fawn — CS2 Stats

FR76561198349703924[U:1:389438196]Steam profile ↗

302Tracked matches48%Win rate2020Tracked since

CSDB Rating5.6 SolidHybrid Rifler

Premier CS Rating20,647Top 50% of 17,162 CSDB-tracked playersPink band · top ~7.8% of ranked players (population est.)

CSDB Leaderboard#9542 of 24944 tracked

WingmanLegendary Eagle

Ladder ranks via Leetify

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Performance scores

Aim69

Positioning64

Utility42

0–100 skill scores via Leetify.

Recent form

COLD45–50–5Last 10045%Win rateLWWWLTLLLL

Last 10 vs previous 10: -30pp win rate · -0.00 avg rating

Player DNA

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

Aim6.9

Aggression7.8

Utility4.2

Positioning6.4

Opening Duels3.7

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 89% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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 55% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim6.9

Positioning6.4

Utility4.2

Mechanics4.7

Opening Duels3.7

Win Impact4.4

Composite 5.6/10 (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 0.03 → last ⅓ avg 0.02

Reaction time498ms−92ms

first ⅓ avg 590ms → last ⅓ avg 498ms

Headshot accuracy18.5%−1.1%

first ⅓ avg 19.7% → last ⅓ avg 18.5%

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

0.24Best rating — cache 11–2

13–1Biggest win — cache

3Longest win streak

10–1In matches decided by ≤2 rounds

10Overtime games

Map breakdown

cacheBest map · 77% over 13ancientWeakest map · 10% over 10

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	45	21–24	47%	0.03
anubis	B	18	9–9	50%	-0.00
cache	S	13	10–3	77%	0.04
ancient	D	10	1–9	10%	0.01
dust2	D	7	2–5	29%	0.03
inferno	D	5	1–4	20%	-0.00
train	—	2	1–1	50%	0.09

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (10% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

11Matches

64%Win rate

1.18Avg K/D

87.1ADR

52%Headshot %

Clutches & streaks

50%1v1 clutch win

33%1v2 clutch win

3Longest win streak

Recent Faceit resultsWWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	3	67%	1.28	24.7
Inferno	2	0%	0.74	12.0
Ancient	2	100%	1.06	18.0
Anubis	1	100%	2.00	24.0
Cache	1	100%	2.00	20.0
Nuke	1	100%	1.11	10.0
Dust2	1	0%	0.47	7.0

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.

18.8%Headshot accuracy

34.3%Accuracy (enemy spotted)

34.3%Spray accuracy

71.2%Counter-strafing

9.4°Preaim

517msReaction time

34.0%T opening success

55.2%CT opening success

0.34Enemies flashed / flash

2.8%Flash assists

12.18HE damage / grenade

5.19Flashes / 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 0.3411 — 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 34.0278% — 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.

10% win rate across 10 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
ancient	3–13	-0.04	22%	26 Aug →
mirage	16–12	-0.01	13%	26 Aug →
mirage	13–11	0.07	17%	26 Aug →
mirage	13–8	0.02	30%	25 Aug →
anubis	3–13	-0.05	22%	25 Aug →
ancient	15–15	-0.02	20%	25 Aug →
anubis	1–13	-0.05	16%	24 Aug →
ancient	10–13	0.04	11%	24 Aug →
mirage	10–13	0.04	16%	24 Aug →
mirage	9–13	0.07	19%	24 Aug →
mirage	13–9	0.06	20%	24 Aug →
mirage	0–6	-0.10	0%	24 Aug →
mirage	4–13	0.04	27%	24 Aug →
mirage	13–8	0.08	16%	23 Aug →
anubis	8–13	-0.01	15%	23 Aug →
anubis	13–7	-0.00	15%	23 Aug →
cache	13–4	-0.05	18%	22 Aug →
mirage	9–13	-0.03	10%	22 Aug →
inferno	13–7	0.07	21%	22 Aug →
cache	13–1	0.04	29%	22 Aug →
ancient	7–13	0.06	17%	22 Aug →
anubis	16–14	0.04	23%	21 Aug →
dust2	6–13	-0.01	28%	21 Aug →
mirage	13–5	0.06	31%	21 Aug →
mirage	13–7	0.08	16%	21 Aug →
mirage	13–8	0.06	14%	21 Aug →
mirage	9–13	-0.05	10%	21 Aug →
mirage	11–13	0.06	20%	20 Aug →
mirage	13–5	0.06	16%	20 Aug →
ancient	10–13	0.05	26%	20 Aug →
inferno	3–9	0.01	15%	20 Aug →
train	7–13	0.07	17%	18 Aug →
mirage	13–5	0.01	21%	18 Aug →
cache	13–5	0.02	22%	18 Aug →
cache	13–4	0.09	21%	18 Aug →
cache	6–13	-0.02	11%	18 Aug →
anubis	3–13	-0.06	12%	15 Aug →
mirage	15–15	0.03	9%	15 Aug →
anubis	7–13	-0.08	21%	15 Aug →
mirage	13–10	0.10	16%	14 Aug →
cache	16–14	0.05	14%	14 Aug →
inferno	6–9	-0.01	32%	14 Aug →
anubis	13–3	0.01	14%	12 Aug →
ancient	9–13	0.04	16%	11 Aug →
ancient	13–3	-0.00	17%	11 Aug →
mirage	15–15	0.02	19%	10 Aug →
cache	13–11	0.11	17%	10 Aug →
dust2	5–13	0.02	20%	10 Aug →
anubis	13–11	0.02	13%	8 Aug →
train	13–1	0.11	39%	8 Aug →
mirage	10–13	-0.05	9%	8 Aug →
dust2	13–4	0.06	19%	7 Aug →
mirage	13–5	0.14	15%	7 Aug →
ancient	5–13	-0.07	17%	7 Aug →
mirage	13–11	0.05	29%	7 Aug →
mirage	13–7	0.12	30%	7 Aug →
cache	10–13	0.03	23%	6 Aug →
mirage	4–13	-0.04	9%	6 Aug →
anubis	4–13	-0.06	15%	6 Aug →
mirage	9–13	-0.01	21%	6 Aug →
mirage	13–11	0.05	19%	6 Aug →
dust2	4–13	-0.00	18%	6 Aug →
mirage	13–9	-0.01	18%	5 Aug →
anubis	13–4	0.00	31%	5 Aug →
mirage	13–6	-0.02	16%	5 Aug →
mirage	9–13	0.03	31%	5 Aug →
cache	13–11	-0.02	23%	4 Aug →
anubis	13–2	-0.02	19%	4 Aug →
anubis	15–15	0.07	17%	3 Aug →
anubis	12–16	-0.04	14%	3 Aug →
anubis	13–3	0.20	18%	2 Aug →
mirage	6–13	0.02	23%	2 Aug →
mirage	13–8	0.03	9%	2 Aug →
mirage	10–13	0.03	18%	2 Aug →
mirage	13–6	0.04	11%	1 Aug →
mirage	13–16	0.02	17%	1 Aug →
mirage	10–13	0.04	22%	31 Jul →
anubis	13–9	-0.05	11%	31 Jul →
mirage	10–13	-0.00	20%	31 Jul →
dust2	5–13	0.01	28%	30 Jul →
anubis	9–13	0.02	20%	29 Jul →
dust2	15–15	0.07	29%	29 Jul →
ancient	7–13	0.04	22%	28 Jul →
cache	13–10	-0.01	27%	28 Jul →
mirage	7–13	-0.03	13%	27 Jul →
inferno	10–13	-0.08	19%	27 Jul →
mirage	13–5	0.04	19%	27 Jul →
dust2	13–8	0.10	30%	27 Jul →
anubis	13–11	0.00	19%	27 Jul →
mirage	8–13	0.05	26%	26 Jul →
mirage	4–13	-0.05	17%	22 Jul →
mirage	8–13	-0.00	21%	13 Jul →
cache	13–11	0.03	13%	13 Jul →
inferno	3–13	-0.01	20%	12 Jul →
cache	6–13	-0.01	21%	10 Jul →
mirage	13–3	0.01	22%	9 Jul →
ancient	8–13	-0.04	18%	5 Jul →
mirage	2–11	0.04	15%	5 Jul →
cache	11–2	0.24	41%	5 Jul →
mirage	8–13	0.07	12%	5 Jul →