Pai Mei — CS2 Stats

76561198070476611[U:1:110210883]

2,918Tracked matches52%Win rate2020Tracked since

CSDB Rating5.7 SolidHybrid Rifler

Premier CS Rating22,973Top 50% of 819 CSDB-tracked playersPink band · top ~5.2% of ranked players (population est.)

CSDB Leaderboard#4219 of 15521 tracked

FaceitLevel 6Top 54.0% of ranked FACEIT players

WingmanMaster Guardian I

Ladder ranks via Leetify

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Performance scores

Aim72

Positioning42

Utility59

0–100 skill scores via Leetify.

Recent form

STEADY56–41–3Last 10056%Win rateLLWWLWLLWL

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

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

Aim7.2

Aggression6.0

Utility5.9

Positioning4.2

Opening Duels0.9

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 NiKo 87% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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 44% on CT to 23% 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

Aim7.2

Positioning4.2

Utility5.9

Mechanics6.2

Opening Duels1.8

Win Impact5.6

Composite 5.7/10 (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 rating0.01−0.01

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time532ms−11ms

first ⅓ avg 542ms → last ⅓ avg 532ms

Headshot accuracy16.1%−2.4%

first ⅓ avg 18.4% → last ⅓ avg 16.1%

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

0.17Best rating — cache 13–0

13–0Biggest win — cache

5Longest win streak

L2Current streak

4–10In matches decided by ≤2 rounds

6Overtime games

Map breakdown

mirageBest map · 75% over 8anubisWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	22	12–10	55%	0.02
inferno	S	20	14–6	70%	0.01
cache	B	17	8–9	47%	0.02
ancient	B	13	7–6	54%	0.01
mirage	S	8	6–2	75%	0.03
anubis	D	7	1–6	14%	-0.01
nuke	S	7	5–2	71%	0.02
overpass	A	5	3–2	60%	0.01
train	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

193Matches

56%Win rate

1.03Avg K/D

—ADR

37%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

10Longest win streak

Recent Faceit resultsLLLLL

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.

16.6%Headshot accuracy

34.0%Accuracy (enemy spotted)

37.3%Spray accuracy

78.0%Counter-strafing

9.1°Preaim

537msReaction time

23.0%T opening success

44.3%CT opening success

0.61Enemies flashed / flash

8.3%Flash assists

7.42HE damage / grenade

22.25Flashes / 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 22.9742% — below the 40% mark we flag

Spend your practice time on Anubis

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	5–13	-0.07	10%	30 Jul →
cache	9–13	-0.02	18%	29 Jul →
inferno	13–7	0.06	8%	29 Jul →
cache	13–7	0.08	21%	25 Jul →
dust2	10–13	0.02	18%	15 Jul →
cache	13–6	0.07	13%	15 Jul →
ancient	6–13	0.07	17%	15 Jul →
cache	6–13	-0.07	35%	14 Jul →
ancient	13–3	0.05	14%	14 Jul →
cache	11–13	-0.06	18%	14 Jul →
inferno	13–8	0.01	15%	13 Jul →
inferno	13–10	0.11	16%	13 Jul →
dust2	13–6	0.06	15%	13 Jul →
ancient	8–13	0.00	25%	12 Jul →
cache	3–13	-0.09	7%	12 Jul →
anubis	7–13	-0.05	8%	12 Jul →
mirage	9–13	0.08	31%	12 Jul →
inferno	13–10	-0.01	16%	11 Jul →
ancient	10–13	-0.04	7%	11 Jul →
dust2	5–13	-0.05	37%	11 Jul →
ancient	13–2	0.09	19%	11 Jul →
ancient	13–1	0.03	8%	11 Jul →
dust2	13–9	-0.04	12%	11 Jul →
cache	13–2	0.01	14%	11 Jul →
cache	11–13	-0.04	15%	10 Jul →
inferno	13–4	0.05	9%	10 Jul →
dust2	16–13	-0.00	18%	10 Jul →
nuke	15–15	-0.02	9%	10 Jul →
cache	8–13	0.01	10%	10 Jul →
dust2	13–7	0.02	34%	10 Jul →
dust2	9–13	-0.05	9%	9 Jul →
inferno	13–6	-0.08	17%	9 Jul →
cache	13–3	0.04	8%	9 Jul →
cache	10–0	0.04	43%	8 Jul →
cache	12–12	0.02	16%	8 Jul →
mirage	13–7	0.02	17%	7 Jul →
mirage	13–2	0.03	19%	7 Jul →
ancient	14–16	-0.04	11%	5 Jul →
dust2	11–13	0.06	13%	5 Jul →
dust2	11–13	0.09	18%	5 Jul →
dust2	13–5	0.10	16%	4 Jul →
inferno	13–10	-0.02	32%	4 Jul →
ancient	3–13	-0.07	25%	4 Jul →
inferno	13–1	-0.02	17%	4 Jul →
nuke	13–4	0.02	12%	4 Jul →
dust2	8–13	0.01	11%	4 Jul →
dust2	13–8	0.01	42%	3 Jul →
inferno	13–10	0.00	16%	3 Jul →
inferno	13–9	0.00	13%	3 Jul →
ancient	13–5	0.06	17%	3 Jul →
ancient	13–4	0.12	19%	3 Jul →
anubis	9–13	-0.00	10%	3 Jul →
cache	13–0	0.17	20%	2 Jul →
dust2	13–7	0.06	14%	1 Jul →
cache	13–8	0.05	24%	1 Jul →
inferno	8–13	0.00	8%	30 Jun →
dust2	8–13	0.04	15%	30 Jun →
mirage	12–16	-0.01	12%	29 Jun →
dust2	7–13	0.01	12%	29 Jun →
overpass	9–13	-0.04	12%	28 Jun →
mirage	13–5	0.07	50%	28 Jun →
nuke	11–13	-0.04	6%	28 Jun →
inferno	13–5	0.00	16%	28 Jun →
mirage	13–3	0.05	27%	27 Jun →
nuke	13–11	0.12	19%	27 Jun →
dust2	13–10	-0.01	20%	26 Jun →
anubis	7–13	-0.03	12%	26 Jun →
inferno	7–13	-0.03	10%	26 Jun →
dust2	13–8	0.08	21%	26 Jun →
dust2	13–4	-0.07	20%	26 Jun →
nuke	13–6	0.04	22%	25 Jun →
inferno	13–7	0.07	25%	25 Jun →
anubis	11–13	0.03	18%	24 Jun →
ancient	13–7	0.01	7%	24 Jun →
inferno	2–13	-0.06	21%	24 Jun →
nuke	13–6	-0.03	14%	24 Jun →
inferno	6–13	0.04	20%	23 Jun →
cache	5–13	0.06	16%	22 Jun →
anubis	13–9	0.05	19%	22 Jun →
inferno	13–11	0.03	8%	21 Jun →
anubis	15–15	0.03	28%	20 Jun →
mirage	13–10	0.03	15%	20 Jun →
nuke	13–6	0.03	45%	20 Jun →
inferno	9–13	0.05	35%	20 Jun →
ancient	13–11	-0.02	6%	20 Jun →
inferno	13–3	0.02	13%	20 Jun →
overpass	10–13	0.01	13%	20 Jun →
overpass	13–11	0.06	14%	20 Jun →
overpass	13–9	0.01	17%	19 Jun →
overpass	16–12	0.03	26%	19 Jun →
dust2	13–8	-0.00	17%	19 Jun →
train	11–13	-0.03	12%	18 Jun →
cache	13–6	0.06	13%	18 Jun →
dust2	13–5	0.13	38%	18 Jun →
inferno	2–13	0.01	17%	17 Jun →
anubis	11–13	-0.06	12%	17 Jun →
mirage	13–8	-0.01	25%	16 Jun →
dust2	11–13	-0.06	13%	16 Jun →
ancient	1–13	-0.07	13%	16 Jun →
dust2	10–13	-0.07	14%	16 Jun →