Face Gwai — CS2 Stats

76561197985531415[U:1:25265687]

404Tracked matches55%Win rate2020Tracked since

CSDB Rating5.7 SolidPassive Rifler

Premier CS Rating23,149Top 50% of 819 CSDB-tracked playersPink band · top ~5% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim68

Positioning45

Utility63

0–100 skill scores via Leetify.

Recent form

STEADY52–47–1Last 10052%Win rateLWWTLWWWLW

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

Player DNA

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

Aim6.8

Aggression2.2

Utility6.3

Positioning4.5

Opening Duels0.0

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 NiKo 83% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-fight frequency; 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 38% on CT to 16% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 576ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim6.8

Positioning4.5

Utility6.3

Mechanics6.4

Opening Duels1.0

Win Impact6.7

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 rating0.00−0.03

first ⅓ avg 0.03 → last ⅓ avg 0.00

Reaction time569ms−71ms

first ⅓ avg 640ms → last ⅓ avg 569ms

Headshot accuracy20.1%+0.4%

first ⅓ avg 19.7% → last ⅓ avg 20.1%

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

0.10Best rating — cache 13–9

13–0Biggest win — dust2

5Longest win streak

9–8In matches decided by ≤2 rounds

10Overtime games

Map breakdown

mirageBest map · 64% over 25infernoWeakest map · 42% over 12

Map	Grade	Played	Record	Win rate	Avg rating
cache	B	34	16–18	47%	0.02
dust2	B	26	14–12	54%	0.01
mirage	A	25	16–9	64%	0.01
inferno	C	12	5–7	42%	-0.00
nuke	—	2	0–2	0%	0.00
ancient	—	1	1–0	100%	0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

20.1%Headshot accuracy

32.4%Accuracy (enemy spotted)

32.1%Spray accuracy

78.8%Counter-strafing

8.9°Preaim

576msReaction time

16.1%T opening success

38.0%CT opening success

0.66Enemies flashed / flash

12.2%Flash assists

12.54HE damage / grenade

8.71Flashes / 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 16.1449% — below the 40% mark we flag

Spend your practice time on Inferno

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

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	7–13	-0.01	21%	27 Aug →
inferno	13–7	-0.01	11%	27 Aug →
cache	13–9	-0.00	18%	26 Aug →
dust2	15–15	-0.01	17%	26 Aug →
cache	9–13	-0.02	17%	25 Aug →
dust2	13–2	0.03	16%	25 Aug →
mirage	13–11	0.05	17%	25 Aug →
mirage	13–9	0.04	16%	24 Aug →
nuke	10–13	0.02	23%	24 Aug →
dust2	13–8	0.02	20%	24 Aug →
mirage	14–16	0.03	28%	21 Aug →
mirage	12–4	0.04	30%	21 Aug →
dust2	13–4	0.06	25%	21 Aug →
dust2	10–13	-0.00	24%	20 Aug →
cache	7–13	-0.02	24%	20 Aug →
inferno	10–13	-0.02	30%	19 Aug →
mirage	13–8	-0.02	17%	19 Aug →
cache	13–11	-0.03	19%	18 Aug →
cache	13–5	-0.03	21%	13 Aug →
inferno	11–13	-0.04	31%	13 Aug →
cache	6–13	-0.04	8%	12 Aug →
inferno	6–13	-0.05	18%	12 Aug →
inferno	13–9	0.04	12%	11 Aug →
cache	5–13	0.01	15%	11 Aug →
dust2	9–13	0.06	23%	6 Aug →
cache	13–3	0.07	28%	5 Aug →
dust2	1–13	-0.01	28%	5 Aug →
dust2	16–12	-0.00	16%	5 Aug →
ancient	16–13	0.00	16%	4 Aug →
mirage	13–4	0.03	16%	4 Aug →
mirage	13–7	-0.02	10%	3 Aug →
dust2	13–4	-0.04	23%	3 Aug →
cache	13–16	0.03	26%	2 Aug →
mirage	13–4	0.02	8%	2 Aug →
dust2	13–0	0.02	15%	2 Aug →
cache	8–13	0.04	25%	2 Aug →
inferno	4–13	0.02	22%	2 Aug →
dust2	8–13	0.03	17%	1 Aug →
inferno	13–11	0.00	9%	1 Aug →
mirage	13–6	0.01	21%	1 Aug →
mirage	13–6	0.04	9%	1 Aug →
dust2	11–13	0.01	20%	1 Aug →
cache	5–13	-0.04	7%	31 Jul →
mirage	14–16	-0.00	20%	31 Jul →
mirage	10–13	-0.00	24%	30 Jul →
inferno	13–9	-0.09	16%	30 Jul →
dust2	9–4	0.04	24%	30 Jul →
dust2	14–16	-0.03	17%	29 Jul →
mirage	4–13	-0.05	30%	29 Jul →
cache	13–16	-0.04	16%	28 Jul →
cache	11–13	-0.03	8%	28 Jul →
dust2	8–13	-0.05	14%	28 Jul →
cache	13–9	0.05	18%	27 Jul →
dust2	13–8	0.03	26%	27 Jul →
nuke	4–13	-0.02	21%	27 Jul →
mirage	16–14	0.02	18%	26 Jul →
cache	13–11	0.07	22%	26 Jul →
mirage	11–13	-0.03	10%	25 Jul →
dust2	1–13	-0.03	23%	25 Jul →
inferno	8–13	0.05	18%	25 Jul →
dust2	13–8	0.04	29%	24 Jul →
cache	0–13	-0.04	14%	24 Jul →
mirage	9–13	0.01	21%	23 Jul →
dust2	13–8	-0.02	28%	22 Jul →
cache	13–11	-0.05	11%	22 Jul →
mirage	13–7	-0.01	17%	21 Jul →
cache	2–13	-0.02	17%	21 Jul →
dust2	13–9	0.07	20%	21 Jul →
inferno	13–9	-0.00	16%	20 Jul →
cache	10–13	0.00	16%	20 Jul →
inferno	13–16	0.02	16%	19 Jul →
cache	6–13	-0.00	24%	19 Jul →
mirage	13–11	-0.00	16%	19 Jul →
dust2	13–6	0.05	28%	18 Jul →
mirage	13–7	0.00	19%	18 Jul →
cache	13–9	0.10	32%	17 Jul →
cache	5–13	-0.01	18%	17 Jul →
cache	8–13	0.07	19%	16 Jul →
inferno	11–13	0.04	19%	16 Jul →
mirage	13–6	0.05	17%	16 Jul →
mirage	7–13	0.01	20%	15 Jul →
dust2	2–13	0.01	15%	15 Jul →
cache	13–5	0.05	26%	14 Jul →
mirage	5–1	0.02	12%	14 Jul →
dust2	13–11	-0.00	14%	14 Jul →
mirage	13–9	-0.01	11%	13 Jul →
dust2	10–13	0.05	33%	13 Jul →
cache	13–9	0.06	13%	12 Jul →
cache	6–13	0.03	15%	12 Jul →
dust2	7–13	-0.01	16%	12 Jul →
cache	13–9	0.09	19%	11 Jul →
cache	13–9	0.05	11%	11 Jul →
dust2	13–3	0.05	17%	10 Jul →
mirage	9–13	-0.03	13%	10 Jul →
cache	13–3	0.10	42%	8 Jul →
cache	13–9	0.03	13%	8 Jul →
cache	13–2	0.07	25%	8 Jul →
cache	13–11	0.03	17%	7 Jul →
cache	10–13	0.05	31%	7 Jul →
mirage	10–13	0.05	26%	5 Jul →