ZeRo — CS2 Stats

DE76561198016684536[U:1:56418808]Steam profile ↗✓ No bans

2,007Tracked matches34%Win rate2020Tracked since

CSDB Rating4.3 Developing

Premier CS Rating24,053Top 25% of 29,473 CSDB-tracked playersPink band · top ~4% of ranked players (population est.)

CSDB Leaderboard#9083 of 55143 tracked

FaceitLevel 8Top 31.2% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim59

Positioning39

Utility69

0–100 skill scores via Leetify.

Recent form

COLD39–54–7Last 10039%Win rateTWLLLLWLLL

Last 10 vs previous 10: +10pp win rate · -0.02 avg rating

Player DNA

Aim5.9

Aggression4.0

Utility6.9

Positioning3.9

Opening Duels0.9

Clutch2.2

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 NiKo 81% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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

Counter-strafing. Only 66% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.9

Positioning3.9

Utility6.9

Mechanics3.6

Opening Duels1.3

Win Impact0.0

Composite 4.3/10 (Developing), 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 rating-0.00−0.05

first ⅓ avg 0.04 → last ⅓ avg -0.00

Reaction time552ms−14ms

first ⅓ avg 567ms → last ⅓ avg 552ms

Headshot accuracy14.6%−1.5%

first ⅓ avg 16.0% → last ⅓ avg 14.6%

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

0.41Best rating — poseidon 9–0

13–0Biggest win — shelter

6Longest win streak

4–6In matches decided by ≤2 rounds

4Overtime games

Map breakdown

officeBest map · 50% over 8nukeWeakest map · 18% over 11

Map	Grade	Played	Record	Win rate	Avg rating
anubis	B	15	7–8	47%	0.02
inferno	D	13	4–9	31%	0.00
nuke	D	11	2–9	18%	0.02
mirage	D	10	2–8	20%	-0.01
ancient	D	9	3–6	33%	-0.01
cache	D	9	2–7	22%	-0.01
train	C	9	4–5	44%	0.01
office	B	8	4–4	50%	0.02
vertigo	—	3	3–0	100%	0.08
dust2	—	2	1–1	50%	0.01
shelter	—	2	2–0	100%	0.07
poseidon	—	2	1–1	50%	0.08
italy	—	2	1–1	50%	0.07
debris	—	1	0–1	0%	-0.20
boulder	—	1	1–0	100%	0.05
fachwerk	—	1	1–0	100%	-0.01
alpine	—	1	0–1	0%	0.02
sanctum	—	1	1–0	100%	0.12

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

338Matches

52%Win rate

1.24Avg K/D

89.3ADR

33%Headshot %

Clutches & streaks

31%1v1 clutch win

34%1v2 clutch win

5Longest win streak

Recent Faceit resultsLWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	36	50%	1.08	16.9
Inferno	31	45%	1.26	16.6
Mirage	25	52%	1.64	17.9
Ancient	21	71%	1.18	16.6
Nuke	15	67%	1.80	20.2
Vertigo	8	12%	0.91	14.6
Dust2	7	43%	1.07	15.4
Train	6	83%	1.66	24.3

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.

14.0%Headshot accuracy

32.5%Accuracy (enemy spotted)

39.7%Spray accuracy

66.1%Counter-strafing

9.2°Preaim

544msReaction time

26.9%T opening success

40.2%CT opening success

0.60Enemies flashed / flash

5.6%Flash assists

11.94HE damage / grenade

11.10Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.0234% — below the 15% mark we flag
Aim Training →
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 26.9057% — below the 40% mark we flag

Spend your practice time on Nuke

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

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	15–15	0.03	8%	29 Aug →
office	13–6	0.02	8%	28 Aug →
anubis	8–13	-0.02	14%	25 Aug →
ancient	7–13	-0.07	11%	25 Aug →
inferno	5–13	-0.06	10%	18 Aug →
nuke	11–13	-0.00	8%	18 Aug →
inferno	13–10	-0.05	4%	17 Aug →
nuke	2–13	0.04	18%	14 Aug →
inferno	9–13	-0.02	18%	13 Aug →
anubis	10–13	0.00	12%	13 Aug →
ancient	4–13	-0.04	10%	9 Aug →
mirage	5–13	0.06	26%	7 Aug →
dust2	4–13	-0.02	15%	5 Aug →
cache	3–13	-0.03	14%	3 Aug →
nuke	13–6	0.17	22%	2 Aug →
mirage	6–13	0.01	10%	1 Aug →
ancient	12–16	0.03	10%	1 Aug →
ancient	10–13	-0.01	14%	1 Aug →
anubis	1–13	-0.04	8%	30 Jul →
mirage	2–11	-0.10	5%	30 Jul →
shelter	13–0	0.14	18%	30 Jul →
inferno	4–13	-0.05	15%	28 Jul →
mirage	13–2	-0.03	21%	28 Jul →
nuke	13–9	-0.01	18%	28 Jul →
dust2	13–9	0.03	12%	28 Jul →
nuke	4–13	-0.00	23%	26 Jul →
anubis	13–7	0.13	16%	26 Jul →
ancient	13–8	-0.01	14%	26 Jul →
inferno	13–9	-0.00	17%	26 Jul →
nuke	5–13	-0.06	33%	26 Jul →
anubis	13–10	-0.05	17%	25 Jul →
ancient	10–13	-0.03	15%	24 Jul →
inferno	2–13	-0.03	18%	22 Jul →
anubis	13–7	0.05	11%	21 Jul →
inferno	15–15	0.05	15%	18 Jul →
mirage	13–11	-0.03	10%	16 Jul →
office	13–5	0.00	24%	14 Jul →
debris	7–9	-0.20	6%	13 Jul →
anubis	13–6	0.08	14%	11 Jul →
boulder	13–9	0.05	21%	9 Jul →
fachwerk	13–3	-0.01	25%	9 Jul →
shelter	13–9	0.00	22%	9 Jul →
train	13–5	0.04	9%	7 Jul →
ancient	13–9	0.00	27%	3 Jul →
inferno	5–13	-0.02	21%	2 Jul →
nuke	10–13	-0.06	22%	1 Jul →
nuke	2–13	0.03	20%	30 Jun →
office	13–1	-0.03	21%	27 Jun →
mirage	6–13	-0.01	9%	27 Jun →
train	11–13	-0.03	14%	27 Jun →
cache	10–13	-0.01	17%	27 Jun →
ancient	8–13	-0.03	16%	25 Jun →
nuke	15–15	0.01	19%	25 Jun →
mirage	11–13	-0.01	10%	23 Jun →
poseidon	2–9	-0.24	18%	22 Jun →
mirage	4–13	-0.04	13%	22 Jun →
train	10–13	-0.05	19%	22 Jun →
train	13–11	-0.00	23%	21 Jun →
train	13–6	0.04	15%	15 Jun →
cache	13–4	-0.01	11%	15 Jun →
alpine	9–13	0.02	10%	8 Jun →
vertigo	13–3	0.10	15%	3 Jun →
vertigo	13–4	0.08	21%	3 Jun →
anubis	0–6	-0.07	0%	2 Jun →
inferno	13–9	0.04	10%	2 Jun →
inferno	11–13	0.05	18%	30 May →
anubis	13–8	-0.01	14%	27 May →
italy	13–11	0.10	10%	22 May →
mirage	4–13	0.01	9%	18 May →
inferno	11–13	0.05	15%	17 May →
office	6–13	0.05	16%	17 May →
office	12–12	0.06	8%	15 May →
cache	12–12	-0.02	19%	12 May →
cache	6–13	-0.02	24%	12 May →
cache	1–13	-0.06	15%	7 May →
nuke	10–13	0.04	22%	5 May →
cache	8–13	0.02	13%	1 May →
cache	12–12	-0.03	7%	30 Apr →
anubis	13–7	-0.03	16%	29 Apr →
cache	13–11	0.08	18%	29 Apr →
anubis	13–5	0.07	4%	28 Apr →
train	8–13	-0.03	16%	28 Apr →
train	0–8	-0.02	0%	27 Apr →
train	12–12	0.01	13%	27 Apr →
inferno	13–10	0.05	14%	21 Apr →
mirage	7–13	0.01	22%	16 Apr →
ancient	13–9	0.12	17%	14 Apr →
vertigo	13–7	0.06	14%	10 Apr →
sanctum	9–5	0.12	12%	10 Apr →
anubis	9–13	0.05	16%	7 Apr →
anubis	3–13	0.03	15%	3 Apr →
anubis	8–13	-0.00	16%	1 Apr →
inferno	7–13	0.02	22%	31 Mar →
poseidon	9–0	0.41	13%	31 Mar →
nuke	6–9	0.06	21%	31 Mar →
train	13–9	0.12	26%	27 Mar →
italy	1–6	0.03	35%	22 Mar →
office	13–4	0.02	20%	22 Mar →
office	4–13	-0.01	24%	21 Mar →
office	7–13	0.08	18%	20 Mar →