holmZ ⚡ — CS2 Stats

76561197975021569[U:1:14755841]✓ No bans

2,038Tracked matches36%Win rate2020Tracked since

CSDB Rating6.1 SolidAggressive Rifler

Premier CS Rating25,855Top 25% of 819 CSDB-tracked playersRed band · top ~2.6% of ranked players (population est.)

CSDB Leaderboard#1020 of 8430 tracked

FaceitLevel 7Top 42.3% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

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Performance scores

Aim74

Positioning58

Utility72

0–100 skill scores via Leetify.

Recent form

COLD37–57–6Last 10037%Win rateLWLLLLLWLL

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

Player DNA

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

Aim7.4

Aggression8.7

Utility7.2

Positioning5.8

Opening Duels4.8

Clutch0.0

Strong CT-side openerEffective flashes

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 ZywOo 90% playstyle similarity

Most alike: utility contribution, 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

Strengths

Flashes. 0.75 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 57% on CT to 42% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 580ms 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

Aim7.4

Positioning5.8

Utility7.2

Mechanics5.8

Opening Duels4.8

Win Impact0.2

Composite 6.1/10 (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 rating0.02−0.02

first ⅓ avg 0.04 → last ⅓ avg 0.02

Reaction time575ms−27ms

first ⅓ avg 602ms → last ⅓ avg 575ms

Headshot accuracy20.8%−1.0%

first ⅓ avg 21.8% → last ⅓ avg 20.8%

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

0.22Best rating — poseidon 9–2

13–2Biggest win — ancient

4Longest win streak

6–13In matches decided by ≤2 rounds

10Overtime games

Map breakdown

cacheBest map · 56% over 9ancientWeakest map · 26% over 23

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	28	11–17	39%	0.05
ancient	D	23	6–17	26%	0.03
anubis	D	15	5–10	33%	0.06
overpass	D	10	3–7	30%	0.04
cache	A	9	5–4	56%	0.04
nuke	D	7	2–5	29%	0.03
dust2	—	3	1–2	33%	0.03
mirage	—	2	2–0	100%	0.08
office	—	1	0–1	0%	0.07
alpine	—	1	1–0	100%	0.03
poseidon	—	1	1–0	100%	0.22

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (26% over 23). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

513Matches

52%Win rate

1.20Avg K/D

88.9ADR

35%Headshot %

Clutches & streaks

0%1v1 clutch win

40%1v2 clutch win

12Longest win streak

Recent Faceit resultsLLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	6	33%	1.17	17.5
Inferno	6	67%	1.09	18.0
Mirage	5	20%	0.97	19.6
Ancient	3	67%	1.20	17.0
Nuke	2	50%	1.01	17.5
Vertigo	2	50%	1.66	20.5
Dust2	1	0%	0.79	15.0
Train	1	0%	0.78	14.0

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.

21.4%Headshot accuracy

36.4%Accuracy (enemy spotted)

36.5%Spray accuracy

76.0%Counter-strafing

9.8°Preaim

580msReaction time

41.8%T opening success

56.9%CT opening success

0.75Enemies flashed / flash

11.1%Flash assists

10.90HE damage / grenade

10.45Flashes / match

Recommended for you

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.

26% win rate across 23 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	11–13	0.01	26%	25 Aug →
mirage	13–10	0.03	22%	25 Aug →
ancient	9–13	0.01	24%	18 Aug →
inferno	6–13	-0.01	18%	18 Aug →
anubis	11–13	0.03	24%	13 Aug →
ancient	5–13	0.01	12%	13 Aug →
inferno	11–13	-0.06	17%	11 Aug →
inferno	13–7	0.13	20%	10 Aug →
anubis	6–13	0.05	19%	10 Aug →
anubis	8–13	0.06	29%	9 Aug →
ancient	4–13	-0.01	17%	9 Aug →
inferno	13–10	0.01	30%	9 Aug →
inferno	6–13	0.02	34%	9 Aug →
anubis	3–13	-0.02	13%	2 Aug →
dust2	16–12	0.05	17%	30 Jul →
nuke	15–15	-0.02	19%	30 Jul →
ancient	7–13	-0.04	23%	30 Jul →
inferno	13–4	0.04	9%	30 Jul →
ancient	5–13	0.07	21%	27 Jul →
inferno	11–13	0.04	18%	27 Jul →
overpass	11–13	0.02	24%	26 Jul →
nuke	13–9	0.09	25%	26 Jul →
overpass	13–5	0.08	35%	26 Jul →
ancient	5–13	-0.04	14%	26 Jul →
cache	0–13	-0.06	20%	26 Jul →
cache	13–10	0.02	21%	25 Jul →
cache	13–5	-0.03	15%	25 Jul →
inferno	8–13	0.01	18%	25 Jul →
inferno	15–15	0.04	31%	24 Jul →
ancient	16–14	0.02	20%	24 Jul →
anubis	8–13	0.04	10%	24 Jul →
mirage	9–2	0.12	28%	24 Jul →
cache	10–13	0.05	15%	24 Jul →
nuke	8–13	0.07	17%	24 Jul →
nuke	8–13	-0.06	20%	23 Jul →
inferno	13–10	0.07	31%	23 Jul →
anubis	16–14	0.05	24%	23 Jul →
ancient	9–13	-0.03	14%	23 Jul →
cache	3–13	0.09	37%	23 Jul →
inferno	13–10	0.03	19%	20 Jul →
anubis	11–13	0.06	25%	20 Jul →
cache	13–11	0.10	16%	20 Jul →
ancient	13–8	0.10	21%	20 Jul →
anubis	13–11	0.03	17%	18 Jul →
inferno	13–6	0.04	17%	18 Jul →
nuke	11–13	0.06	14%	18 Jul →
nuke	13–3	0.08	25%	12 Jul →
inferno	9–13	0.02	16%	12 Jul →
ancient	13–2	0.20	24%	12 Jul →
anubis	8–13	0.14	20%	12 Jul →
inferno	2–4	0.04	100%	12 Jul →
cache	13–11	0.14	19%	12 Jul →
cache	13–9	0.06	22%	9 Jul →
anubis	13–8	0.11	25%	9 Jul →
inferno	13–3	0.14	11%	9 Jul →
inferno	8–13	0.11	19%	9 Jul →
office	11–13	0.07	15%	8 Jul →
alpine	13–8	0.03	21%	7 Jul →
inferno	13–7	0.08	15%	7 Jul →
inferno	6–13	0.08	35%	2 Jul →
anubis	13–2	0.16	14%	2 Jul →
overpass	11–13	0.00	20%	2 Jul →
ancient	2–13	0.02	17%	2 Jul →
inferno	13–7	0.08	18%	30 Jun →
ancient	7–13	-0.02	21%	30 Jun →
inferno	15–15	0.01	17%	29 Jun →
ancient	13–6	0.08	19%	29 Jun →
overpass	5–13	0.06	14%	29 Jun →
ancient	3–13	-0.03	19%	28 Jun →
inferno	11–13	0.02	19%	28 Jun →
overpass	13–16	0.05	20%	28 Jun →
anubis	7–13	0.05	18%	21 Jun →
dust2	9–13	0.03	17%	21 Jun →
inferno	8–13	0.05	33%	21 Jun →
poseidon	9–2	0.22	39%	16 Jun →
inferno	8–8	0.07	20%	16 Jun →
inferno	3–13	0.04	22%	15 Jun →
ancient	1–13	-0.05	32%	15 Jun →
overpass	13–9	0.04	19%	14 Jun →
anubis	15–15	0.06	14%	14 Jun →
overpass	8–13	0.01	30%	13 Jun →
overpass	15–15	0.07	18%	12 Jun →
inferno	13–6	0.06	7%	11 Jun →
ancient	13–9	0.04	18%	11 Jun →
inferno	13–11	0.06	18%	10 Jun →
ancient	9–13	0.03	17%	10 Jun →
ancient	8–13	0.09	18%	8 Jun →
anubis	6–13	0.02	30%	8 Jun →
inferno	11–13	0.06	14%	25 May →
anubis	16–12	0.03	21%	21 May →
overpass	3–13	-0.02	22%	21 May →
nuke	4–13	-0.01	25%	21 May →
ancient	11–13	0.02	13%	20 May →
ancient	13–7	0.11	25%	20 May →
ancient	6–13	0.10	30%	19 May →
dust2	3–13	0.03	20%	19 May →
ancient	4–13	0.02	37%	19 May →
inferno	3–13	0.01	14%	18 May →
ancient	4–13	0.03	23%	18 May →
overpass	13–9	0.05	35%	15 May →