ShaoMay — CS2 Stats

76561198106083359[U:1:145817631]

781Tracked matches61%Win rate2020Tracked since

CSDB Rating7.0 StrongAggressive Rifler

Premier CS Rating20,480Pink band · top ~8% of ranked players (population est.)

CSDB Leaderboard#2145 of 5360 tracked

FaceitLevel 6Top 54.0% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim90

Positioning50

Utility55

0–100 skill scores via Leetify.

Recent form

HOT55–42–3Last 10055%Win rateWWWWWWLLWL

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

Player DNA

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

Aim9.0

Aggression6.8

Utility5.5

Positioning5.0

Opening Duels2.0

Clutch2.4

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 Twistzz 92% playstyle similarity

Most alike: opening-duel success, aim 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 90 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 40 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

Aim9.0

Positioning5.0

Utility5.5

Mechanics8.4

Opening Duels2.0

Win Impact8.6

Composite 7.0/10 (Strong), 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 rating0.01+0.00

first ⅓ avg 0.00 → last ⅓ avg 0.01

Reaction time532ms−41ms

first ⅓ avg 573ms → last ⅓ avg 532ms

Headshot accuracy19.5%−0.2%

first ⅓ avg 19.7% → last ⅓ avg 19.5%

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

0.14Best rating — inferno 9–13

13–0Biggest win — dust2

9Longest win streak

W6Current streak

12–2In matches decided by ≤2 rounds

9Overtime games

Map breakdown

mirageBest map · 74% over 35cacheWeakest map · 25% over 12

Map	Grade	Played	Record	Win rate	Avg rating
mirage	S	35	26–9	74%	0.01
inferno	B	26	12–14	46%	0.00
dust2	B	15	7–8	47%	-0.00
cache	D	12	3–9	25%	-0.01
ancient	S	6	4–2	67%	0.04
anubis	—	4	2–2	50%	-0.02
nuke	—	1	0–1	0%	0.02
overpass	—	1	1–0	100%	0.09

Across the last 100 tracked matches.

Faceit stats

Combat

395Matches

52%Win rate

1.15Avg K/D

78.8ADR

43%Headshot %

Clutches & streaks

32%1v1 clutch win

17%1v2 clutch win

10Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	58	60%	1.16	15.9
Inferno	30	43%	1.18	16.5
Anubis	25	64%	1.14	14.5
Dust2	16	44%	0.97	14.8
Ancient	12	33%	1.32	16.3
Cache	7	43%	0.98	15.9
Nuke	1	0%	0.56	9.0
Overpass	1	100%	0.83	10.0

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.

20.3%Headshot accuracy

39.6%Accuracy (enemy spotted)

39.3%Spray accuracy

87.8%Counter-strafing

7.8°Preaim

540msReaction time

35.9%T opening success

39.8%CT opening success

0.47Enemies flashed / flash

8.8%Flash assists

13.73HE damage / grenade

6.35Flashes / 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 0.469 — 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 35.8678% — 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.

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
anubis	13–11	0.02	15%	27 Aug →
mirage	13–4	-0.01	15%	27 Aug →
inferno	13–11	-0.05	31%	27 Aug →
inferno	13–9	-0.06	18%	21 Aug →
mirage	13–6	-0.05	16%	21 Aug →
inferno	13–10	0.05	22%	21 Aug →
dust2	8–13	-0.04	19%	21 Aug →
dust2	7–13	0.00	10%	16 Aug →
mirage	16–13	0.06	14%	16 Aug →
inferno	9–13	-0.02	20%	14 Aug →
mirage	15–15	-0.02	26%	14 Aug →
mirage	5–13	0.01	23%	14 Aug →
inferno	10–13	-0.02	15%	11 Aug →
dust2	6–13	-0.05	27%	11 Aug →
inferno	13–9	0.01	17%	11 Aug →
mirage	13–11	-0.03	28%	9 Aug →
mirage	13–11	-0.02	10%	9 Aug →
inferno	13–11	0.07	20%	9 Aug →
dust2	13–1	0.11	31%	9 Aug →
mirage	13–10	0.02	19%	29 Jul →
cache	15–15	-0.01	22%	27 Jul →
inferno	5–13	-0.02	18%	26 Jul →
mirage	5–13	-0.01	27%	26 Jul →
dust2	13–11	-0.06	23%	26 Jul →
inferno	9–13	0.14	21%	26 Jul →
mirage	13–3	0.10	13%	25 Jul →
anubis	13–7	-0.02	27%	25 Jul →
cache	5–13	0.03	23%	24 Jul →
mirage	13–6	0.06	14%	24 Jul →
mirage	11–13	-0.02	26%	24 Jul →
mirage	2–0	0.00	0%	24 Jul →
ancient	13–3	0.04	10%	24 Jul →
dust2	6–13	-0.03	26%	22 Jul →
dust2	10–13	-0.05	25%	22 Jul →
anubis	3–13	-0.04	24%	19 Jul →
dust2	7–13	0.00	15%	19 Jul →
inferno	13–11	-0.00	28%	19 Jul →
inferno	7–13	-0.06	13%	18 Jul →
inferno	10–13	-0.03	39%	18 Jul →
mirage	13–11	0.04	24%	18 Jul →
mirage	6–13	-0.08	14%	18 Jul →
mirage	13–11	-0.03	8%	17 Jul →
mirage	8–13	0.01	24%	17 Jul →
cache	1–13	-0.07	17%	17 Jul →
ancient	13–9	0.06	16%	17 Jul →
ancient	13–4	0.07	41%	17 Jul →
nuke	8–13	0.02	23%	3 Jul →
dust2	13–6	0.04	22%	3 Jul →
dust2	14–16	0.08	24%	25 Jun →
mirage	9–13	0.06	19%	18 Jun →
mirage	13–10	0.09	13%	18 Jun →
inferno	13–8	0.01	14%	18 Jun →
inferno	4–13	0.02	24%	18 Jun →
mirage	13–7	0.11	21%	17 Jun →
inferno	15–15	0.03	20%	17 Jun →
mirage	6–13	-0.04	25%	14 Jun →
mirage	16–13	0.05	13%	14 Jun →
mirage	0–13	-0.08	0%	14 Jun →
mirage	13–9	0.02	20%	13 Jun →
dust2	13–10	0.05	34%	30 May →
inferno	4–13	-0.11	8%	28 May →
inferno	8–13	0.00	16%	28 May →
mirage	13–8	-0.00	13%	28 May →
anubis	5–13	-0.06	17%	28 May →
inferno	9–13	-0.01	17%	26 May →
cache	7–13	0.03	20%	25 May →
inferno	5–13	0.07	25%	25 May →
ancient	8–13	0.03	18%	11 May →
inferno	13–10	0.01	24%	11 May →
mirage	13–8	0.00	24%	11 May →
mirage	13–4	0.05	20%	11 May →
ancient	13–4	0.07	22%	11 May →
inferno	13–10	0.01	12%	10 May →
mirage	13–10	0.02	18%	10 May →
cache	13–9	0.02	26%	10 May →
mirage	13–9	0.00	18%	10 May →
cache	13–3	0.06	23%	10 May →
cache	8–13	0.05	13%	7 May →
cache	2–13	-0.09	33%	7 May →
inferno	8–13	0.03	28%	3 May →
cache	13–16	-0.02	12%	2 May →
mirage	13–8	-0.02	15%	2 May →
inferno	6–13	-0.02	16%	2 May →
cache	0–13	-0.13	7%	29 Apr →
cache	9–13	0.00	13%	29 Apr →
cache	13–2	-0.03	21%	29 Apr →
overpass	13–11	0.09	21%	25 Apr →
mirage	13–9	-0.00	24%	25 Apr →
dust2	13–4	-0.02	24%	25 Apr →
inferno	13–10	-0.04	23%	20 Apr →
mirage	28–25	0.01	13%	16 Apr →
inferno	13–10	0.09	16%	16 Apr →
dust2	13–6	-0.03	14%	16 Apr →
inferno	13–6	-0.05	24%	16 Apr →
ancient	1–13	-0.06	44%	12 Apr →
dust2	13–16	-0.05	12%	12 Apr →
mirage	13–4	0.08	24%	12 Apr →
mirage	13–3	0.09	27%	9 Apr →
dust2	13–0	0.00	0%	9 Apr →
mirage	13–11	-0.00	21%	9 Apr →