Hackon — CS2 Stats

NO76561197968663863[U:1:8398135]Steam profile ↗✓ No bans

1,275Tracked matches62%Win rate2020Tracked since

CSDB Rating4.1 Developing

FaceitLevel 2Top 97.9% of ranked FACEIT players

WingmanGold Nova Master

Ladder ranks via Leetify

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Performance scores

Aim27

Positioning27

Utility68

0–100 skill scores via Leetify.

Recent form

HOT49–46–5Last 10049%Win rateLLWWLWWWWW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating

Player DNA

Aim2.7

Aggression2.1

Utility6.8

Positioning2.7

Opening Duels0.0

Clutch6.0

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 70% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Reaction time. 704ms 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

Aim2.7

Positioning2.7

Utility6.8

Mechanics5.4

Opening Duels0.0

Win Impact9.0

Composite 4.1/10 (Developing), 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 rating-0.05−0.01

first ⅓ avg -0.04 → last ⅓ avg -0.05

Reaction time710ms+47ms

first ⅓ avg 662ms → last ⅓ avg 710ms

Headshot accuracy12.9%+1.6%

first ⅓ avg 11.2% → last ⅓ avg 12.9%

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 — overpass 13–4

13–0Biggest win — nuke

6Longest win streak

L2Current streak

9–8In matches decided by ≤2 rounds

12Overtime games

Map breakdown

infernoBest map · 65% over 23cacheWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
inferno	S	23	15–8	65%	-0.03
anubis	B	19	10–9	53%	-0.02
ancient	A	18	10–8	56%	-0.03
dust2	D	15	5–10	33%	-0.06
nuke	B	12	6–6	50%	-0.05
overpass	D	7	2–5	29%	-0.03
cache	D	5	1–4	20%	-0.07
mirage	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Faceit stats

Combat

287Matches

49%Win rate

0.88Avg K/D

67.6ADR

34%Headshot %

Clutches & streaks

50%1v1 clutch win

0%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	11	45%	0.71	10.9
Nuke	8	75%	0.98	13.6
Dust2	8	50%	0.66	9.8
Anubis	7	57%	0.75	13.6
Inferno	7	29%	0.73	10.0

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.

12.8%Headshot accuracy

27.6%Accuracy (enemy spotted)

28.5%Spray accuracy

74.5%Counter-strafing

11.0°Preaim

704msReaction time

23.2%T opening success

20.2%CT opening success

0.59Enemies flashed / flash

3.7%Flash assists

9.60HE damage / grenade

12.23Flashes / 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 12.7958% — below the 15% mark we flag
Aim Training →
Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 703.6754ms — above the 700ms 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 23.183% — below the 40% mark we flag

Spend your practice time on Cache

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 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
ancient	3–13	-0.06	19%	23 Aug →
cache	1–13	-0.09	12%	23 Aug →
anubis	13–6	-0.01	5%	23 Aug →
inferno	13–11	-0.07	13%	23 Aug →
anubis	8–13	-0.08	14%	23 Aug →
dust2	13–11	-0.04	16%	16 Aug →
cache	13–4	-0.05	17%	16 Aug →
ancient	13–11	-0.05	13%	16 Aug →
inferno	13–6	-0.06	11%	16 Aug →
inferno	13–5	-0.04	9%	9 Aug →
anubis	13–7	-0.04	6%	9 Aug →
nuke	15–15	-0.08	20%	9 Aug →
cache	7–13	-0.10	14%	9 Aug →
cache	8–13	-0.08	5%	2 Aug →
anubis	13–8	-0.01	13%	2 Aug →
inferno	8–13	-0.04	8%	2 Aug →
ancient	13–6	-0.09	27%	2 Aug →
anubis	13–10	-0.01	16%	28 Jun →
inferno	13–5	-0.09	8%	28 Jun →
dust2	11–13	-0.08	4%	28 Jun →
anubis	10–13	-0.00	7%	28 Jun →
inferno	13–7	-0.03	21%	21 Jun →
ancient	13–1	0.03	9%	21 Jun →
anubis	8–13	-0.13	13%	21 Jun →
dust2	13–10	-0.06	14%	14 Jun →
nuke	16–13	-0.05	11%	14 Jun →
ancient	13–8	-0.05	20%	14 Jun →
inferno	13–3	0.05	19%	14 Jun →
overpass	11–13	-0.03	9%	7 Jun →
ancient	9–13	-0.09	12%	7 Jun →
cache	12–12	-0.04	14%	7 Jun →
dust2	1–13	-0.04	11%	31 May →
nuke	11–13	-0.01	15%	31 May →
dust2	13–10	-0.01	20%	31 May →
dust2	11–13	-0.04	32%	25 May →
nuke	13–5	-0.03	9%	25 May →
anubis	13–7	0.06	22%	25 May →
overpass	9–13	-0.08	12%	25 May →
dust2	5–13	-0.06	21%	17 May →
overpass	11–13	-0.03	8%	17 May →
ancient	13–7	-0.04	5%	17 May →
inferno	3–13	-0.02	24%	17 May →
dust2	5–13	-0.08	3%	13 May →
inferno	13–5	-0.01	24%	13 May →
overpass	13–8	-0.05	6%	13 May →
nuke	7–13	-0.11	15%	13 May →
overpass	9–13	-0.09	13%	10 May →
inferno	6–13	-0.05	8%	10 May →
ancient	13–11	0.01	23%	10 May →
nuke	13–5	-0.01	15%	10 May →
anubis	13–6	0.02	6%	10 May →
dust2	6–13	-0.06	5%	26 Apr →
ancient	13–11	-0.03	5%	26 Apr →
anubis	16–12	-0.04	6%	26 Apr →
nuke	13–11	0.02	12%	26 Apr →
ancient	16–14	0.03	6%	23 Apr →
inferno	13–3	0.08	18%	23 Apr →
inferno	13–4	0.02	17%	23 Apr →
mirage	9–13	-0.03	11%	22 Apr →
inferno	13–1	-0.00	12%	22 Apr →
dust2	13–7	-0.03	5%	22 Apr →
ancient	13–16	0.00	16%	22 Apr →
inferno	9–13	-0.06	3%	19 Apr →
ancient	13–7	-0.00	18%	19 Apr →
overpass	13–4	0.08	13%	19 Apr →
nuke	7–13	-0.07	7%	19 Apr →
anubis	13–10	-0.03	19%	19 Apr →
dust2	8–13	-0.09	4%	12 Apr →
ancient	13–5	-0.02	9%	12 Apr →
inferno	4–13	-0.09	3%	12 Apr →
anubis	13–5	0.03	8%	12 Apr →
inferno	7–13	-0.06	20%	5 Apr →
nuke	16–12	-0.04	8%	5 Apr →
ancient	15–15	-0.03	10%	5 Apr →
overpass	11–13	-0.06	7%	29 Mar →
anubis	10–13	-0.00	16%	29 Mar →
ancient	8–13	-0.02	15%	29 Mar →
inferno	13–8	0.02	6%	29 Mar →
inferno	4–13	-0.07	35%	22 Mar →
dust2	5–13	-0.08	6%	22 Mar →
nuke	13–0	-0.04	8%	22 Mar →
anubis	5–13	-0.04	9%	22 Mar →
inferno	13–10	-0.05	9%	15 Mar →
anubis	15–15	0.01	7%	15 Mar →
ancient	13–16	-0.02	13%	15 Mar →
anubis	16–14	-0.09	9%	8 Mar →
nuke	11–13	-0.08	14%	8 Mar →
ancient	3–13	-0.00	12%	8 Mar →
inferno	16–14	-0.03	7%	1 Mar →
anubis	15–15	0.00	13%	1 Mar →
ancient	7–13	-0.09	4%	25 Feb →
inferno	13–9	0.01	9%	25 Feb →
anubis	6–13	0.04	10%	25 Feb →
dust2	13–6	-0.05	15%	22 Feb →
anubis	7–13	-0.03	6%	22 Feb →
nuke	2–13	-0.02	18%	22 Feb →
dust2	3–13	-0.06	17%	22 Feb →
inferno	13–7	0.03	16%	22 Feb →
dust2	5–13	-0.08	13%	15 Feb →
inferno	11–13	-0.07	15%	15 Feb →