HonkyJonky — CS2 Stats

76561198313380855[U:1:353115127]✓ No bans

1,186Tracked matches26%Win rate2021Tracked since

CSDB Rating3.5 Learning

Premier CS Rating14,039Blue band · top ~33.5% of ranked players (population est.)

CSDB Leaderboard#34597 of 54593 tracked

FaceitLevel 5Top 67.6% of ranked FACEIT players

WingmanGold Nova II

Ladder ranks via Leetify

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Performance scores

Aim41

Positioning44

Utility30

0–100 skill scores via Leetify.

Recent form

STEADY44–49–7Last 10044%Win rateLWWWLWWLLT

Last 10 vs previous 10: +30pp win rate · +0.00 avg rating

Player DNA

Aim4.1

Aggression6.0

Utility3.0

Positioning4.4

Opening Duels1.3

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 75% playstyle similarity

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

Where you differ: lower utility contribution; 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

Reaction time. 598ms 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

Aim4.1

Positioning4.4

Utility3.0

Mechanics6.8

Opening Duels1.3

Win Impact0.0

Composite 3.5/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.02

first ⅓ avg -0.02 → last ⅓ avg -0.04

Reaction time604ms−39ms

first ⅓ avg 643ms → last ⅓ avg 604ms

Headshot accuracy12.7%−1.4%

first ⅓ avg 14.1% → last ⅓ avg 12.7%

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

0.08Best rating — nuke 13–4

13–2Biggest win — anubis

8Longest win streak

9–9In matches decided by ≤2 rounds

14Overtime games

Map breakdown

nukeBest map · 61% over 18mirageWeakest map · 20% over 15

Map	Grade	Played	Record	Win rate	Avg rating
ancient	B	19	10–9	53%	-0.02
anubis	B	19	9–10	47%	-0.02
nuke	A	18	11–7	61%	-0.03
mirage	D	15	3–12	20%	-0.02
cache	D	7	2–5	29%	-0.05
dust2	A	7	4–3	57%	-0.02
inferno	B	6	3–3	50%	-0.05
overpass	—	3	1–2	33%	-0.06
vertigo	—	2	1–1	50%	-0.01
office	—	2	0–2	0%	-0.06
train	—	1	0–1	0%	-0.04
poseidon	—	1	0–1	0%	0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (20% over 15). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

25Matches

52%Win rate

0.76Avg K/D

63.9ADR

36%Headshot %

Clutches & streaks

20%1v1 clutch win

18%1v2 clutch win

3Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	5	80%	0.83	11.6
Vertigo	4	0%	0.61	12.5
Anubis	4	50%	1.23	11.3
Ancient	3	67%	0.67	14.7
Inferno	3	67%	0.61	7.0
Dust2	2	50%	0.90	14.5
Train	1	0%	0.41	7.0
Mirage	1	0%	0.25	4.0

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.

12.3%Headshot accuracy

26.8%Accuracy (enemy spotted)

25.6%Spray accuracy

80.4%Counter-strafing

9.6°Preaim

598msReaction time

33.6%T opening success

36.6%CT opening success

0.38Enemies flashed / flash

1.3%Flash assists

8.27HE damage / grenade

3.97Flashes / 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 12.287% — 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 0.3801 — 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 33.6456% — 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.

20% win rate across 15 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
nuke	7–13	-0.07	11%	16 Aug →
nuke	16–14	-0.01	16%	13 Aug →
vertigo	13–8	0.02	20%	13 Aug →
nuke	13–9	0.02	12%	11 Aug →
ancient	11–13	-0.07	16%	11 Aug →
anubis	13–9	-0.03	9%	5 Aug →
nuke	13–7	0.00	11%	5 Aug →
ancient	6–13	-0.06	5%	5 Aug →
cache	8–13	-0.10	21%	4 Aug →
anubis	15–15	-0.06	11%	2 Aug →
ancient	13–3	-0.01	12%	2 Aug →
ancient	4–13	0.01	13%	2 Aug →
nuke	15–15	-0.04	10%	2 Aug →
anubis	14–16	0.01	9%	1 Aug →
mirage	7–13	-0.04	6%	1 Aug →
dust2	13–6	0.03	8%	29 Jul →
dust2	3–13	-0.11	9%	29 Jul →
inferno	0–13	-0.12	0%	28 Jul →
train	5–13	-0.04	3%	25 Jul →
nuke	5–13	-0.09	5%	25 Jul →
anubis	11–13	-0.01	20%	25 Jul →
anubis	11–13	-0.04	15%	25 Jul →
cache	7–13	-0.07	19%	25 Jul →
office	12–12	-0.06	18%	22 Jul →
nuke	14–16	-0.05	9%	17 Jul →
mirage	9–13	-0.06	15%	17 Jul →
ancient	1–13	-0.07	18%	16 Jul →
cache	4–13	-0.04	12%	16 Jul →
cache	2–13	-0.05	19%	15 Jul →
ancient	11–13	0.00	11%	12 Jul →
vertigo	8–8	-0.03	15%	12 Jul →
cache	13–6	0.00	15%	12 Jul →
mirage	3–13	-0.02	25%	12 Jul →
dust2	13–4	0.03	14%	12 Jul →
cache	13–8	-0.02	11%	12 Jul →
ancient	16–13	-0.03	9%	9 Jul →
dust2	4–13	-0.05	18%	9 Jul →
cache	4–13	-0.07	28%	8 Jul →
office	6–13	-0.06	43%	8 Jul →
nuke	13–11	-0.04	11%	6 Jul →
ancient	3–13	-0.05	8%	2 Jul →
inferno	9–13	-0.11	10%	2 Jul →
anubis	13–7	-0.06	8%	2 Jul →
overpass	16–12	-0.07	14%	2 Jul →
ancient	13–4	0.04	16%	1 Jul →
mirage	11–13	-0.03	11%	30 Jun →
ancient	13–4	-0.04	21%	29 Jun →
mirage	13–8	-0.03	11%	29 Jun →
ancient	13–9	-0.00	12%	25 Jun →
anubis	13–5	0.01	23%	25 Jun →
poseidon	6–9	0.02	18%	25 Jun →
nuke	13–8	-0.12	11%	24 Jun →
dust2	13–4	0.07	10%	24 Jun →
ancient	11–13	-0.05	14%	24 Jun →
mirage	3–13	-0.06	18%	24 Jun →
anubis	13–10	0.02	10%	23 Jun →
mirage	6–13	-0.03	4%	23 Jun →
anubis	12–16	-0.04	5%	21 Jun →
anubis	9–13	0.04	20%	21 Jun →
nuke	15–15	-0.06	11%	21 Jun →
ancient	16–14	-0.08	7%	21 Jun →
mirage	10–13	0.05	17%	21 Jun →
anubis	4–13	-0.10	7%	15 Jun →
nuke	13–4	-0.01	16%	11 Jun →
anubis	13–7	-0.04	16%	11 Jun →
inferno	13–11	-0.04	19%	10 Jun →
ancient	13–3	-0.00	17%	10 Jun →
mirage	13–9	0.04	21%	10 Jun →
ancient	13–11	0.01	13%	9 Jun →
anubis	13–4	-0.02	0%	9 Jun →
anubis	13–2	-0.03	14%	8 Jun →
mirage	6–13	-0.06	13%	7 Jun →
nuke	13–8	-0.05	7%	7 Jun →
inferno	13–5	0.04	13%	4 Jun →
dust2	8–13	-0.05	21%	3 Jun →
mirage	6–13	0.06	24%	2 Jun →
nuke	13–8	-0.01	21%	2 Jun →
nuke	13–4	0.08	24%	2 Jun →
anubis	13–11	0.02	9%	1 Jun →
dust2	13–10	-0.06	13%	1 Jun →
anubis	13–11	0.04	15%	28 May →
overpass	2–13	-0.07	25%	28 May →
anubis	12–16	-0.04	20%	28 May →
nuke	9–13	0.00	16%	27 May →
nuke	13–10	0.01	16%	27 May →
anubis	6–13	-0.04	22%	27 May →
inferno	14–16	-0.04	8%	26 May →
mirage	5–13	-0.05	15%	26 May →
anubis	7–13	-0.05	14%	26 May →
ancient	13–11	-0.00	13%	26 May →
mirage	13–7	-0.02	17%	25 May →
overpass	15–15	-0.02	15%	21 May →
nuke	13–11	-0.02	8%	20 May →
ancient	10–13	0.03	10%	20 May →
ancient	13–7	-0.01	11%	11 May →
mirage	15–15	-0.02	11%	10 May →
ancient	5–13	-0.07	4%	10 May →
nuke	4–13	-0.04	3%	8 May →
mirage	7–13	-0.05	26%	7 May →
inferno	13–7	-0.01	6%	5 May →