A$CE — CS2 Stats

76561198091726020[U:1:131460292]Steam profile ↗

2,321Tracked matches59%Win rate2020Tracked since

CSDB Rating5.8 SolidHybrid Rifler

Ladder ranks via Leetify

Performance scores

Aim62

Positioning55

Utility46

0–100 skill scores via Leetify.

Recent form

STEADY53–43–4Last 10053%Win rateWWWLLWLWWL

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

Player DNA

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

Aim6.2

Aggression8.5

Utility4.6

Positioning5.5

Opening Duels4.1

Clutch6.0

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 ropz 87% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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 57% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 678ms 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

Aim6.2

Positioning5.5

Utility4.6

Mechanics6.0

Opening Duels4.1

Win Impact7.9

Composite 5.8/10 (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 rating0.01+0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time668ms+1ms

first ⅓ avg 667ms → last ⅓ avg 668ms

Headshot accuracy18.2%+3.1%

first ⅓ avg 15.0% → last ⅓ avg 18.2%

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

0.23Best rating — nuke 13–2

13–2Biggest win — nuke

4Longest win streak

W3Current streak

1–6In matches decided by ≤2 rounds

Map breakdown

infernoBest map · 78% over 9ancientWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	26	13–13	50%	0.02
mirage	C	17	7–10	41%	0.00
cache	S	12	9–3	75%	-0.01
nuke	A	10	6–4	60%	0.02
inferno	S	9	7–2	78%	0.02
ancient	D	9	3–6	33%	-0.01
train	S	6	4–2	67%	0.03
vertigo	C	5	2–3	40%	-0.01
anubis	—	4	2–2	50%	0.05
overpass	—	2	0–2	0%	-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

9Matches

44%Win rate

0.84Avg K/D

70.6ADR

52%Headshot %

Clutches & streaks

50%1v1 clutch win

0%1v2 clutch win

3Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	2	0%	0.78	11.0
Mirage	2	50%	0.64	10.0
Dust2	1	100%	1.30	26.0
Ancient	1	0%	0.81	13.0
Train	1	100%	1.54	20.0
Nuke	1	0%	0.21	3.0
Inferno	1	100%	0.89	8.0

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.

19.0%Headshot accuracy

36.6%Accuracy (enemy spotted)

39.5%Spray accuracy

77.0%Counter-strafing

11.0°Preaim

678msReaction time

36.0%T opening success

56.7%CT opening success

0.45Enemies flashed / flash

4.5%Flash assists

11.81HE damage / grenade

5.34Flashes / 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.

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 0.4531 — 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 36.0128% — below the 40% mark we flag

Spend your practice time on Ancient

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–10	-0.03	21%	24 Aug →
nuke	13–4	0.06	24%	23 Aug →
dust2	13–5	0.07	12%	23 Aug →
nuke	5–13	0.02	22%	23 Aug →
cache	0–8	-0.10	14%	23 Aug →
dust2	13–7	0.04	14%	23 Aug →
overpass	7–13	-0.05	32%	23 Aug →
mirage	13–6	0.02	22%	23 Aug →
inferno	13–7	-0.02	15%	23 Aug →
mirage	10–13	-0.03	26%	19 Aug →
ancient	6–13	-0.07	19%	18 Aug →
dust2	9–13	-0.04	29%	17 Aug →
anubis	13–9	0.07	16%	17 Aug →
inferno	13–5	0.10	17%	16 Aug →
cache	13–6	0.01	24%	16 Aug →
dust2	12–12	0.04	18%	16 Aug →
nuke	13–9	0.05	27%	16 Aug →
mirage	8–13	0.02	19%	16 Aug →
ancient	8–13	-0.02	9%	16 Aug →
ancient	13–11	-0.02	23%	15 Aug →
mirage	7–3	0.04	19%	15 Aug →
ancient	6–13	0.01	13%	15 Aug →
train	9–13	0.09	13%	15 Aug →
cache	9–13	-0.04	15%	15 Aug →
cache	13–9	0.01	20%	13 Aug →
mirage	13–7	-0.00	11%	13 Aug →
dust2	13–5	0.11	16%	13 Aug →
inferno	9–13	-0.05	13%	13 Aug →
cache	13–10	-0.03	18%	13 Aug →
train	13–5	0.05	26%	12 Aug →
dust2	7–13	-0.02	13%	12 Aug →
inferno	13–6	0.13	13%	12 Aug →
ancient	11–13	-0.09	8%	12 Aug →
cache	13–6	0.07	16%	11 Aug →
dust2	13–3	0.13	20%	11 Aug →
mirage	6–13	0.00	20%	11 Aug →
cache	13–8	0.00	14%	10 Aug →
inferno	13–6	-0.01	10%	9 Aug →
cache	13–10	0.03	12%	9 Aug →
dust2	13–10	-0.01	5%	8 Aug →
dust2	9–13	-0.04	13%	6 Aug →
inferno	13–10	0.02	16%	6 Aug →
nuke	10–13	-0.04	10%	6 Aug →
nuke	13–2	0.23	14%	5 Aug →
train	1–13	-0.01	15%	5 Aug →
cache	12–12	-0.12	3%	5 Aug →
dust2	13–7	-0.00	10%	4 Aug →
anubis	7–13	0.08	15%	4 Aug →
inferno	13–8	-0.00	21%	4 Aug →
mirage	4–13	-0.05	17%	3 Aug →
train	13–10	-0.02	17%	2 Aug →
dust2	12–12	-0.02	15%	2 Aug →
inferno	13–9	-0.01	8%	2 Aug →
dust2	10–13	-0.01	12%	2 Aug →
vertigo	0–6	-0.06	10%	2 Aug →
dust2	13–4	0.10	20%	2 Aug →
ancient	13–10	-0.04	4%	2 Aug →
cache	13–6	-0.07	4%	2 Aug →
mirage	8–13	-0.04	17%	2 Aug →
dust2	6–13	-0.00	24%	1 Aug →
ancient	13–9	0.05	21%	1 Aug →
cache	13–6	0.03	18%	1 Aug →
nuke	7–13	-0.04	7%	1 Aug →
dust2	13–4	0.06	18%	1 Aug →
overpass	8–13	-0.03	11%	1 Aug →
vertigo	13–8	0.08	13%	1 Aug →
dust2	11–13	-0.01	13%	1 Aug →
mirage	13–4	0.03	34%	31 Jul →
train	13–4	0.04	6%	31 Jul →
inferno	4–13	0.01	13%	31 Jul →
mirage	7–13	0.05	16%	30 Jul →
dust2	13–8	0.04	18%	30 Jul →
mirage	13–9	0.05	13%	30 Jul →
dust2	6–13	0.07	17%	29 Jul →
vertigo	4–13	0.01	24%	29 Jul →
dust2	7–13	0.01	10%	29 Jul →
dust2	13–7	-0.03	12%	29 Jul →
mirage	11–13	-0.06	14%	28 Jul →
mirage	6–13	-0.02	10%	28 Jul →
ancient	12–12	0.03	11%	28 Jul →
dust2	2–13	0.01	28%	28 Jul →
nuke	13–7	-0.01	4%	27 Jul →
anubis	13–5	0.03	8%	27 Jul →
train	13–7	-0.01	16%	27 Jul →
mirage	13–7	0.02	10%	26 Jul →
dust2	11–13	0.03	30%	26 Jul →
ancient	10–13	0.03	7%	26 Jul →
dust2	11–13	-0.07	10%	26 Jul →
cache	13–2	0.09	26%	26 Jul →
vertigo	13–5	-0.01	14%	26 Jul →
mirage	4–13	-0.09	13%	25 Jul →
nuke	13–7	-0.01	11%	25 Jul →
mirage	5–13	0.02	19%	25 Jul →
nuke	5–13	-0.04	7%	25 Jul →
dust2	13–5	0.04	16%	25 Jul →
nuke	13–4	0.02	16%	24 Jul →
anubis	11–13	0.00	17%	23 Jul →
vertigo	7–13	-0.05	9%	23 Jul →
mirage	6–1	0.09	15%	23 Jul →
dust2	13–6	-0.06	22%	23 Jul →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches

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