Ashh <3 Rebecca — CS2 Stats

76561199118349313[U:1:1158083585]Steam profile ↗✓ No bans

175Tracked matches46%Win rate2026Tracked since

CSDB Rating6.6 SolidAggressive Rifler

Premier CS Rating17,305Purple band · top ~19.2% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim88

Positioning61

Utility46

0–100 skill scores via Leetify.

Recent form

STEADY48–46–6Last 10048%Win rateLLLLLWWWWW

Last 10 vs previous 10: +40pp win rate · +0.03 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.8

Aggression8.4

Utility4.6

Positioning6.1

Opening Duels3.1

Clutch4.6

Sharp aimerExcellent counter-strafing

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 b1t 92% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution.

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

Strengths

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 603ms 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

Aim8.8

Positioning6.1

Utility4.6

Mechanics8.8

Opening Duels3.1

Win Impact3.8

Composite 6.6/10 (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 rating0.05+0.01

first ⅓ avg 0.04 → last ⅓ avg 0.05

Reaction time610ms−58ms

first ⅓ avg 668ms → last ⅓ avg 610ms

Headshot accuracy21.4%+0.6%

first ⅓ avg 20.8% → last ⅓ avg 21.4%

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

0.26Best rating — cache 13–3

13–0Biggest win — mirage

7Longest win streak

L5Current streak

7–4In matches decided by ≤2 rounds

4Overtime games

Map breakdown

nukeBest map · 57% over 7infernoWeakest map · 33% over 15

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	34	17–17	50%	0.05
dust2	B	22	11–11	50%	0.03
inferno	D	15	5–10	33%	0.03
overpass	D	9	3–6	33%	0.05
nuke	A	7	4–3	57%	0.04
ancient	C	5	2–3	40%	0.05
cache	—	4	3–1	75%	0.08
anubis	—	4	3–1	75%	0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

15Matches

47%Win rate

1.16Avg K/D

89.5ADR

51%Headshot %

Clutches & streaks

43%1v1 clutch win

8%1v2 clutch win

4Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	6	50%	0.92	13.2
Inferno	3	33%	1.31	21.3
Ancient	2	50%	1.15	21.0
Dust2	2	100%	1.70	20.0
Nuke	1	0%	1.56	25.0
Anubis	1	0%	0.76	13.0

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.

20.0%Headshot accuracy

38.0%Accuracy (enemy spotted)

45.2%Spray accuracy

89.5%Counter-strafing

8.2°Preaim

603msReaction time

41.4%T opening success

43.2%CT opening success

0.43Enemies flashed / flash

4.2%Flash assists

8.29HE damage / grenade

8.42Flashes / 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 0.4251 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Inferno

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

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	11–13	0.00	18%	28 Aug →
mirage	9–13	0.07	23%	28 Aug →
dust2	3–13	-0.02	22%	27 Aug →
inferno	4–13	-0.03	19%	26 Aug →
inferno	10–13	0.05	22%	24 Aug →
mirage	13–10	0.02	13%	24 Aug →
mirage	13–6	0.13	11%	23 Aug →
dust2	13–10	0.17	25%	23 Aug →
mirage	13–11	0.12	14%	23 Aug →
mirage	13–8	0.07	13%	23 Aug →
dust2	12–12	-0.04	15%	22 Aug →
dust2	7–13	-0.04	9%	22 Aug →
dust2	12–12	0.07	18%	22 Aug →
inferno	13–8	0.18	22%	22 Aug →
inferno	9–13	0.10	20%	13 Aug →
cache	10–13	-0.02	10%	13 Aug →
anubis	7–13	0.02	13%	13 Aug →
inferno	10–13	0.07	23%	12 Aug →
dust2	9–13	-0.05	5%	12 Aug →
dust2	13–16	0.04	26%	11 Aug →
ancient	16–14	0.09	13%	11 Aug →
cache	13–10	0.08	26%	11 Aug →
mirage	13–9	-0.01	15%	9 Aug →
ancient	2–13	0.05	23%	8 Aug →
cache	13–3	0.26	27%	8 Aug →
mirage	13–16	0.02	21%	8 Aug →
anubis	13–6	0.01	26%	8 Aug →
mirage	13–3	0.05	38%	8 Aug →
cache	13–5	0.02	54%	7 Aug →
mirage	13–16	0.08	26%	7 Aug →
dust2	13–2	-0.02	24%	5 Aug →
dust2	5–13	-0.00	34%	4 Aug →
mirage	13–6	0.06	36%	4 Aug →
anubis	13–10	-0.00	17%	3 Aug →
mirage	13–0	0.09	17%	26 Mar →
mirage	13–2	0.02	32%	25 Mar →
dust2	13–7	0.06	26%	25 Mar →
dust2	13–11	-0.04	17%	24 Mar →
mirage	2–8	0.15	36%	20 Mar →
inferno	7–13	-0.02	20%	20 Mar →
overpass	7–13	-0.02	18%	19 Mar →
mirage	5–13	-0.02	16%	19 Mar →
mirage	13–6	0.05	22%	19 Mar →
mirage	13–5	0.11	14%	19 Mar →
nuke	13–5	0.13	22%	19 Mar →
overpass	12–12	0.09	24%	18 Mar →
mirage	13–10	0.08	33%	18 Mar →
dust2	13–7	0.04	23%	18 Mar →
mirage	9–13	0.05	19%	18 Mar →
mirage	6–13	0.06	17%	18 Mar →
nuke	4–13	-0.02	14%	18 Mar →
inferno	13–7	-0.01	25%	18 Mar →
mirage	13–10	0.06	18%	17 Mar →
ancient	9–13	0.03	17%	17 Mar →
inferno	13–10	0.08	24%	17 Mar →
mirage	6–13	0.01	28%	16 Mar →
mirage	2–13	-0.01	20%	16 Mar →
dust2	7–13	0.09	28%	16 Mar →
mirage	7–13	0.03	21%	16 Mar →
overpass	5–13	0.00	20%	16 Mar →
inferno	13–5	0.05	23%	16 Mar →
anubis	13–7	0.02	22%	16 Mar →
mirage	13–10	0.02	19%	16 Mar →
dust2	13–4	0.00	20%	16 Mar →
dust2	13–11	0.03	23%	15 Mar →
dust2	13–4	0.02	21%	15 Mar →
overpass	13–1	0.14	22%	15 Mar →
overpass	11–13	0.12	19%	15 Mar →
dust2	12–12	0.04	20%	15 Mar →
dust2	13–4	0.16	24%	14 Mar →
inferno	8–13	-0.00	22%	14 Mar →
ancient	8–13	0.03	15%	14 Mar →
dust2	7–13	0.02	15%	14 Mar →
dust2	13–4	-0.04	19%	14 Mar →
mirage	7–13	0.14	38%	14 Mar →
mirage	9–13	0.04	36%	14 Mar →
nuke	11–13	0.03	19%	14 Mar →
mirage	13–11	0.06	13%	14 Mar →
nuke	13–8	0.01	15%	14 Mar →
inferno	12–12	0.01	23%	14 Mar →
mirage	4–13	0.02	19%	13 Mar →
nuke	6–13	0.05	22%	13 Mar →
dust2	9–13	0.09	22%	13 Mar →
nuke	13–11	0.08	21%	13 Mar →
ancient	13–4	0.03	14%	13 Mar →
mirage	8–13	0.04	17%	13 Mar →
nuke	13–11	0.00	33%	12 Mar →
dust2	13–6	0.07	33%	12 Mar →
mirage	8–13	-0.03	17%	12 Mar →
mirage	13–7	0.01	22%	12 Mar →
overpass	8–13	-0.03	15%	12 Mar →
overpass	10–0	-0.01	23%	11 Mar →
overpass	4–13	0.05	22%	11 Mar →
overpass	13–6	0.07	23%	11 Mar →
inferno	13–10	-0.01	15%	11 Mar →
mirage	12–12	0.07	15%	10 Mar →
mirage	11–13	0.06	25%	10 Mar →
inferno	7–13	-0.02	15%	10 Mar →
inferno	2–13	-0.04	14%	10 Mar →
mirage	13–2	0.07	22%	10 Mar →