1zoid — CS2 Stats

76561198056704280[U:1:96438552]

1,032Tracked matches45%Win rate2020Tracked since

2,826Hours in CS

CSDB Rating6.1 SolidAggressive Rifler

FaceitLevel 10Top 12.4% of ranked FACEIT players

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	44.3%	52.8%
Shot accuracy	15.1%	13.7%
Kill/death ratio	0.96	1.08
Match win rate	48.3%	49.2%

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Performance scores

Aim76

Positioning55

Utility62

0–100 skill scores via Leetify.

Recent form

STEADY44–46–10Last 10044%Win rateLLWWWWLWWL

Last 10 vs previous 10: +20pp win rate · -0.04 avg rating

Player DNA

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

Aim7.6

Aggression7.5

Utility6.2

Positioning5.5

Opening Duels3.5

Clutch4.8

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 b1t 92% playstyle similarity

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

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. 569ms 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

Aim7.6

Positioning5.5

Utility6.2

Mechanics7.5

Opening Duels3.5

Win Impact3.3

Composite 6.1/10 (Solid), 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 rating0.04−0.02

first ⅓ avg 0.06 → last ⅓ avg 0.04

Reaction time573ms−25ms

first ⅓ avg 598ms → last ⅓ avg 573ms

Headshot accuracy18.8%+0.8%

first ⅓ avg 18.0% → last ⅓ avg 18.8%

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

0.25Best rating — cache 13–5

13–3Biggest win — dust2

6Longest win streak

L2Current streak

7–10In matches decided by ≤2 rounds

7Overtime games

Map breakdown

nukeBest map · 67% over 6mirageWeakest map · 25% over 16

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	51	24–27	47%	0.05
cache	C	17	7–10	41%	0.05
mirage	D	16	4–12	25%	0.04
nuke	S	6	4–2	67%	0.10
inferno	—	3	0–3	0%	0.00
overpass	—	3	3–0	100%	0.08
anubis	—	2	1–1	50%	-0.02
ancient	—	2	1–1	50%	0.00

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (25% over 16). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

147,889Lifetime kills

0.96K/D

4,640Matches

48.3%Match win rate

44.3%Headshot %

15.1%Shot accuracy · Top 50% of Level 10 players

12,845MVPs

2,826Hours (in match)

4,378Bombs planted

1,446Bombs defused

Most-used weapons

AK-4749,790

M4A4 / M4A1-S31,807

AWP12,917

P2000 / USP-S9,317

Desert Eagle5,602

Glock-184,908

FAMAS3,057

P2502,641

Galil AR2,627

UMP-452,534

Lifetime map wins

18,276dust2

6,972inferno

2,700train

2,237nuke

1,957cbble

1,333vertigo

168office

64italy

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

Faceit stats

Combat

1,050Matches

52%Win rate

1.17Avg K/D

81.5ADR

43%Headshot %

Clutches & streaks

44%1v1 clutch win

20%1v2 clutch win

12Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	176	49%	1.07	16.2
Dust2	60	58%	1.13	17.1
Ancient	52	52%	1.08	16.8
Anubis	44	34%	1.08	15.3
Overpass	42	57%	1.21	17.8
Inferno	34	59%	1.06	16.2
Vertigo	18	61%	1.16	15.4
Cache	17	53%	1.31	21.1

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.

18.6%Headshot accuracy

35.4%Accuracy (enemy spotted)

36.0%Spray accuracy

83.6%Counter-strafing

9.2°Preaim

569msReaction time

38.5%T opening success

49.2%CT opening success

0.66Enemies flashed / flash

5.6%Flash assists

9.58HE damage / grenade

9.75Flashes / 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 38.5074% — 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.

25% win rate across 16 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
dust2	7–13	-0.04	17%	26 Aug →
inferno	9–13	-0.08	10%	25 Aug →
dust2	13–8	0.03	21%	22 Aug →
mirage	13–10	0.07	28%	12 Aug →
dust2	13–7	0.14	21%	9 Aug →
cache	13–9	-0.03	13%	9 Aug →
dust2	7–13	-0.09	21%	6 Aug →
dust2	13–11	0.00	18%	6 Aug →
mirage	13–7	-0.01	20%	6 Aug →
cache	2–13	-0.02	13%	6 Aug →
mirage	4–13	0.03	27%	4 Aug →
dust2	13–3	0.10	21%	27 Jul →
dust2	13–9	0.04	20%	21 Jul →
mirage	9–13	-0.03	8%	20 Jul →
dust2	13–8	0.06	20%	17 Jul →
cache	13–4	0.06	35%	17 Jul →
dust2	11–13	0.01	20%	15 Jul →
cache	14–16	0.01	11%	13 Jul →
mirage	11–13	0.10	17%	11 Jul →
cache	10–13	0.03	15%	11 Jul →
cache	13–9	0.06	33%	8 Jul →
dust2	7–13	-0.01	17%	7 Jul →
mirage	14–16	0.06	16%	5 Jul →
nuke	13–6	0.09	13%	4 Jul →
cache	1–13	0.03	24%	4 Jul →
mirage	11–13	-0.01	12%	1 Jul →
mirage	15–15	0.03	20%	1 Jul →
mirage	10–13	0.09	15%	26 Jun →
mirage	11–13	0.06	21%	26 Jun →
dust2	13–3	0.08	21%	25 Jun →
mirage	13–8	0.07	14%	25 Jun →
inferno	9–13	0.16	21%	19 Jun →
nuke	9–4	0.10	17%	19 Jun →
dust2	12–12	0.06	27%	19 Jun →
cache	10–13	0.10	22%	18 Jun →
mirage	15–15	0.11	19%	16 Jun →
anubis	13–10	0.01	13%	16 Jun →
dust2	13–6	0.03	27%	16 Jun →
dust2	13–10	0.11	28%	11 Jun →
nuke	13–11	0.10	11%	11 Jun →
dust2	13–10	-0.01	31%	8 Jun →
nuke	13–4	0.11	36%	8 Jun →
mirage	6–13	0.08	22%	25 May →
nuke	11–13	0.16	24%	22 May →
cache	13–5	0.25	23%	22 May →
anubis	8–13	-0.05	2%	20 May →
dust2	10–13	-0.00	24%	19 May →
mirage	13–3	0.07	11%	18 May →
dust2	13–11	-0.06	12%	18 May →
overpass	13–9	0.02	18%	18 May →
cache	6–13	0.02	8%	18 May →
mirage	5–13	-0.05	21%	18 May →
inferno	2–13	-0.08	19%	18 May →
cache	4–13	0.02	18%	14 May →
overpass	13–6	0.08	25%	13 May →
overpass	16–13	0.16	15%	12 May →
cache	3–13	-0.01	17%	11 May →
cache	5–13	-0.02	27%	8 May →
cache	12–12	0.18	16%	6 May →
dust2	11–13	0.02	28%	4 May →
cache	25–23	0.03	27%	29 Apr →
cache	13–10	0.06	19%	29 Apr →
cache	13–9	0.09	10%	29 Apr →
ancient	11–13	0.02	15%	27 Apr →
dust2	13–6	0.05	26%	27 Apr →
dust2	12–12	0.06	21%	26 Apr →
dust2	7–13	0.05	22%	26 Apr →
mirage	13–16	-0.04	18%	25 Apr →
dust2	13–11	0.08	17%	24 Apr →
dust2	3–11	0.05	19%	24 Apr →
dust2	9–13	0.04	32%	23 Apr →
dust2	12–8	0.07	17%	22 Apr →
ancient	13–3	-0.01	13%	22 Apr →
nuke	10–13	0.02	21%	22 Apr →
dust2	12–12	0.06	14%	22 Apr →
dust2	10–13	0.07	18%	22 Apr →
dust2	5–13	0.04	19%	22 Apr →
dust2	13–6	0.01	18%	21 Apr →
dust2	5–13	0.08	16%	21 Apr →
dust2	12–12	0.01	28%	21 Apr →
dust2	13–9	0.04	16%	21 Apr →
dust2	3–13	0.11	22%	21 Apr →
dust2	13–7	0.16	18%	21 Apr →
dust2	9–13	-0.00	18%	19 Apr →
dust2	9–13	0.06	8%	19 Apr →
dust2	12–12	0.07	11%	19 Apr →
dust2	10–13	0.12	15%	17 Apr →
dust2	12–12	0.05	17%	17 Apr →
dust2	13–8	0.10	27%	17 Apr →
dust2	13–9	0.12	21%	16 Apr →
dust2	13–7	0.06	9%	16 Apr →
dust2	1–5	-0.01	21%	16 Apr →
dust2	13–11	0.03	12%	16 Apr →
dust2	13–8	-0.05	21%	15 Apr →
dust2	8–13	0.09	11%	15 Apr →
dust2	13–6	0.07	14%	15 Apr →
dust2	12–12	0.08	19%	14 Apr →
dust2	13–11	0.18	13%	14 Apr →
dust2	13–8	0.09	12%	13 Apr →
dust2	11–13	0.04	39%	13 Apr →