girl in red — CS2 Stats

76561198866746429[U:1:906480701]Steam profile ↗✓ No bans

1,338Tracked matches47%Win rate2022Tracked since

CSDB Rating6.5 SolidAggressive Rifler

Premier CS Rating24,220Top 25% of 29,473 CSDB-tracked playersPink band · top ~3.9% of ranked players (population est.)

CSDB Leaderboard#7665 of 47723 tracked

FaceitLevel 10 · 2,028 ELOTop 12.4% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

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Performance scores

Aim91

Positioning58

Utility50

0–100 skill scores via Leetify.

Recent form

COLD51–45–4Last 10051%Win rateLLLWWLLWLL

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.

Aim9.1

Aggression8.2

Utility5.0

Positioning5.8

Opening Duels3.0

Clutch3.2

Sharp aimer

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 94% playstyle similarity

Most alike: opening-duel success, positioning 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

Strengths

Aim. Aim score of 91 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.

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

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

Aim9.1

Positioning5.8

Utility5.0

Mechanics6.9

Opening Duels3.0

Win Impact3.9

Composite 6.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time517ms−11ms

first ⅓ avg 528ms → last ⅓ avg 517ms

Headshot accuracy30.4%−0.7%

first ⅓ avg 31.1% → last ⅓ avg 30.4%

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

0.14Best rating — cache 13–2

13–1Biggest win — mirage

6Longest win streak

L3Current streak

9–6In matches decided by ≤2 rounds

6Overtime games

Map breakdown

anubisBest map · 71% over 14ancientWeakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	19	11–8	58%	0.01
nuke	C	17	7–10	41%	0.00
dust2	A	16	10–6	63%	0.01
anubis	S	14	10–4	71%	0.00
inferno	D	13	4–9	31%	-0.00
cache	A	10	6–4	60%	0.04
ancient	D	9	2–7	22%	0.03
train	—	1	0–1	0%	0.01
overpass	—	1	1–0	100%	0.01

Across the last 100 tracked matches.

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

Faceit stats

Combat

622Matches

49%Win rate

1.16Avg K/D

82.6ADR

59%Headshot %

Clutches & streaks

36%1v1 clutch win

21%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	226	49%	1.16	16.5
Dust2	114	53%	1.20	16.9
Anubis	98	55%	1.21	18.9
Nuke	61	49%	1.08	15.7
Overpass	32	56%	1.17	18.2
Cache	21	43%	1.21	17.9
Ancient	16	44%	1.06	16.5
Train	14	43%	1.29	18.3

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.

30.3%Headshot accuracy

35.5%Accuracy (enemy spotted)

38.7%Spray accuracy

81.1%Counter-strafing

8.3°Preaim

513msReaction time

37.9%T opening success

46.2%CT opening success

0.47Enemies flashed / flash

5.9%Flash assists

5.31HE damage / grenade

11.94Flashes / 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 0.4693 — 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 37.8965% — 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.

22% 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
cache	10–13	0.04	46%	28 Aug →
anubis	9–13	-0.06	21%	27 Aug →
cache	12–16	-0.01	26%	26 Aug →
mirage	13–1	0.03	100%	26 Aug →
cache	13–2	0.14	34%	25 Aug →
nuke	6–13	-0.02	38%	25 Aug →
anubis	6–13	-0.01	28%	23 Aug →
cache	13–5	0.10	25%	23 Aug →
anubis	8–13	-0.00	24%	23 Aug →
mirage	10–13	0.03	18%	23 Aug →
anubis	13–10	-0.03	33%	22 Aug →
mirage	13–10	-0.03	15%	22 Aug →
nuke	13–4	0.06	33%	22 Aug →
anubis	13–11	-0.00	32%	20 Aug →
inferno	11–4	0.01	27%	20 Aug →
ancient	11–13	0.07	25%	20 Aug →
ancient	11–0	0.00	0%	18 Aug →
mirage	7–13	-0.01	30%	17 Aug →
nuke	3–13	-0.09	28%	17 Aug →
nuke	13–6	0.01	40%	14 Aug →
ancient	9–13	0.00	37%	14 Aug →
mirage	6–13	0.05	41%	14 Aug →
anubis	13–7	-0.01	26%	14 Aug →
mirage	13–8	0.03	23%	12 Aug →
ancient	13–11	0.03	26%	12 Aug →
dust2	4–13	-0.04	15%	10 Aug →
ancient	6–13	0.06	25%	10 Aug →
anubis	13–4	0.04	40%	9 Aug →
train	4–13	0.01	37%	9 Aug →
dust2	8–13	-0.03	30%	8 Aug →
nuke	10–13	0.06	31%	8 Aug →
anubis	13–7	0.04	23%	6 Aug →
mirage	13–1	0.08	28%	6 Aug →
dust2	5–13	0.06	38%	6 Aug →
anubis	5–13	-0.01	47%	6 Aug →
ancient	15–15	0.09	43%	6 Aug →
mirage	13–7	0.00	41%	5 Aug →
cache	13–2	0.01	34%	5 Aug →
ancient	15–15	0.04	41%	5 Aug →
inferno	13–9	-0.02	43%	4 Aug →
cache	10–13	-0.01	16%	4 Aug →
cache	13–8	0.07	31%	4 Aug →
nuke	13–6	0.06	36%	3 Aug →
cache	13–6	0.02	22%	3 Aug →
mirage	13–8	0.10	25%	3 Aug →
anubis	13–11	-0.01	21%	2 Aug →
nuke	15–15	0.02	24%	2 Aug →
ancient	9–13	-0.01	31%	1 Aug →
inferno	0–6	0.08	31%	31 Jul →
dust2	13–4	0.07	14%	31 Jul →
anubis	13–9	0.00	16%	31 Jul →
dust2	13–6	-0.04	27%	31 Jul →
dust2	13–11	-0.01	23%	31 Jul →
inferno	6–13	-0.00	38%	30 Jul →
inferno	5–13	-0.02	29%	30 Jul →
anubis	13–6	0.03	38%	30 Jul →
ancient	5–13	-0.03	26%	30 Jul →
cache	13–5	0.03	45%	30 Jul →
mirage	13–2	-0.04	33%	30 Jul →
mirage	10–13	-0.11	28%	29 Jul →
mirage	13–6	0.06	31%	27 Jul →
anubis	13–5	0.07	28%	15 Jul →
cache	11–13	-0.02	24%	12 Jul →
anubis	13–9	0.02	35%	9 Jul →
mirage	13–10	0.00	30%	8 Jul →
inferno	7–9	-0.04	16%	8 Jul →
nuke	9–13	-0.02	23%	7 Jul →
dust2	13–11	0.00	11%	1 Jul →
mirage	9–13	0.07	40%	30 Jun →
inferno	11–13	0.01	27%	30 Jun →
inferno	13–7	0.03	24%	28 Jun →
nuke	11–13	-0.01	43%	28 Jun →
inferno	1–13	-0.10	14%	28 Jun →
mirage	9–13	-0.06	35%	25 Jun →
dust2	13–5	0.09	19%	24 Jun →
nuke	10–13	0.06	39%	24 Jun →
nuke	13–11	0.03	31%	23 Jun →
overpass	13–8	0.01	52%	21 Jun →
dust2	13–2	0.10	56%	20 Jun →
inferno	10–13	0.02	59%	20 Jun →
inferno	11–13	-0.07	33%	18 Jun →
mirage	13–7	-0.02	23%	18 Jun →
dust2	7–13	0.01	32%	18 Jun →
mirage	13–16	0.05	45%	17 Jun →
mirage	15–15	-0.04	32%	13 Jun →
nuke	10–13	0.02	29%	13 Jun →
dust2	4–13	-0.03	22%	13 Jun →
inferno	5–13	-0.04	35%	12 Jun →
dust2	9–13	-0.03	22%	12 Jun →
dust2	13–8	0.04	26%	11 Jun →
inferno	9–5	0.12	26%	10 Jun →
nuke	9–6	-0.04	39%	10 Jun →
nuke	9–13	-0.05	34%	10 Jun →
dust2	13–11	-0.02	28%	10 Jun →
dust2	13–9	0.03	36%	9 Jun →
dust2	13–11	0.01	30%	9 Jun →
nuke	13–8	0.02	26%	9 Jun →
mirage	13–7	0.01	26%	2 Jun →
nuke	13–11	-0.02	10%	2 Jun →
nuke	8–13	-0.03	23%	1 Jun →