2	0.17	28%	16 Aug →
mirage	13–3	0.08	24%	16 Aug →
vertigo	13–7	0.05	16%	14 Aug →
dust2	12–12	-0.01	16%	13 Aug →
cache	7–13	0.04	18%	13 Aug →
dust2	6–13	-0.04	16%	12 Aug →
train	12–12	0.05	17%	11 Aug →
cache	2–13	-0.02	15%	10 Aug →
dust2	11–13	0.09	20%	10 Aug →
ancient	13–10	0.09	22%	9 Aug →
cache	2–13	-0.06	26%	9 Aug →
inferno	5–13	-0.05	20%	9 Aug →
train	9–13	0.03	27%	9 Aug →
cache	13–2	0.09	22%	9 Aug →
cache	3–13	0.06	30%	9 Aug →
cache	13–8	0.06	26%	8 Aug →
dust2	13–7	0.06	21%	8 Aug →
cache	9–13	0.03	40%	8 Aug →
inferno	12–12	0.06	24%	8 Aug →
inferno	7–13	0.06	23%	3 Aug →
cache	12–12	0.02	14%	2 Aug →
cache	13–7	0.07	21%	2 Aug →
dust2	13–9	0.07	26%	2 Aug →
anubis	13–10	0.03	22%	2 Aug →
inferno	13–16	0.00	21%	2 Aug →
dust2	13–5	0.09	32%	1 Aug →
ancient	13–9	-0.01	32%	1 Aug →
cache	13–9	0.02	13%	1 Aug →
cache	13–4	-0.02	40%	1 Aug →
cache	13–7	0.06	27%	30 Jul →
inferno	6–13	0.03	19%	29 Jul →
cache	13–10	0.16	26%	29 Jul →
ancient	11–13	0.00	16%	28 Jul →
cache	13–5	-0.00	18%	28 Jul →
anubis	7–13	-0.02	16%	26 Jul →
cache	5–13	-0.03	21%	26 Jul →
anubis	6–13	-0.00	29%	26 Jul →
ancient	13–7	0.15	17%	26 Jul →
cache	8–13	0.00	15%	26 Jul →
cache	8–13	0.01	18%	26 Jul →
cache	12–12	0.01	22%	26 Jul →
cache	8–13	0.07	20%	26 Jul →
inferno	9–13	0.08	25%	26 Jul →
ancient	13–11	0.07	19%	25 Jul →
cache	9–13	0.10	24%	24 Jul →
inferno	5–13	-0.01	26%	24 Jul →
cache	7–13	0.08	29%	22 Jul →
cache	11–13	0.04	26%	22 Jul →
anubis	13–11	0.05	20%	21 Jul →
ancient	9–13	0.02	32%	20 Jul →
cache	13–5	0.06	16%	20 Jul →
ancient	13–11	0.10	24%	20 Jul →
cache	11–13	0.09	31%	20 Jul →
cache	4–13	0.06	19%	20 Jul →
cache	11–13	0.06	26%	20 Jul →
cache	13–4	0.16	27%	20 Jul →
cache	13–8	-0.02	32%	20 Jul →
ancient	5–13	0.05	32%	14 Jul →
ancient	6–13	-0.01	18%	14 Jul →
dust2	13–11	0.12	27%	12 Jul →
ancient	1–13	-0.08	21%	12 Jul →
inferno	13–5	0.14	36%	12 Jul →
anubis	13–3	0.09	15%	12 Jul →
inferno	16–14	0.11	26%	6 Jul →
vertigo	11–13	0.08	32%	5 Jul →
overpass	7–13	0.03	20%	5 Jul →
overpass	13–10	0.12	26%	5 Jul →
inferno	13–4	0.05	28%	5 Jul →
ancient	13–10	0.08	16%	28 Jun →
inferno	3–13	0.03	39%	27 Jun →
ancient	13–3	0.06	24%	18 Jun →
overpass	2–13	-0.04	15%	18 Jun →
inferno	11–13	0.04	32%	17 Jun →
overpass	13–6	0.00	31%	16 Jun →
dust2	3–13	0.07	26%	16 Jun →
mirage	2–13	0.03	24%	14 Jun →
dust2	2–13	0.02	38%	14 Jun →
inferno	8–13	0.07	26%	13 Jun →
inferno	6–13	-0.00	24%	8 Jun →
anubis	13–7	0.00	15%	7 Jun →
dust2	11–13	0.07	20%	7 Jun →
dust2	2–13	-0.03	31%	7 Jun →