﮳Fray⁧⁧Mac﮳ — CS2 Stats

AU76561198089973826[U:1:129708098]Steam profile ↗✓ No bans

4,290Tracked matches50%Win rate2021Tracked since

4,707Hours in CS46Hrs last 2 wks

CSDB Rating7.0 StrongAggressive Rifler

Premier CS Rating15,120Purple band · top ~27.9% of ranked players (population est.)

CSDB Leaderboard#14601 of 23202 tracked

Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=2,789), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Purple band median	Pink band median	vs Pink band
Headshot rate	48.5%	44.1%	47.2%	above
Shot accuracy	8.0%	11.4%	12.7%	4.7% short
Kill/death ratio	1.02	1.03	1.09	0.07 short
Match win rate	47.1%	45.2%	46.6%	meets

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim85

Positioning68

Utility59

0–100 skill scores via Leetify.

Recent form

HOT51–42–7Last 10051%Win rateTWWWWWWWWL

Last 10 vs previous 10: +40pp win rate · +0.08 avg rating

Player DNA

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

Aim8.5

Aggression10.0

Utility5.9

Positioning6.8

Opening Duels5.2

Clutch5.0

Sharp aimerStrong 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 sh1ro 94% playstyle similarity

Most alike: positioning profile, 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

CT openings. 64% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 64% on CT to 37% 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

Aim8.5

Positioning6.8

Utility5.9

Mechanics7.6

Opening Duels5.2

Win Impact5.0

Composite 7.0/10 (Strong), 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 rating0.04+0.01

first ⅓ avg 0.03 → last ⅓ avg 0.04

Reaction time514ms−61ms

first ⅓ avg 574ms → last ⅓ avg 514ms

Headshot accuracy21.3%−2.6%

first ⅓ avg 23.8% → last ⅓ avg 21.3%

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

0.18Best rating — inferno 13–10

13–3Biggest win — dust2

8Longest win streak

6–6In matches decided by ≤2 rounds

7Overtime games

Map breakdown

ancientBest map · 67% over 6cacheWeakest map · 38% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	35	18–17	51%	0.04
mirage	B	23	12–11	52%	0.02
inferno	A	14	8–6	57%	0.03
cache	C	8	3–5	38%	0.06
ancient	S	6	4–2	67%	0.01
anubis	A	5	3–2	60%	0.04
nuke	—	4	1–3	25%	0.00
vertigo	—	2	1–1	50%	0.06
train	—	2	1–1	50%	0.05
office	—	1	0–1	0%	0.06

Across the last 100 tracked matches.

Lifetime stats

130,873Lifetime kills

1.02K/D

6,460Matches

47.1%Match win rate · Top 50% of Purple band

48.5%Headshot % · Top 50% of Purple band

8.0%Shot accuracy

13,985MVPs

3,640Hours (in match)

4,418Bombs planted

1,661Bombs defused

Most-used weapons

AK-4748,877

M4A4 / M4A1-S18,580

AWP14,388

P2000 / USP-S7,402

Desert Eagle7,142

Glock-184,524

MP94,427

SSG 083,674

MAC-103,041

Galil AR1,801

Lifetime map wins

18,309dust2

7,583inferno

4,417nuke

2,561vertigo

1,568train

945office

286cbble

139italy

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

107Matches

48%Win rate

1.17Avg K/D

96.9ADR

45%Headshot %

Clutches & streaks

45%1v1 clutch win

29%1v2 clutch win

6Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	10	70%	1.44	20.4
Dust2	9	56%	1.29	19.3
Inferno	6	83%	2.13	19.7
Ancient	4	25%	1.21	18.0
Anubis	4	75%	1.42	16.8
Nuke	2	50%	1.47	16.0
Train	1	0%	1.24	21.0
Vertigo	1	100%	2.00	22.0

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.

21.3%Headshot accuracy

36.4%Accuracy (enemy spotted)

38.5%Spray accuracy

84.0%Counter-strafing

9.2°Preaim

519msReaction time

37.5%T opening success

64.0%CT opening success

0.59Enemies flashed / flash

7.5%Flash assists

8.09HE damage / grenade

15.62Flashes / 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 37.4714% — below the 40% mark we flag

Spend your practice time on Cache

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
nuke	12–12	0.02	23%	28 Aug →
dust2	13–10	0.01	33%	28 Aug →
dust2	13–11	0.05	33%	28 Aug →
mirage	13–9	0.10	17%	27 Aug →
mirage	13–7	0.13	24%	27 Aug →
inferno	13–10	0.18	16%	27 Aug →
dust2	16–12	0.10	27%	27 Aug →
mirage	13–10	0.13	25%	27 Aug →
ancient	13–8	0.02	16%	27 Aug →
dust2	11–13	0.09	31%	27 Aug →
vertigo	6–13	0.04	27%	27 Aug →
ancient	11–13	-0.05	20%	27 Aug →
mirage	13–10	-0.06	5%	26 Aug →
cache	10–13	-0.01	15%	26 Aug →
dust2	13–11	0.06	20%	25 Aug →
mirage	5–13	0.02	21%	25 Aug →
cache	13–5	0.10	31%	25 Aug →
inferno	10–13	-0.07	21%	25 Aug →
inferno	13–11	-0.01	21%	24 Aug →
nuke	11–13	0.01	19%	24 Aug →
mirage	14–16	-0.01	17%	24 Aug →
anubis	13–9	0.04	20%	24 Aug →
ancient	13–8	0.17	32%	24 Aug →
dust2	8–13	0.03	22%	24 Aug →
mirage	10–13	-0.03	16%	24 Aug →
dust2	9–13	0.08	30%	24 Aug →
mirage	10–13	0.02	15%	23 Aug →
mirage	12–12	0.02	17%	23 Aug →
mirage	4–13	-0.06	10%	23 Aug →
dust2	8–13	-0.02	13%	23 Aug →
dust2	13–11	0.11	22%	23 Aug →
mirage	9–13	0.02	22%	23 Aug →
cache	3–13	0.02	21%	21 Aug →
mirage	13–5	0.08	10%	21 Aug →
anubis	13–6	0.10	24%	21 Aug →
inferno	13–8	0.05	30%	21 Aug →
dust2	13–10	0.02	26%	20 Aug →
nuke	13–7	-0.05	27%	20 Aug →
dust2	13–5	0.14	25%	20 Aug →
cache	10–13	0.07	17%	20 Aug →
mirage	13–8	0.05	21%	20 Aug →
dust2	13–9	0.07	25%	20 Aug →
dust2	1–13	0.00	22%	20 Aug →
dust2	7–13	-0.02	29%	20 Aug →
dust2	12–12	0.04	22%	20 Aug →
ancient	13–10	-0.03	18%	20 Aug →
dust2	2–13	-0.08	15%	20 Aug →
inferno	13–8	0.08	11%	19 Aug →
cache	12–12	0.04	39%	19 Aug →
inferno	8–13	0.05	19%	19 Aug →
dust2	13–8	-0.01	26%	19 Aug →
dust2	9–13	0.05	38%	19 Aug →
inferno	9–13	-0.04	18%	19 Aug →
dust2	13–6	0.02	31%	19 Aug →
mirage	9–13	0.02	38%	17 Aug →
mirage	13–11	0.03	17%	17 Aug →
nuke	8–13	0.03	39%	15 Aug →
dust2	13–9	0.11	21%	15 Aug →
cache	11–13	0.10	28%	14 Aug →
inferno	3–13	0.05	15%	14 Aug →
dust2	13–16	0.07	27%	13 Aug →
mirage	5–13	-0.00	29%	13 Aug →
train	13–4	0.02	32%	13 Aug →
vertigo	13–6	0.07	16%	13 Aug →
inferno	13–10	0.03	16%	13 Aug →
ancient	5–13	-0.07	12%	13 Aug →
ancient	13–7	0.04	27%	13 Aug →
mirage	7–2	-0.00	27%	13 Aug →
dust2	13–8	-0.01	29%	13 Aug →
anubis	12–16	0.01	22%	12 Aug →
dust2	15–15	0.00	25%	12 Aug →
dust2	13–5	-0.00	10%	12 Aug →
mirage	9–13	-0.04	21%	11 Aug →
dust2	13–8	0.16	25%	11 Aug →
mirage	13–8	0.06	27%	11 Aug →
inferno	9–13	0.00	18%	9 Aug →
mirage	1–9	-0.04	18%	9 Aug →
anubis	13–5	0.07	28%	9 Aug →
dust2	6–13	-0.05	28%	9 Aug →
inferno	13–7	0.02	12%	9 Aug →
dust2	2–13	0.02	29%	9 Aug →
office	3–13	0.06	33%	9 Aug →
train	11–13	0.08	38%	9 Aug →
inferno	13–10	0.00	12%	7 Aug →
dust2	13–7	0.03	14%	7 Aug →
mirage	13–10	-0.01	35%	7 Aug →
dust2	12–12	0.01	27%	7 Aug →
mirage	13–11	-0.04	17%	5 Aug →
inferno	9–2	-0.02	11%	5 Aug →
cache	13–9	0.11	27%	5 Aug →
dust2	8–13	0.07	30%	5 Aug →
dust2	13–3	0.01	23%	4 Aug →
dust2	15–15	0.05	28%	4 Aug →
dust2	13–3	0.13	33%	4 Aug →
dust2	7–13	-0.01	24%	4 Aug →
anubis	6–13	-0.04	19%	4 Aug →
mirage	13–7	-0.01	31%	4 Aug →
cache	13–9	0.04	24%	3 Aug →
dust2	13–4	0.11	25%	3 Aug →
inferno	13–16	0.06	19%	3 Aug →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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