ZoiTac — CS2 Stats

AT76561198130276049[U:1:170010321]Steam profile ↗✓ No bans

1,693Tracked matches37%Win rate2020Tracked since

2,918Hours in CS

CSDB Rating5.5 SolidHybrid Rifler

FaceitLevel 10 · 2,129 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=3,007), 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%	52.0%
Shot accuracy	10.3%	13.7%
Kill/death ratio	1.36	1.08
Match win rate	45.3%	48.8%

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Performance scores

Aim79

Positioning54

Utility57

0–100 skill scores via Leetify.

Recent form

STEADY48–51–1Last 10048%Win rateWLLLLLLWWW

Last 10 vs previous 10: +20pp win rate · -0.01 avg rating

Player DNA

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

Aim7.9

Aggression5.2

Utility5.7

Positioning5.4

Opening Duels1.1

Clutch3.4

Strong CT-side opener

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 92% 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 →

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 50% on CT to 19% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.9

Positioning5.4

Utility5.7

Mechanics6.1

Opening Duels2.5

Win Impact0.6

Composite 5.5/10 (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 rating-0.01−0.03

first ⅓ avg 0.02 → last ⅓ avg -0.01

Reaction time593ms+43ms

first ⅓ avg 549ms → last ⅓ avg 593ms

Headshot accuracy24.1%+0.9%

first ⅓ avg 23.2% → last ⅓ avg 24.1%

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

0.10Best rating — ancient 13–5

13–0Biggest win — inferno

15Longest win streak

7–3In matches decided by ≤2 rounds

8Overtime games

Map breakdown

ancientBest map · 59% over 32infernoWeakest map · 35% over 20

Map	Grade	Played	Record	Win rate	Avg rating
ancient	A	32	19–13	59%	0.02
dust2	C	21	8–13	38%	0.01
inferno	C	20	7–13	35%	-0.01
anubis	A	19	11–8	58%	0.01
mirage	—	4	0–4	0%	-0.04
nuke	—	2	2–0	100%	-0.01
cache	—	1	0–1	0%	-0.00
overpass	—	1	1–0	100%	0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (35% over 20). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

135,464Lifetime kills

1.36K/D · Top 25% of Level 10 players

4,517Matches

45.3%Match win rate

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

10.3%Shot accuracy

13,388MVPs

2,918Hours (in match)

3,648Bombs planted

1,650Bombs defused

Most-used weapons

AK-4770,886

M4A4 / M4A1-S20,940

AWP10,532

P2000 / USP-S5,075

Desert Eagle4,941

Glock-184,520

FAMAS2,123

Five-SeveN1,810

Tec-91,699

Galil AR1,621

Lifetime map wins

10,620dust2

7,129inferno

1,578nuke

932train

837vertigo

789cbble

100italy

100office

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

Faceit stats

Combat

1,424Matches

50%Win rate

1.23Avg K/D

84.8ADR

47%Headshot %

Clutches & streaks

37%1v1 clutch win

27%1v2 clutch win

14Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	210	48%	1.21	18.6
Mirage	198	52%	1.20	17.7
Dust2	191	50%	1.25	17.5
Anubis	176	49%	1.28	17.9
Inferno	174	49%	1.21	16.9
Nuke	45	47%	1.16	17.8
Overpass	42	52%	1.29	17.1
Vertigo	40	58%	1.37	18.2

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.

24.6%Headshot accuracy

36.9%Accuracy (enemy spotted)

41.9%Spray accuracy

77.4%Counter-strafing

10.7°Preaim

594msReaction time

18.7%T opening success

50.2%CT opening success

0.57Enemies flashed / flash

5.8%Flash assists

9.04HE damage / grenade

11.75Flashes / 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 18.6742% — below the 40% mark we flag

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.

35% win rate across 20 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
ancient	13–9	0.05	24%	11 Aug →
anubis	2–13	-0.08	28%	10 Aug →
dust2	9–13	-0.01	28%	8 Aug →
inferno	9–13	-0.01	34%	8 Aug →
ancient	5–13	-0.06	13%	8 Aug →
inferno	8–13	-0.04	33%	7 Aug →
mirage	15–19	-0.07	14%	5 Aug →
inferno	12–2	0.03	25%	5 Aug →
ancient	16–13	0.02	20%	4 Aug →
ancient	13–11	-0.06	21%	4 Aug →
mirage	8–13	-0.00	17%	3 Aug →
dust2	6–13	0.00	23%	2 Aug →
ancient	13–3	-0.00	44%	2 Aug →
inferno	7–13	-0.08	7%	1 Aug →
inferno	13–9	-0.01	26%	1 Aug →
dust2	8–13	-0.06	53%	1 Aug →
inferno	11–13	-0.03	20%	30 Jul →
ancient	10–13	-0.04	16%	28 Jul →
anubis	10–13	0.01	22%	28 Jul →
dust2	8–13	0.03	28%	28 Jul →
dust2	13–6	0.07	38%	28 Jul →
dust2	8–13	0.05	22%	28 Jul →
inferno	3–13	-0.06	25%	26 Jul →
dust2	13–9	-0.01	24%	26 Jul →
anubis	13–11	0.01	25%	26 Jul →
ancient	13–3	0.09	36%	26 Jul →
inferno	13–16	-0.01	32%	25 Jul →
dust2	13–11	0.01	28%	25 Jul →
ancient	9–13	0.03	19%	25 Jul →
mirage	7–13	-0.08	7%	25 Jul →
dust2	13–5	0.00	20%	25 Jul →
ancient	13–9	0.05	14%	24 Jul →
anubis	5–13	-0.08	11%	23 Jul →
cache	8–13	-0.00	27%	23 Jul →
inferno	13–0	0.02	25%	23 Jul →
inferno	9–6	0.06	29%	23 Jul →
inferno	8–8	0.02	29%	23 Jul →
anubis	6–13	0.04	17%	15 Jul →
ancient	10–13	0.02	25%	15 Jul →
ancient	16–13	0.01	15%	15 Jul →
inferno	11–13	0.01	19%	15 Jul →
dust2	4–13	0.01	22%	15 Jul →
dust2	6–13	-0.01	16%	15 Jul →
inferno	4–13	-0.01	25%	15 Jul →
inferno	0–11	0.01	40%	14 Jul →
anubis	13–2	0.02	13%	14 Jul →
anubis	8–13	0.00	42%	14 Jul →
inferno	8–13	-0.05	10%	13 Jul →
ancient	7–13	-0.00	17%	13 Jul →
anubis	13–10	0.06	21%	13 Jul →
ancient	6–13	-0.06	25%	12 Jul →
ancient	13–5	0.10	25%	12 Jul →
dust2	13–4	-0.00	22%	12 Jul →
anubis	13–11	0.00	15%	12 Jul →
ancient	13–4	-0.03	17%	10 Jul →
nuke	13–5	0.02	35%	10 Jul →
inferno	13–5	0.01	16%	9 Jul →
inferno	13–8	-0.01	14%	9 Jul →
ancient	13–7	0.09	23%	9 Jul →
ancient	13–6	0.02	20%	9 Jul →
ancient	13–11	0.02	18%	8 Jul →
anubis	13–3	0.00	17%	8 Jul →
ancient	13–10	-0.01	19%	8 Jul →
nuke	13–10	-0.03	27%	7 Jul →
anubis	13–9	0.08	31%	7 Jul →
ancient	13–8	0.08	17%	7 Jul →
ancient	5–13	-0.04	14%	6 Jul →
dust2	8–13	0.02	20%	3 Jul →
ancient	3–13	-0.06	25%	3 Jul →
overpass	13–7	0.01	11%	3 Jul →
inferno	6–13	-0.03	25%	3 Jul →
inferno	6–13	-0.00	31%	3 Jul →
anubis	13–10	0.07	35%	2 Jul →
ancient	13–10	0.07	18%	2 Jul →
dust2	9–13	-0.01	22%	2 Jul →
ancient	5–13	-0.04	26%	2 Jul →
inferno	13–2	0.02	27%	1 Jul →
ancient	13–10	0.06	27%	1 Jul →
ancient	9–13	0.01	21%	28 Jun →
dust2	16–12	0.09	34%	28 Jun →
anubis	16–14	-0.01	19%	28 Jun →
dust2	13–9	0.02	21%	28 Jun →
anubis	13–11	0.05	21%	28 Jun →
dust2	13–6	0.01	32%	28 Jun →
anubis	11–13	-0.08	16%	28 Jun →
ancient	13–6	0.08	33%	24 Jun →
ancient	16–13	0.02	23%	24 Jun →
dust2	13–16	0.03	30%	24 Jun →
dust2	8–13	0.04	26%	18 Jun →
anubis	9–13	-0.00	19%	18 Jun →
ancient	9–13	-0.05	16%	18 Jun →
anubis	8–13	0.06	26%	17 Jun →
ancient	7–13	0.05	16%	17 Jun →
ancient	13–10	0.06	9%	17 Jun →
anubis	13–8	0.01	29%	17 Jun →
anubis	13–7	0.07	15%	17 Jun →
ancient	8–13	0.05	23%	17 Jun →
dust2	10–13	-0.02	19%	17 Jun →
dust2	9–13	-0.04	33%	17 Jun →
mirage	8–13	-0.02	19%	17 Jun →