Asking- — CS2 Stats

SE76561198291184949[U:1:330919221]Steam profile ↗✓ No bans

1,051Tracked matches70%Win rate2020Tracked since

CSDB Rating6.0 SolidPassive Rifler

FaceitLevel 10 · 2,025 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim71

Positioning48

Utility59

0–100 skill scores via Leetify.

Recent form

STEADY55–44–1Last 10055%Win rateLWLLWLLWWL

Last 10 vs previous 10: -30pp win rate · -0.01 avg rating

Player DNA

Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.

Aim7.1

Aggression3.7

Utility5.9

Positioning4.8

Opening Duels1.3

Clutch4.4

Strong CT-side opener

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 85% playstyle similarity

Most alike: utility contribution, positioning profile.

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 49% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 582ms 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

Aim7.1

Positioning4.8

Utility5.9

Mechanics5.5

Opening Duels2.4

Win Impact10.0

Composite 6.0/10 (Solid), 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 rating0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg 0.00

Reaction time599ms+17ms

first ⅓ avg 582ms → last ⅓ avg 599ms

Headshot accuracy18.1%−1.7%

first ⅓ avg 19.8% → last ⅓ avg 18.1%

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 — anubis 13–4

13–1Biggest win — anubis

13Longest win streak

12–10In matches decided by ≤2 rounds

12Overtime games

Map breakdown

anubisBest map · 89% over 9mirageWeakest map · 25% over 12

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	24	10–14	42%	-0.01
cache	S	15	10–5	67%	0.04
ancient	B	14	7–7	50%	-0.01
inferno	S	13	10–3	77%	0.01
mirage	D	12	3–9	25%	0.00
anubis	S	9	8–1	89%	0.03
overpass	—	4	2–2	50%	-0.02
vertigo	—	3	1–2	33%	0.00
train	—	2	0–2	0%	-0.05
cache_b	—	2	2–0	100%	-0.02
cbble_d	—	1	1–0	100%	-0.03
nuke	—	1	1–0	100%	0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,453Matches

51%Win rate

1.09Avg K/D

79.8ADR

37%Headshot %

Clutches & streaks

42%1v1 clutch win

22%1v2 clutch win

16Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	151	50%	1.00	16.3
Mirage	108	46%	1.08	17.1
Ancient	92	53%	0.95	14.2
Inferno	85	45%	0.97	15.9
Anubis	63	56%	1.03	16.5
Overpass	33	58%	1.11	17.1
Cache	22	55%	0.98	18.1
Nuke	12	58%	1.12	17.0

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.

18.7%Headshot accuracy

36.1%Accuracy (enemy spotted)

38.8%Spray accuracy

74.6%Counter-strafing

9.5°Preaim

582msReaction time

21.8%T opening success

48.8%CT opening success

0.59Enemies flashed / flash

9.8%Flash assists

8.97HE damage / grenade

9.55Flashes / 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
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 21.781% — 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.

25% win rate across 12 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
mirage	7–13	0.03	16%	11 Aug →
cache	16–13	0.06	26%	11 Aug →
inferno	8–13	-0.08	7%	3 Jun →
ancient	11–13	-0.01	21%	3 Jun →
ancient	13–9	-0.03	5%	2 Jun →
inferno	8–13	-0.05	8%	1 Jun →
dust2	8–13	-0.01	14%	1 Jun →
dust2	13–10	-0.04	20%	1 Jun →
ancient	13–2	0.10	29%	1 Jun →
ancient	12–16	-0.00	16%	31 May →
dust2	9–13	0.02	22%	30 May →
dust2	13–6	0.01	17%	28 May →
ancient	13–4	-0.01	19%	28 May →
anubis	13–4	0.15	26%	27 May →
inferno	13–7	0.04	43%	26 May →
dust2	0–10	-0.05	12%	25 May →
ancient	9–13	-0.07	11%	24 May →
dust2	16–12	-0.01	13%	22 May →
dust2	13–10	-0.00	22%	22 May →
anubis	16–14	-0.05	14%	20 May →
cache	13–8	0.07	16%	20 May →
dust2	13–6	0.04	20%	20 May →
inferno	16–13	-0.01	34%	19 May →
ancient	16–14	-0.01	17%	19 May →
overpass	13–3	0.02	24%	19 May →
cache	13–2	0.03	21%	16 May →
anubis	13–1	-0.02	3%	14 May →
overpass	13–11	-0.03	30%	13 May →
ancient	13–7	0.04	6%	13 May →
cache	13–6	0.07	20%	11 May →
vertigo	10–13	-0.02	19%	11 May →
mirage	8–13	-0.07	7%	11 May →
cache	13–1	0.01	17%	11 May →
cache	5–13	0.04	21%	3 May →
cache	9–13	0.04	29%	2 May →
cache	13–4	0.01	35%	2 May →
mirage	6–13	0.04	19%	2 May →
ancient	11–13	-0.04	11%	2 May →
mirage	12–16	-0.02	22%	1 May →
cache	13–2	0.08	33%	1 May →
cache	7–13	-0.04	13%	1 May →
cache	13–10	0.11	21%	1 May →
anubis	13–4	-0.05	18%	1 May →
mirage	6–13	-0.01	22%	1 May →
cache	11–13	0.08	24%	1 May →
cache	13–7	0.01	14%	28 Apr →
cache	13–5	-0.02	25%	28 Apr →
anubis	7–13	0.02	19%	27 Apr →
vertigo	13–10	-0.04	11%	27 Apr →
train	11–13	-0.01	24%	27 Apr →
mirage	12–12	0.03	20%	27 Apr →
anubis	13–11	0.02	11%	26 Apr →
ancient	9–13	-0.03	27%	26 Apr →
cache	11–13	-0.02	32%	26 Apr →
dust2	5–13	-0.06	26%	24 Apr →
dust2	5–13	-0.03	13%	24 Apr →
dust2	13–8	0.01	16%	24 Apr →
dust2	6–13	-0.09	25%	24 Apr →
cache_b	13–11	-0.02	22%	23 Apr →
inferno	13–11	-0.00	23%	22 Apr →
dust2	9–13	-0.03	14%	22 Apr →
ancient	13–11	-0.03	23%	21 Apr →
mirage	9–13	-0.02	21%	21 Apr →
dust2	9–13	-0.04	46%	21 Apr →
dust2	11–13	0.00	13%	21 Apr →
mirage	7–13	0.03	13%	21 Apr →
ancient	8–13	-0.04	17%	21 Apr →
dust2	9–13	-0.04	19%	21 Apr →
mirage	13–9	-0.01	29%	20 Apr →
inferno	13–8	0.10	17%	20 Apr →
inferno	16–14	-0.01	19%	20 Apr →
overpass	11–13	-0.03	7%	20 Apr →
ancient	5–13	0.02	17%	20 Apr →
overpass	11–13	-0.04	14%	19 Apr →
inferno	13–7	0.05	21%	19 Apr →
inferno	11–13	0.02	20%	19 Apr →
dust2	13–3	-0.04	11%	19 Apr →
train	16–19	-0.08	19%	19 Apr →
dust2	9–13	-0.00	22%	19 Apr →
mirage	13–5	0.03	27%	18 Apr →
inferno	16–12	0.05	22%	18 Apr →
dust2	10–13	-0.01	7%	18 Apr →
inferno	13–7	-0.00	24%	18 Apr →
cache_b	16–14	-0.03	21%	17 Apr →
vertigo	8–13	0.07	28%	17 Apr →
anubis	13–4	0.05	8%	17 Apr →
anubis	13–11	0.05	18%	17 Apr →
dust2	13–1	-0.00	31%	17 Apr →
inferno	13–11	-0.01	15%	17 Apr →
mirage	13–7	-0.02	16%	17 Apr →
dust2	13–10	0.03	28%	16 Apr →
dust2	14–16	-0.03	20%	16 Apr →
dust2	9–13	0.02	18%	16 Apr →
cbble_d	13–10	-0.03	13%	15 Apr →
mirage	9–13	0.02	50%	15 Apr →
nuke	13–10	0.02	20%	15 Apr →
anubis	13–9	0.10	12%	15 Apr →
ancient	13–9	0.01	18%	15 Apr →
inferno	13–9	-0.02	27%	15 Apr →
dust2	13–11	0.08	16%	15 Apr →