junk — CS2 Stats

US76561198238746642[U:1:278480914]Steam profile ↗

1,377Tracked matches44%Win rate2020Tracked since

CSDB Rating3.4 Learning

Premier CS Rating10,790Blue band · top ~50.7% of ranked players (population est.)

CSDB Leaderboard#18344 of 25436 tracked

FaceitLevel 2Top 97.9% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim40

Positioning33

Utility28

0–100 skill scores via Leetify.

Recent form

STEADY46–44–10Last 10046%Win rateLLWWLWLWTW

Last 10 vs previous 10: +0pp win rate · +0.00 avg rating

Player DNA

Aim4.0

Aggression1.9

Utility2.8

Positioning3.3

Opening Duels0.0

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 67% playstyle similarity

Most alike: opening-duel success, positioning profile.

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. 662ms 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

Aim4.0

Positioning3.3

Utility2.8

Mechanics6.3

Opening Duels0.0

Win Impact3.1

Composite 3.4/10 (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-0.02−0.01

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time658ms−47ms

first ⅓ avg 705ms → last ⅓ avg 658ms

Headshot accuracy9.7%−0.4%

first ⅓ avg 10.1% → 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

0.12Best rating — inferno 13–7

13–2Biggest win — ancient

6Longest win streak

L2Current streak

3–8In matches decided by ≤2 rounds

14Overtime games

Map breakdown

infernoBest map · 61% over 18cacheWeakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	35	17–18	49%	-0.01
inferno	A	18	11–7	61%	-0.00
dust2	D	12	3–9	25%	-0.03
ancient	C	12	5–7	42%	-0.04
cache	D	9	2–7	22%	-0.04
anubis	A	7	4–3	57%	-0.02
nuke	B	6	3–3	50%	-0.01
overpass	—	1	1–0	100%	-0.07

Across the last 100 tracked matches.

Faceit stats

Combat

43Matches

37%Win rate

0.72Avg K/D

65.2ADR

28%Headshot %

Clutches & streaks

11%1v1 clutch win

18%1v2 clutch win

4Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	10	40%	0.73	10.7
Inferno	6	50%	0.85	12.0
Ancient	4	0%	0.75	11.3
Dust2	4	75%	0.81	12.0
Vertigo	4	50%	0.50	8.8
Nuke	2	0%	0.86	14.0
Overpass	1	100%	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.

9.5%Headshot accuracy

34.3%Accuracy (enemy spotted)

35.8%Spray accuracy

78.2%Counter-strafing

12.5°Preaim

662msReaction time

16.5%T opening success

29.8%CT opening success

0.44Enemies flashed / flash

1.5%Flash assists

9.06HE damage / grenade

2.61Flashes / 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.

Advanced Mechanics
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.5344° — above the 12° mark we flag
Aim Training →
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 9.52% — 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 0.4444 — below the 0.5 mark we flag
Grenade Lineups →

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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
mirage	11–13	-0.02	4%	28 Aug →
inferno	11–13	-0.03	6%	28 Aug →
mirage	13–7	0.07	12%	28 Aug →
anubis	13–5	-0.01	11%	28 Aug →
dust2	10–13	-0.02	19%	27 Aug →
ancient	13–8	-0.01	10%	27 Aug →
anubis	11–13	0.00	7%	27 Aug →
nuke	13–6	0.05	14%	26 Aug →
cache	15–15	-0.06	6%	26 Aug →
mirage	11–4	0.00	10%	26 Aug →
ancient	8–13	-0.05	5%	25 Aug →
mirage	13–11	-0.02	18%	25 Aug →
mirage	13–6	0.01	7%	25 Aug →
nuke	13–9	0.05	13%	25 Aug →
ancient	5–13	-0.08	8%	25 Aug →
dust2	11–13	-0.07	7%	24 Aug →
cache	13–8	0.01	12%	24 Aug →
cache	7–13	0.00	13%	23 Aug →
dust2	7–13	-0.03	9%	23 Aug →
inferno	13–7	0.12	6%	23 Aug →
inferno	13–11	0.02	9%	21 Aug →
mirage	6–13	-0.05	8%	21 Aug →
dust2	15–15	-0.07	4%	19 Aug →
dust2	14–16	-0.02	8%	16 Aug →
inferno	13–8	0.01	7%	16 Aug →
nuke	12–16	-0.11	4%	16 Aug →
ancient	5–13	-0.05	7%	16 Aug →
anubis	9–13	-0.04	17%	12 Aug →
mirage	15–15	-0.09	12%	12 Aug →
mirage	8–13	-0.01	15%	12 Aug →
anubis	13–4	0.02	17%	12 Aug →
mirage	3–13	-0.05	14%	6 Aug →
dust2	13–6	-0.10	0%	6 Aug →
inferno	8–13	-0.02	11%	6 Aug →
ancient	8–13	0.01	8%	5 Aug →
inferno	5–13	-0.10	5%	5 Aug →
mirage	5–13	-0.04	2%	5 Aug →
ancient	7–13	-0.08	7%	5 Aug →
inferno	13–10	-0.00	11%	5 Aug →
mirage	13–9	0.02	12%	4 Aug →
nuke	11–13	-0.04	10%	4 Aug →
cache	15–15	-0.04	18%	4 Aug →
anubis	7–13	-0.04	11%	4 Aug →
inferno	2–13	0.02	14%	4 Aug →
mirage	13–3	-0.01	9%	4 Aug →
ancient	13–6	-0.04	5%	4 Aug →
mirage	13–6	0.01	8%	4 Aug →
inferno	15–15	-0.02	17%	2 Aug →
inferno	13–4	0.06	19%	2 Aug →
mirage	10–13	-0.01	14%	2 Aug →
cache	6–13	-0.05	12%	29 Jul →
anubis	13–9	-0.02	10%	29 Jul →
ancient	8–13	-0.05	10%	29 Jul →
inferno	13–4	-0.04	9%	29 Jul →
dust2	15–15	-0.03	12%	29 Jul →
mirage	10–13	-0.01	11%	29 Jul →
dust2	6–13	0.01	12%	23 Jul →
mirage	6–13	-0.03	14%	23 Jul →
cache	7–13	-0.11	12%	10 Jul →
cache	1–13	-0.10	6%	10 Jul →
mirage	13–11	-0.00	14%	9 Jul →
ancient	13–2	0.03	19%	9 Jul →
mirage	7–13	-0.05	19%	9 Jul →
nuke	4–13	-0.05	10%	9 Jul →
inferno	16–12	-0.03	8%	9 Jul →
mirage	13–6	-0.06	14%	9 Jul →
dust2	15–15	-0.11	10%	9 Jul →
ancient	13–8	-0.05	8%	9 Jul →
inferno	13–7	0.03	12%	8 Jul →
mirage	13–10	-0.01	16%	7 Jul →
dust2	13–2	0.04	10%	7 Jul →
mirage	13–6	-0.03	13%	5 Jul →
cache	13–10	0.01	6%	5 Jul →
inferno	10–13	0.00	13%	5 Jul →
inferno	2–13	-0.08	11%	5 Jul →
mirage	8–13	0.09	9%	5 Jul →
mirage	13–6	0.05	8%	5 Jul →
cache	12–12	-0.00	7%	5 Jul →
mirage	13–9	0.02	16%	5 Jul →
dust2	6–13	-0.04	14%	5 Jul →
mirage	12–9	-0.01	11%	5 Jul →
mirage	12–16	-0.04	4%	30 Jun →
ancient	13–7	-0.03	9%	30 Jun →
inferno	13–10	-0.01	10%	30 Jun →
mirage	8–13	0.03	17%	30 Jun →
anubis	13–10	-0.06	11%	30 Jun →
inferno	13–3	0.02	7%	30 Jun →
inferno	13–7	0.02	9%	30 Jun →
mirage	12–12	-0.03	11%	30 Jun →
overpass	13–8	-0.07	9%	28 Jun →
mirage	13–2	0.00	22%	28 Jun →
mirage	14–16	-0.03	8%	28 Jun →
ancient	15–15	-0.06	12%	27 Jun →
mirage	3–13	-0.13	0%	27 Jun →
mirage	11–13	0.09	10%	27 Jun →
mirage	13–5	-0.03	7%	27 Jun →
mirage	13–4	-0.08	0%	27 Jun →
nuke	13–7	0.03	11%	27 Jun →
mirage	16–13	-0.02	7%	27 Jun →
dust2	13–9	0.04	16%	27 Jun →