Hoko — CS2 Stats

NZ76561198173879181[U:1:213613453]Steam profile ↗✓ No bans

1,383Tracked matches54%Win rate2020Tracked since

CSDB Rating3.5 Learning

Premier CS Rating8,389Light Blue band · top ~62.6% of ranked players (population est.)

CSDB Leaderboard#41634 of 56428 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim35

Positioning39

Utility52

0–100 skill scores via Leetify.

Recent form

STEADY49–42–9Last 10049%Win rateWTTLLWTLWW

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

Player DNA

Aim3.5

Aggression4.9

Utility5.2

Positioning3.9

Opening Duels0.8

Clutch0.0

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 76% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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

T-side openings. Opening success drops from 46% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 634ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% 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

Aim3.5

Positioning3.9

Utility5.2

Mechanics3.2

Opening Duels2.0

Win Impact6.3

Composite 3.5/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.01

first ⅓ avg -0.02 → last ⅓ avg -0.01

Reaction time629ms+33ms

first ⅓ avg 596ms → last ⅓ avg 629ms

Headshot accuracy9.7%−4.0%

first ⅓ avg 13.7% → last ⅓ avg 9.7%

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

0.18Best rating — nuke 13–5

13–1Biggest win — anubis

7Longest win streak

4–7In matches decided by ≤2 rounds

1Overtime games

Map breakdown

anubisBest map · 100% over 7mirageWeakest map · 38% over 8

Map	Grade	Played	Record	Win rate	Avg rating
cache	C	55	23–32	42%	-0.02
mirage	C	8	3–5	38%	-0.03
dust2	A	8	5–3	63%	-0.01
nuke	A	7	4–3	57%	0.03
ancient	C	7	3–4	43%	-0.01
anubis	S	7	7–0	100%	0.05
overpass	—	3	2–1	67%	-0.02
inferno	—	2	0–2	0%	-0.01
vertigo	—	2	1–1	50%	-0.01
train	—	1	1–0	100%	0.09

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

42Matches

45%Win rate

0.89Avg K/D

63.0ADR

41%Headshot %

Clutches & streaks

17%1v1 clutch win

0%1v2 clutch win

4Longest win streak

Recent Faceit resultsLWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	7	43%	0.63	9.4
Anubis	7	29%	0.60	10.3
Inferno	6	67%	1.29	15.8
Vertigo	4	50%	1.16	13.0
Ancient	4	25%	0.75	15.5
Dust2	2	0%	0.38	6.5
Cache	2	100%	0.77	11.0
Overpass	1	0%	0.73	11.0

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.

9.6%Headshot accuracy

31.5%Accuracy (enemy spotted)

33.6%Spray accuracy

64.4%Counter-strafing

9.6°Preaim

634msReaction time

20.8%T opening success

45.7%CT opening success

0.47Enemies flashed / flash

3.8%Flash assists

9.50HE damage / grenade

8.61Flashes / 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 9.6271% — below the 15% mark we flag
Aim Training →
Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4744 — below the 0.5 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 20.7988% — 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.

38% win rate across 8 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
cache	13–2	0.07	7%	25 Jul →
overpass	12–12	-0.04	11%	9 Jul →
mirage	12–12	-0.05	4%	9 Jul →
nuke	1–13	-0.06	19%	7 Jul →
cache	3–13	-0.07	19%	7 Jul →
mirage	13–2	0.00	14%	6 Jul →
dust2	12–12	0.08	9%	6 Jul →
ancient	9–13	-0.02	5%	4 Jul →
nuke	13–6	0.01	15%	4 Jul →
cache	13–4	-0.03	13%	4 Jul →
cache	13–9	-0.01	16%	4 Jul →
dust2	13–8	-0.06	9%	3 Jul →
dust2	11–13	-0.03	9%	3 Jul →
cache	3–13	0.00	9%	2 Jul →
ancient	6–13	-0.12	9%	2 Jul →
cache	13–8	-0.05	10%	2 Jul →
dust2	13–10	-0.02	4%	2 Jul →
ancient	5–13	-0.06	6%	2 Jul →
anubis	13–3	0.02	7%	1 Jul →
cache	12–12	0.09	7%	1 Jul →
mirage	4–13	-0.04	6%	1 Jul →
dust2	13–4	0.03	8%	30 Jun →
overpass	13–5	-0.03	13%	29 Jun →
nuke	13–11	0.02	13%	29 Jun →
cache	5–13	0.02	10%	29 Jun →
dust2	13–9	0.01	11%	28 Jun →
cache	9–13	-0.04	8%	27 Jun →
cache	3–12	-0.04	6%	27 Jun →
mirage	13–5	0.04	14%	27 Jun →
cache	4–13	-0.12	0%	26 Jun →
cache	10–13	-0.01	10%	26 Jun →
train	13–6	0.09	10%	26 Jun →
ancient	13–3	0.03	8%	26 Jun →
cache	13–7	-0.03	16%	25 Jun →
cache	2–13	-0.00	9%	25 Jun →
mirage	2–13	-0.04	11%	25 Jun →
nuke	7–13	-0.06	15%	25 Jun →
dust2	13–6	0.00	24%	25 Jun →
anubis	13–1	0.15	12%	25 Jun →
mirage	12–12	-0.04	13%	24 Jun →
inferno	7–13	-0.09	13%	22 Jun →
cache	11–13	-0.07	11%	22 Jun →
cache	12–12	-0.04	6%	22 Jun →
cache	6–13	0.02	4%	22 Jun →
nuke	10–13	-0.02	18%	21 Jun →
cache	12–12	0.01	8%	21 Jun →
cache	13–3	0.03	20%	21 Jun →
mirage	3–13	-0.04	15%	20 Jun →
cache	11–13	0.01	13%	20 Jun →
cache	13–10	-0.04	6%	19 Jun →
anubis	16–14	0.04	8%	19 Jun →
anubis	13–8	0.14	11%	19 Jun →
ancient	13–5	0.04	8%	18 Jun →
cache	13–11	-0.02	16%	18 Jun →
cache	13–1	0.00	13%	18 Jun →
cache	13–7	-0.04	7%	18 Jun →
cache	7–13	-0.01	15%	17 Jun →
cache	7–13	0.01	20%	17 Jun →
ancient	6–13	-0.01	7%	16 Jun →
cache	13–3	-0.01	10%	16 Jun →
mirage	13–8	-0.05	23%	16 Jun →
nuke	13–5	0.14	11%	16 Jun →
cache	13–5	-0.05	9%	15 Jun →
cache	13–1	0.02	11%	15 Jun →
anubis	13–7	-0.03	4%	15 Jun →
nuke	13–5	0.18	13%	14 Jun →
cache	7–13	0.03	15%	13 Jun →
vertigo	6–13	-0.07	3%	13 Jun →
vertigo	13–9	0.05	10%	13 Jun →
cache	13–9	-0.02	15%	12 Jun →
cache	11–13	-0.07	9%	12 Jun →
dust2	8–13	-0.04	15%	12 Jun →
overpass	13–3	0.02	9%	11 Jun →
cache	13–4	-0.03	9%	11 Jun →
cache	7–13	-0.00	13%	10 Jun →
cache	10–13	-0.04	10%	10 Jun →
cache	4–13	-0.02	19%	10 Jun →
ancient	13–7	0.05	15%	9 Jun →
inferno	5–13	0.08	18%	9 Jun →
anubis	13–10	-0.02	17%	8 Jun →
cache	13–6	-0.08	13%	8 Jun →
cache	13–11	0.03	15%	8 Jun →
cache	13–10	0.09	23%	7 Jun →
anubis	13–9	0.02	16%	7 Jun →
cache	2–13	-0.08	23%	28 May →
cache	11–13	-0.05	12%	28 May →
cache	13–4	-0.03	6%	27 May →
cache	3–13	-0.12	14%	27 May →
cache	13–5	-0.00	24%	22 May →
cache	12–12	-0.06	10%	21 May →
cache	11–13	-0.02	4%	20 May →
cache	10–13	-0.02	11%	19 May →
cache	11–13	-0.03	3%	19 May →
cache	13–9	-0.04	12%	17 May →
cache	13–5	-0.02	19%	16 May →
cache	9–13	-0.08	13%	15 May →
cache	12–12	-0.06	16%	15 May →
cache	4–13	-0.06	23%	13 May →
cache	13–4	0.08	20%	13 May →
cache	6–13	-0.08	11%	12 May →