zwilling — CS2 Stats

FJ76561199849107505[U:1:1888841777]Steam profile ↗✓ No bans

813Tracked matches52%Win rate2025Tracked since

1,034Hours in CS31Hrs last 2 wks

CSDB Rating6.3 SolidAggressive Rifler

Premier CS Rating20,000Top 50% of 44,590 CSDB-tracked playersPink band · top ~8.5% of ranked players (population est.)

CSDB Leaderboard#21852 of 57700 tracked

Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=9,423), 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	Pink band median	Red band median	vs Red band
Headshot rate	67.1%	47.1%	49.8%	above
Shot accuracy	0.0%	12.8%	13.4%	13.4% short
Kill/death ratio	1.53	1.08	1.12	above
Match win rate	50.4%	46.7%	48.6%	above

This profile matches the typical Red band player on 3 of 4 comparable metrics.

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

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Performance scores

Aim79

Positioning62

Utility62

0–100 skill scores via Leetify.

Recent form

STEADY62–36–2Last 10062%Win rateLLWTWWLWLL

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.

Aim7.9

Aggression7.6

Utility6.2

Positioning6.2

Opening Duels3.4

Clutch4.4

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 iM 92% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success.

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

Positioning6.2

Utility6.2

Mechanics5.1

Opening Duels3.4

Win Impact5.6

Composite 6.3/10 (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 rating0.02−0.01

first ⅓ avg 0.03 → last ⅓ avg 0.02

Reaction time529ms−34ms

first ⅓ avg 563ms → last ⅓ avg 529ms

Headshot accuracy19.6%−0.2%

first ⅓ avg 19.7% → last ⅓ avg 19.6%

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

0.25Best rating — inferno 13–2

13–0Biggest win — ancient

14Longest win streak

L2Current streak

6–7In matches decided by ≤2 rounds

2Overtime games

Map breakdown

trainBest map · 80% over 5mirageWeakest map · 57% over 21

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	21	12–9	57%	0.03
anubis	S	21	14–7	67%	0.04
ancient	A	15	9–6	60%	0.04
cache	A	13	8–5	62%	0.02
inferno	A	11	7–4	64%	0.05
dust2	S	8	6–2	75%	0.02
train	S	5	4–1	80%	0.09
debris	—	2	0–2	0%	-0.00
nuke	—	2	0–2	0%	-0.00
boulder	—	1	1–0	100%	0.03
overpass	—	1	1–0	100%	0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (57% over 21). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

49,552Lifetime kills

1.53K/D · Top 10% of Pink band

1,225Matches

50.4%Match win rate · Top 25% of Pink band

67.1%Headshot % · Top 5% of Pink band

0.0%Shot accuracy

3,382MVPs

951Hours (in match)

1,676Bombs planted

558Bombs defused

Most-used weapons

AK-4731,049

M4A4 / M4A1-S4,357

P2000 / USP-S2,767

Desert Eagle2,472

AWP1,537

FAMAS1,515

Glock-181,356

Galil AR1,192

MP91,034

SSG 08431

Lifetime map wins

2,863dust2

1,360inferno

219nuke

163train

36italy

26vertigo

5ar_shoots

2ar_baggage

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

Faceit stats

Combat

136Matches

55%Win rate

1.47Avg K/D

90.4ADR

46%Headshot %

Clutches & streaks

42%1v1 clutch win

26%1v2 clutch win

7Longest win streak

Recent Faceit resultsWLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	45	42%	1.25	17.6
Anubis	28	61%	2.05	18.4
Inferno	27	63%	1.23	16.5
Ancient	18	67%	1.35	16.9
Dust2	8	50%	1.98	19.3
Overpass	5	60%	1.32	17.6
Cache	4	75%	1.36	19.5
Nuke	1	0%	0.73	11.0

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.

20.3%Headshot accuracy

36.0%Accuracy (enemy spotted)

39.7%Spray accuracy

73.1%Counter-strafing

8.8°Preaim

532msReaction time

46.4%T opening success

40.7%CT opening success

0.66Enemies flashed / flash

5.5%Flash assists

7.32HE damage / grenade

8.07Flashes / match

Recent matches

Map	Score	Rating	HS%	Date
mirage	6–13	-0.04	24%	30 Aug →
inferno	11–13	0.01	16%	30 Aug →
cache	13–9	-0.08	13%	30 Aug →
ancient	12–12	0.10	22%	29 Aug →
mirage	13–5	0.17	17%	29 Aug →
anubis	13–3	0.16	32%	29 Aug →
inferno	8–13	-0.05	12%	29 Aug →
inferno	13–2	0.03	25%	29 Aug →
mirage	9–13	-0.02	15%	28 Aug →
ancient	8–13	-0.00	19%	27 Aug →
anubis	11–13	-0.06	19%	27 Aug →
mirage	9–13	-0.01	12%	27 Aug →
mirage	5–13	0.10	24%	27 Aug →
dust2	6–13	0.00	20%	27 Aug →
mirage	13–11	0.02	19%	26 Aug →
inferno	10–13	0.02	23%	26 Aug →
ancient	13–11	0.00	9%	26 Aug →
inferno	13–8	0.03	20%	24 Aug →
anubis	13–3	0.12	18%	24 Aug →
cache	8–13	-0.04	9%	24 Aug →
anubis	13–5	-0.04	21%	23 Aug →
ancient	11–13	0.09	26%	22 Aug →
mirage	7–13	-0.05	41%	22 Aug →
inferno	13–8	0.12	29%	22 Aug →
dust2	13–4	0.03	18%	22 Aug →
anubis	13–10	0.05	26%	22 Aug →
ancient	13–7	-0.01	22%	21 Aug →
cache	13–8	0.01	28%	21 Aug →
dust2	13–5	0.02	10%	20 Aug →
mirage	6–13	0.03	27%	19 Aug →
ancient	13–0	-0.00	11%	19 Aug →
inferno	13–5	0.02	19%	19 Aug →
cache	0–2	0.00	0%	18 Aug →
mirage	13–8	0.03	15%	18 Aug →
mirage	13–9	0.02	25%	18 Aug →
anubis	13–4	0.04	24%	18 Aug →
train	13–8	0.01	19%	18 Aug →
dust2	13–9	0.07	25%	18 Aug →
ancient	13–1	0.10	32%	16 Aug →
inferno	13–6	0.04	18%	16 Aug →
train	13–7	0.13	21%	16 Aug →
mirage	12–0	0.01	7%	16 Aug →
mirage	13–5	0.02	16%	14 Aug →
train	6–0	0.18	57%	14 Aug →
cache	13–7	0.07	27%	14 Aug →
train	13–5	0.09	16%	14 Aug →
anubis	13–10	0.01	18%	14 Aug →
train	9–13	0.07	16%	14 Aug →
ancient	13–10	0.06	27%	13 Aug →
cache	13–8	0.12	13%	13 Aug →
cache	10–13	0.02	18%	12 Aug →
debris	5–9	-0.01	28%	11 Aug →
inferno	7–13	0.01	21%	11 Aug →
mirage	9–13	-0.03	31%	11 Aug →
anubis	8–13	0.06	18%	1 Aug →
inferno	13–10	0.04	13%	1 Aug →
anubis	3–13	-0.04	22%	1 Aug →
anubis	13–10	0.04	13%	31 Jul →
ancient	13–11	0.02	12%	31 Jul →
debris	6–9	0.01	19%	31 Jul →
boulder	13–8	0.03	28%	31 Jul →
inferno	13–2	0.25	17%	31 Jul →
ancient	13–5	0.08	24%	31 Jul →
ancient	11–13	-0.02	17%	31 Jul →
anubis	13–10	0.05	15%	31 Jul →
mirage	13–4	0.12	12%	31 Jul →
cache	13–2	0.04	20%	30 Jul →
anubis	6–13	0.07	27%	30 Jul →
dust2	13–5	0.03	24%	30 Jul →
cache	13–9	0.02	25%	30 Jul →
cache	13–10	0.04	20%	28 Jul →
anubis	13–9	0.03	19%	28 Jul →
anubis	13–11	0.07	12%	28 Jul →
anubis	7–13	-0.05	15%	25 Jul →
cache	13–11	-0.02	13%	25 Jul →
anubis	10–13	0.02	14%	25 Jul →
anubis	13–3	0.09	15%	24 Jul →
cache	11–13	0.04	16%	24 Jul →
ancient	16–13	0.02	13%	23 Jul →
dust2	13–2	0.04	24%	23 Jul →
nuke	7–13	0.02	21%	23 Jul →
cache	8–13	0.01	24%	23 Jul →
mirage	13–3	0.18	18%	23 Jul →
dust2	15–15	-0.05	22%	22 Jul →
ancient	11–13	-0.01	31%	22 Jul →
mirage	8–13	-0.06	28%	22 Jul →
anubis	10–13	0.12	17%	22 Jul →
anubis	11–0	0.04	42%	22 Jul →
nuke	6–13	-0.02	15%	19 Jul →
anubis	13–2	0.05	11%	19 Jul →
overpass	13–5	0.05	20%	19 Jul →
mirage	13–2	0.06	22%	19 Jul →
mirage	11–1	0.09	23%	19 Jul →
anubis	13–9	-0.01	7%	18 Jul →
mirage	5–13	-0.08	16%	18 Jul →
mirage	13–5	0.06	16%	18 Jul →
dust2	5–3	0.01	15%	18 Jul →
mirage	13–10	0.04	20%	17 Jul →
ancient	13–7	0.07	25%	17 Jul →
ancient	4–13	0.08	25%	17 Jul →