[Ass]SAS — CS2 Stats

76561197993127486[U:1:32861758]Steam profile ↗✓ No bans

2,380Tracked matches31%Win rate2020Tracked since

CSDB Rating3.3 Learning

Premier CS Rating11,253Blue band · top ~48.3% of ranked players (population est.)

CSDB Leaderboard#14845 of 20672 tracked

FaceitLevel 2Top 97.9% of ranked FACEIT players

WingmanSilver Elite Master

Ladder ranks via Leetify

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Performance scores

Aim35

Positioning41

Utility61

0–100 skill scores via Leetify.

Recent form

COLD44–53–3Last 10044%Win rateLLWLLLLWWL

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

Aim3.5

Aggression2.4

Utility6.1

Positioning4.1

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 75% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; 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 33% on CT to 18% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 663ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Positioning4.1

Utility6.1

Mechanics4.3

Opening Duels0.4

Win Impact0.0

Composite 3.3/10 (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 -0.03 → last ⅓ avg -0.02

Reaction time656ms−24ms

first ⅓ avg 680ms → last ⅓ avg 656ms

Headshot accuracy9.5%−0.4%

first ⅓ avg 9.9% → last ⅓ avg 9.5%

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

0.15Best rating — inferno 12–12

13–1Biggest win — nuke

5Longest win streak

L2Current streak

7–10In matches decided by ≤2 rounds

11Overtime games

Map breakdown

nukeBest map · 53% over 17dust2Weakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	23	12–11	52%	-0.00
nuke	B	17	9–8	53%	-0.02
cache	C	15	6–9	40%	-0.02
anubis	D	13	4–9	31%	-0.04
ancient	C	12	5–7	42%	-0.03
dust2	D	9	2–7	22%	-0.03
mirage	B	8	4–4	50%	-0.04
overpass	—	1	1–0	100%	0.00
alpine	—	1	1–0	100%	-0.04
vertigo	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

33Matches

42%Win rate

0.74Avg K/D

53.3ADR

29%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

4Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Vertigo	2	100%	0.77	11.0
Inferno	1	0%	0.50	9.0
Ancient	1	100%	0.64	9.0
Mirage	1	100%	0.75	9.0

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.

9.7%Headshot accuracy

36.6%Accuracy (enemy spotted)

37.5%Spray accuracy

69.3%Counter-strafing

13.5°Preaim

663msReaction time

18.0%T opening success

33.2%CT opening success

0.48Enemies flashed / flash

5.9%Flash assists

11.80HE damage / grenade

8.32Flashes / 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 13.5066° — 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 9.6803% — 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 0.4839 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Dust 2

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.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	3–13	-0.04	7%	28 Aug →
nuke	5–13	-0.07	12%	28 Aug →
mirage	13–11	-0.03	6%	27 Aug →
inferno	6–13	-0.01	24%	27 Aug →
mirage	3–13	-0.02	7%	26 Aug →
ancient	14–16	-0.03	13%	25 Aug →
dust2	4–13	-0.08	10%	25 Aug →
cache	13–10	0.00	12%	24 Aug →
ancient	13–4	-0.00	8%	24 Aug →
cache	14–16	-0.02	7%	23 Aug →
inferno	13–6	0.01	15%	23 Aug →
inferno	11–13	0.08	7%	22 Aug →
ancient	16–14	-0.04	9%	22 Aug →
ancient	5–13	-0.06	14%	21 Aug →
cache	11–13	-0.04	13%	21 Aug →
inferno	13–16	0.01	14%	20 Aug →
cache	4–13	-0.03	6%	20 Aug →
nuke	9–13	0.02	10%	19 Aug →
mirage	13–10	-0.07	8%	19 Aug →
ancient	12–16	-0.03	8%	18 Aug →
anubis	9–13	0.05	10%	18 Aug →
inferno	13–5	0.07	15%	17 Aug →
nuke	13–4	-0.08	3%	17 Aug →
anubis	3–13	-0.09	6%	17 Aug →
inferno	4–13	-0.01	6%	13 Aug →
anubis	8–13	-0.05	4%	13 Aug →
cache	13–11	-0.04	6%	12 Aug →
inferno	12–12	0.15	10%	11 Aug →
nuke	5–13	0.01	13%	11 Aug →
inferno	10–13	-0.05	8%	10 Aug →
ancient	10–13	-0.02	13%	10 Aug →
anubis	13–6	0.02	9%	9 Aug →
ancient	7–13	-0.08	3%	7 Aug →
nuke	2–13	-0.10	4%	7 Aug →
nuke	13–8	0.05	11%	5 Aug →
inferno	13–8	-0.03	14%	5 Aug →
nuke	14–16	-0.02	5%	4 Aug →
inferno	8–13	0.05	11%	4 Aug →
inferno	9–13	-0.02	14%	3 Aug →
dust2	13–8	0.03	0%	3 Aug →
nuke	15–15	-0.03	13%	3 Aug →
inferno	13–6	-0.06	9%	3 Aug →
cache	1–13	-0.08	14%	2 Aug →
anubis	8–13	-0.08	6%	2 Aug →
anubis	8–13	-0.01	12%	1 Aug →
nuke	16–14	-0.03	12%	1 Aug →
ancient	13–16	-0.07	9%	1 Aug →
mirage	4–13	-0.07	11%	29 Jul →
nuke	13–5	0.01	4%	29 Jul →
cache	10–13	-0.06	4%	23 Jul →
ancient	7–13	-0.01	9%	23 Jul →
dust2	1–13	-0.09	9%	23 Jul →
nuke	13–4	0.03	10%	23 Jul →
inferno	16–14	-0.02	8%	22 Jul →
inferno	11–13	-0.06	17%	22 Jul →
inferno	13–8	0.01	9%	20 Jul →
cache	13–6	0.04	7%	20 Jul →
nuke	13–1	-0.00	8%	20 Jul →
dust2	13–5	0.08	10%	20 Jul →
anubis	13–9	-0.01	21%	11 Jul →
cache	15–15	-0.02	7%	11 Jul →
cache	11–13	-0.05	5%	10 Jul →
ancient	13–8	-0.05	13%	10 Jul →
dust2	2–3	-0.04	67%	10 Jul →
anubis	8–13	-0.09	8%	10 Jul →
nuke	13–8	-0.04	19%	1 Jul →
mirage	6–13	-0.02	10%	29 Jun →
nuke	13–6	0.00	9%	29 Jun →
dust2	10–13	-0.03	8%	29 Jun →
anubis	6–13	-0.09	7%	27 Jun →
anubis	13–8	0.03	9%	27 Jun →
nuke	9–13	-0.02	14%	27 Jun →
cache	7–13	-0.04	5%	26 Jun →
dust2	6–13	-0.02	7%	24 Jun →
inferno	13–2	-0.05	12%	24 Jun →
inferno	13–3	0.02	2%	24 Jun →
ancient	13–9	-0.00	9%	23 Jun →
overpass	13–6	0.00	12%	23 Jun →
cache	13–7	0.10	9%	23 Jun →
inferno	10–13	-0.04	12%	22 Jun →
nuke	13–4	-0.02	4%	22 Jun →
dust2	11–13	-0.07	3%	21 Jun →
inferno	13–8	-0.02	11%	18 Jun →
mirage	10–13	-0.06	21%	18 Jun →
cache	13–2	0.01	6%	16 Jun →
inferno	13–5	-0.05	12%	16 Jun →
mirage	13–3	-0.06	36%	16 Jun →
anubis	6–13	-0.13	12%	16 Jun →
inferno	13–7	0.00	5%	15 Jun →
cache	3–13	-0.11	8%	15 Jun →
cache	13–8	-0.04	10%	15 Jun →
ancient	13–11	-0.02	6%	14 Jun →
inferno	10–13	-0.03	24%	14 Jun →
anubis	13–9	-0.01	10%	14 Jun →
alpine	13–9	-0.04	2%	13 Jun →
mirage	13–1	-0.03	5%	12 Jun →
dust2	11–13	-0.03	9%	12 Jun →
nuke	3–13	-0.08	13%	11 Jun →
inferno	13–11	-0.02	10%	11 Jun →
vertigo	8–13	-0.05	6%	10 Jun →