zeenox — CS2 Stats

DE76561198152549520[U:1:192283792]Steam profile ↗✓ No bans

3,930Tracked matches66%Win rate2020Tracked since

7,905Hours in CS

CSDB Rating6.6 SolidAggressive Rifler

Premier CS Rating26,189Top 25% of 819 CSDB-tracked playersRed band · top ~2.4% of ranked players (population est.)

CSDB Leaderboard#1029 of 9712 tracked

FaceitLevel 10 · 2,405 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), 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 10 median
Headshot rate	55.1%	52.8%
Shot accuracy	10.3%	13.7%
Kill/death ratio	1.24	1.08
Match win rate	64.5%	49.2%

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Performance scores

Aim70

Positioning55

Utility56

0–100 skill scores via Leetify.

Recent form

HOT56–39–5Last 10056%Win rateWWLWWWWWWW

Last 10 vs previous 10: +30pp win rate · -0.00 avg rating

Player DNA

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

Aim7.0

Aggression8.3

Utility5.6

Positioning5.5

Opening Duels3.8

Clutch3.2

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 b1t 90% playstyle similarity

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

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 →

Strengths & areas to improve

Areas to improve

Reaction time. 594ms 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

Aim7.0

Positioning5.5

Utility5.6

Mechanics6.0

Opening Duels3.8

Win Impact10.0

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg 0.00

Reaction time581ms−75ms

first ⅓ avg 656ms → last ⅓ avg 581ms

Headshot accuracy22.6%−2.2%

first ⅓ avg 24.8% → last ⅓ avg 22.6%

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

0.13Best rating — office 6–13

13–0Biggest win — overpass

7Longest win streak

W2Current streak

8–10In matches decided by ≤2 rounds

3Overtime games

Map breakdown

infernoBest map · 86% over 7anubisWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
cache	B	15	8–7	53%	0.00
anubis	D	11	3–8	27%	-0.01
train	B	10	5–5	50%	-0.01
ancient	A	10	6–4	60%	-0.00
boulder	S	10	8–2	80%	0.03
vertigo	C	8	3–5	38%	-0.00
inferno	S	7	6–1	86%	-0.01
nuke	D	6	2–4	33%	-0.01
overpass	S	6	4–2	67%	0.03
fachwerk	A	5	3–2	60%	0.00
mirage	—	4	3–1	75%	0.01
shelter	—	4	3–1	75%	0.05
dust2	—	1	1–0	100%	0.00
italy	—	1	1–0	100%	-0.01
cbble	—	1	0–1	0%	0.06
office	—	1	0–1	0%	0.13

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

272,828Lifetime kills

1.24K/D · Top 25% of Level 10 players

13,170Matches

64.5%Match win rate · Top 5% of Level 10 players

55.1%Headshot % · Top 50% of Level 10 players

10.3%Shot accuracy

23,274MVPs

7,905Hours (in match)

9,609Bombs planted

3,257Bombs defused

Most-used weapons

AK-47114,993

M4A4 / M4A1-S39,638

AWP28,162

P2000 / USP-S16,899

Desert Eagle10,618

Glock-189,562

Five-SeveN4,852

P2504,832

Tec-94,519

MP94,289

Lifetime map wins

12,416dust2

8,144inferno

5,382vertigo

4,772nuke

4,718cbble

3,502train

476office

288italy

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

Faceit stats

Combat

1,860Matches

53%Win rate

1.10Avg K/D

77.1ADR

47%Headshot %

Clutches & streaks

36%1v1 clutch win

16%1v2 clutch win

12Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	414	56%	1.04	15.5
Anubis	365	56%	1.07	15.9
Nuke	147	44%	1.00	15.0
Inferno	144	47%	1.03	15.0
Mirage	111	38%	0.97	14.4
Vertigo	107	59%	1.11	16.7
Train	75	59%	1.07	16.1
Overpass	52	52%	0.98	15.4

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.

21.9%Headshot accuracy

34.1%Accuracy (enemy spotted)

37.8%Spray accuracy

77.1%Counter-strafing

10.4°Preaim

594msReaction time

43.4%T opening success

47.0%CT opening success

0.52Enemies flashed / flash

8.4%Flash assists

9.97HE damage / grenade

6.45Flashes / match

Recommended for you

Spend your practice time on Anubis

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–11	-0.05	22%	27 Aug →
train	13–7	-0.03	22%	27 Aug →
vertigo	2–13	-0.06	12%	27 Aug →
cache	11–4	-0.03	26%	27 Aug →
cache	8–0	-0.05	16%	27 Aug →
mirage	13–11	0.03	25%	27 Aug →
inferno	13–3	-0.01	25%	26 Aug →
shelter	13–3	0.05	24%	26 Aug →
train	13–6	0.07	18%	26 Aug →
vertigo	13–6	0.10	28%	26 Aug →
inferno	11–13	-0.02	20%	26 Aug →
fachwerk	13–1	0.01	24%	26 Aug →
cache	13–10	0.07	21%	26 Aug →
anubis	13–2	0.07	21%	26 Aug →
vertigo	13–8	0.02	17%	26 Aug →
dust2	13–10	0.00	20%	26 Aug →
nuke	11–13	-0.03	21%	25 Aug →
cache	4–13	-0.05	17%	25 Aug →
fachwerk	13–5	0.03	24%	25 Aug →
vertigo	11–13	-0.08	13%	24 Aug →
train	13–6	0.04	32%	24 Aug →
italy	13–7	-0.01	25%	24 Aug →
ancient	13–4	0.04	20%	24 Aug →
cache	8–13	-0.05	24%	24 Aug →
shelter	6–13	0.07	45%	24 Aug →
boulder	12–12	0.03	31%	24 Aug →
inferno	13–8	-0.03	15%	24 Aug →
train	5–13	-0.08	8%	23 Aug →
anubis	1–7	-0.04	10%	23 Aug →
vertigo	11–13	0.03	21%	23 Aug →
anubis	11–13	0.00	13%	19 Aug →
nuke	12–12	-0.00	27%	18 Aug →
inferno	5–1	0.04	60%	18 Aug →
ancient	8–13	-0.04	16%	18 Aug →
train	13–5	0.03	24%	18 Aug →
cache	13–9	0.02	18%	18 Aug →
train	13–2	0.02	30%	17 Aug →
overpass	13–0	0.08	22%	17 Aug →
fachwerk	7–13	-0.05	23%	17 Aug →
nuke	13–10	-0.04	14%	17 Aug →
ancient	13–6	-0.03	28%	17 Aug →
vertigo	13–4	-0.04	9%	17 Aug →
train	5–13	-0.09	18%	17 Aug →
anubis	13–2	0.09	32%	17 Aug →
cache	10–13	0.02	22%	17 Aug →
boulder	13–4	0.07	21%	17 Aug →
mirage	13–11	0.04	20%	13 Aug →
ancient	12–12	0.01	28%	13 Aug →
vertigo	12–12	0.05	18%	13 Aug →
boulder	13–9	0.08	23%	13 Aug →
train	2–13	-0.01	19%	13 Aug →
boulder	10–13	-0.04	33%	11 Aug →
shelter	13–5	0.09	21%	11 Aug →
fachwerk	13–6	0.06	16%	11 Aug →
ancient	13–11	0.02	19%	11 Aug →
inferno	13–11	-0.01	11%	10 Aug →
cbble	10–13	0.06	20%	8 Aug →
mirage	11–13	-0.02	24%	3 Aug →
boulder	13–5	0.01	29%	2 Aug →
cache	10–13	0.03	21%	2 Aug →
ancient	7–13	0.03	22%	2 Aug →
anubis	13–16	-0.01	18%	2 Aug →
anubis	11–13	0.00	13%	2 Aug →
vertigo	3–13	-0.02	27%	1 Aug →
train	6–13	-0.04	11%	1 Aug →
train	6–13	0.02	29%	1 Aug →
cache	4–13	-0.07	26%	1 Aug →
ancient	9–13	-0.02	34%	31 Jul →
anubis	11–13	-0.10	18%	31 Jul →
cache	13–9	-0.01	22%	31 Jul →
ancient	13–8	-0.00	34%	31 Jul →
mirage	13–4	-0.02	18%	31 Jul →
ancient	16–14	-0.02	20%	31 Jul →
anubis	8–13	-0.05	28%	28 Jul →
boulder	13–0	0.06	30%	28 Jul →
overpass	12–12	0.01	27%	28 Jul →
office	6–13	0.13	38%	27 Jul →
boulder	13–11	0.00	30%	27 Jul →
overpass	6–13	-0.04	20%	27 Jul →
ancient	13–8	-0.00	24%	27 Jul →
anubis	10–13	-0.02	15%	27 Jul →
boulder	13–3	0.12	36%	27 Jul →
anubis	16–13	-0.04	22%	27 Jul →
fachwerk	9–13	-0.03	32%	24 Jul →
boulder	13–8	0.00	22%	24 Jul →
nuke	11–13	-0.04	32%	24 Jul →
overpass	13–8	0.00	22%	23 Jul →
anubis	4–13	-0.05	13%	22 Jul →
overpass	13–1	0.11	30%	22 Jul →
overpass	13–10	0.02	19%	22 Jul →
shelter	13–10	0.01	29%	22 Jul →
boulder	13–2	0.00	19%	22 Jul →
cache	13–7	0.04	21%	21 Jul →
nuke	6–13	-0.05	21%	21 Jul →
cache	13–4	0.04	23%	21 Jul →
inferno	13–9	0.02	23%	21 Jul →
cache	13–11	0.04	19%	21 Jul →
cache	11–13	0.01	29%	21 Jul →
cache	7–13	0.02	24%	21 Jul →
nuke	13–5	0.09	24%	20 Jul →