Zorro — CS2 Stats

76561198117423262[U:1:157157534]

809Tracked matches54%Win rate2020Tracked since

CSDB Rating5.7 SolidHybrid Rifler

FaceitLevel 9Top 20.7% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim72

Positioning46

Utility29

0–100 skill scores via Leetify.

Recent form

COLD50–44–6Last 10050%Win rateLLWWLLLWLL

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

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

Aim7.2

Aggression5.9

Utility2.9

Positioning4.6

Opening Duels1.9

Excellent counter-strafingLimited utility dependence

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 84% playstyle similarity

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

Where you differ: lower aim profile; lower utility contribution.

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

Strengths

Counter-strafing. 90% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 604ms 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

Aim7.2

Positioning4.6

Utility2.9

Mechanics8.9

Opening Duels1.9

Win Impact6.3

Composite 5.7/10 (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 rating0.01+0.00

first ⅓ avg 0.00 → last ⅓ avg 0.01

Reaction time607ms+15ms

first ⅓ avg 592ms → last ⅓ avg 607ms

Headshot accuracy17.2%−3.6%

first ⅓ avg 20.7% → last ⅓ avg 17.2%

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

0.19Best rating — dust2 13–2

13–0Biggest win — cache

5Longest win streak

L2Current streak

6–10In matches decided by ≤2 rounds

2Overtime games

Map breakdown

dust2Best map · 75% over 16ancientWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	17	8–9	47%	0.00
dust2	S	16	12–4	75%	0.02
nuke	A	12	7–5	58%	0.02
mirage	B	12	6–6	50%	0.01
vertigo	B	11	5–6	45%	-0.01
overpass	S	9	6–3	67%	0.01
anubis	D	7	2–5	29%	-0.05
ancient	D	6	1–5	17%	-0.00
cache	—	3	1–2	33%	0.01
italy	—	2	0–2	0%	-0.00
stronghold	—	1	0–1	0%	-0.02
edin	—	1	1–0	100%	-0.00
train	—	1	1–0	100%	0.04
thera	—	1	0–1	0%	-0.07
mills	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

17.1%Headshot accuracy

32.1%Accuracy (enemy spotted)

33.4%Spray accuracy

90.2%Counter-strafing

8.4°Preaim

604msReaction time

31.8%T opening success

43.6%CT opening success

0.56Enemies flashed / flash

8.1%Flash assists

7.41HE damage / grenade

2.90Flashes / 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.

Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.9021 — below the 4 mark we flag
Grenade Lineups →
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 31.7591% — below the 40% mark we flag

Spend your practice time on Ancient

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	10–13	-0.10	12%	20 Aug →
nuke	5–13	-0.10	15%	30 Jul →
nuke	13–6	0.06	16%	1 May →
cache	13–0	0.14	19%	1 May →
cache	11–13	-0.02	14%	1 May →
italy	11–13	-0.03	14%	23 Jan →
stronghold	9–13	-0.02	5%	23 Jan →
overpass	13–3	0.06	14%	23 Jan →
dust2	9–13	-0.03	28%	11 Jan →
inferno	6–13	-0.05	26%	11 Jan →
inferno	13–9	-0.02	23%	9 Jan →
inferno	3–6	0.07	24%	21 Sept →
overpass	13–4	0.06	20%	9 Aug →
vertigo	12–12	-0.02	12%	9 Aug →
dust2	13–3	0.05	15%	9 Aug →
mirage	13–1	0.04	15%	9 Aug →
inferno	16–14	0.02	14%	12 Apr →
anubis	6–13	-0.07	16%	12 Apr →
inferno	11–13	-0.04	10%	6 Apr →
mirage	12–12	0.05	27%	21 Mar →
inferno	10–13	-0.02	5%	15 Mar →
dust2	13–9	0.06	34%	15 Mar →
nuke	13–6	0.06	14%	15 Mar →
ancient	15–15	-0.02	18%	3 Mar →
nuke	13–6	0.01	2%	23 Feb →
edin	13–11	-0.00	18%	2 Feb →
ancient	8–13	0.00	30%	2 Feb →
ancient	13–7	0.03	11%	11 Jan →
inferno	12–12	-0.03	26%	7 Dec →
train	13–11	0.04	18%	7 Dec →
italy	7–13	0.02	21%	25 Oct →
overpass	13–11	0.02	17%	25 Oct →
dust2	13–6	0.04	14%	25 Oct →
vertigo	13–9	0.00	7%	19 Oct →
inferno	13–9	0.01	18%	19 Oct →
nuke	13–7	0.04	20%	19 Oct →
overpass	11–13	-0.02	9%	5 Oct →
nuke	13–1	0.08	17%	5 Oct →
vertigo	13–6	0.05	23%	25 Aug →
ancient	11–13	0.03	15%	25 Aug →
dust2	2–13	-0.04	26%	25 Aug →
dust2	13–11	-0.02	13%	24 Aug →
thera	6–13	-0.07	19%	24 Aug →
nuke	13–9	-0.10	14%	2 Aug →
mills	4–13	-0.01	20%	2 Aug →
anubis	10–13	-0.09	14%	31 Jul →
nuke	8–13	-0.04	16%	31 Jul →
inferno	10–13	-0.03	8%	23 Jul →
ancient	11–13	-0.03	8%	23 Jul →
mirage	13–7	0.01	11%	25 May →
vertigo	7–13	-0.10	13%	25 May →
dust2	13–10	0.00	12%	20 May →
anubis	13–10	-0.00	15%	10 May →
inferno	13–7	0.02	15%	10 May →
overpass	13–4	0.00	21%	10 May →
dust2	13–2	0.19	33%	5 May →
vertigo	11–13	-0.03	16%	5 May →
inferno	13–8	0.02	19%	21 Apr →
mirage	8–13	-0.05	14%	21 Apr →
inferno	6–13	0.04	35%	18 Apr →
dust2	8–13	-0.01	11%	18 Apr →
mirage	8–13	0.03	33%	8 Apr →
dust2	13–5	0.10	24%	8 Apr →
ancient	10–13	-0.03	11%	5 Apr →
inferno	13–5	-0.01	28%	5 Apr →
vertigo	12–12	-0.08	28%	5 Apr →
anubis	8–13	-0.00	14%	29 Mar →
vertigo	13–2	0.07	14%	29 Mar →
mirage	11–2	0.04	32%	10 Mar →
overpass	7–13	-0.01	23%	10 Mar →
dust2	13–9	0.00	16%	10 Mar →
dust2	11–13	-0.03	23%	5 Mar →
vertigo	11–13	-0.02	16%	5 Mar →
mirage	13–4	0.04	26%	5 Mar →
inferno	12–12	-0.03	18%	3 Mar →
mirage	10–13	-0.01	21%	3 Mar →
nuke	4–0	0.16	31%	3 Mar →
mirage	4–13	-0.05	11%	27 Feb →
anubis	13–10	-0.05	8%	27 Feb →
overpass	13–3	-0.00	22%	27 Feb →
overpass	9–13	-0.00	20%	18 Feb →
dust2	13–2	0.05	18%	18 Feb →
nuke	9–13	0.02	33%	15 Feb →
dust2	13–5	-0.02	32%	15 Feb →
inferno	2–13	-0.08	11%	15 Feb →
mirage	13–4	0.03	16%	9 Feb →
anubis	6–13	-0.05	19%	9 Feb →
dust2	13–9	-0.02	27%	9 Feb →
vertigo	13–6	0.02	35%	5 Feb →
nuke	10–13	-0.03	20%	5 Feb →
anubis	8–13	-0.08	6%	3 Feb →
overpass	13–10	-0.02	19%	3 Feb →
mirage	13–11	0.03	9%	29 Jan →
nuke	10–13	0.06	25%	29 Jan →
mirage	11–13	-0.02	26%	20 Jan →
inferno	13–3	0.07	25%	20 Jan →
dust2	13–7	-0.03	23%	14 Jan →
vertigo	7–13	-0.06	22%	14 Jan →
inferno	13–7	0.07	21%	11 Jan →
vertigo	13–4	0.07	18%	11 Jan →