moon — CS2 Stats

76561198070582587[U:1:110316859]Steam profile ↗✓ No bans

795Tracked matches70%Win rate2020Tracked since

CSDB Rating8.2 StrongEntry Fragger

Premier CS Rating24,201Top 25% of 29,473 CSDB-tracked playersPink band · top ~3.9% of ranked players (population est.)

CSDB Leaderboard#8280 of 51512 tracked

FaceitLevel 9Top 20.7% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim91

Positioning81

Utility53

0–100 skill scores via Leetify.

Recent form

HOT56–41–3Last 10056%Win rateWWWWWWWWLL

Last 10 vs previous 10: +20pp win rate · -0.00 avg rating

Player DNA

Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.

Aim9.1

Aggression10.0

Utility5.3

Positioning8.1

Opening Duels6.6

Clutch2.2

Sharp aimerLimited utility dependence

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 s1mple 94% playstyle similarity

Most alike: opening-fight frequency, positioning 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

Strengths

Aim. Aim score of 91 — the mechanical foundation is a clear strength.

Areas to improve

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

Aim9.1

Positioning8.1

Utility5.3

Mechanics8.3

Opening Duels6.6

Win Impact10.0

Composite 8.2/10 (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 rating0.07+0.04

first ⅓ avg 0.03 → last ⅓ avg 0.07

Reaction time550ms−49ms

first ⅓ avg 598ms → last ⅓ avg 550ms

Headshot accuracy21.2%−2.1%

first ⅓ avg 23.3% → last ⅓ avg 21.2%

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 — mirage 13–0

13–0Biggest win — mirage

8Longest win streak

W8Current streak

6–10In matches decided by ≤2 rounds

8Overtime games

Map breakdown

anubisBest map · 83% over 6infernoWeakest map · 40% over 15

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	19	10–9	53%	0.05
dust2	C	18	8–10	44%	0.04
nuke	S	17	11–6	65%	0.06
inferno	C	15	6–9	40%	0.02
cache	B	13	7–6	54%	0.07
ancient	S	7	5–2	71%	0.04
anubis	S	6	5–1	83%	0.03
overpass	—	3	2–1	67%	0.05
vertigo	—	1	1–0	100%	0.08
train	—	1	1–0	100%	0.10

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

186Matches

60%Win rate

1.89Avg K/D

103.3ADR

49%Headshot %

Clutches & streaks

31%1v1 clutch win

20%1v2 clutch win

7Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	16	31%	1.18	17.8
Inferno	14	50%	1.68	22.7
Mirage	14	50%	1.65	20.2
Nuke	12	58%	1.63	18.1
Dust2	8	12%	1.20	18.3
Ancient	6	50%	1.62	21.2
Train	5	60%	1.72	29.4
Overpass	4	100%	1.74	21.0

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.

20.7%Headshot accuracy

38.8%Accuracy (enemy spotted)

43.9%Spray accuracy

87.4%Counter-strafing

8.0°Preaim

546msReaction time

57.3%T opening success

55.2%CT opening success

0.49Enemies flashed / flash

7.2%Flash assists

15.23HE damage / grenade

1.99Flashes / 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 0.4943 — below the 0.5 mark we flag
Grenade Lineups →

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.

40% win rate across 15 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
dust2	13–9	-0.00	18%	29 Aug →
ancient	13–5	0.08	30%	29 Aug →
anubis	13–8	-0.01	13%	29 Aug →
ancient	13–2	0.07	15%	29 Aug →
inferno	13–10	0.00	18%	29 Aug →
inferno	13–9	0.05	15%	28 Aug →
dust2	13–1	0.24	32%	28 Aug →
nuke	13–4	0.08	19%	28 Aug →
dust2	7–13	0.05	12%	27 Aug →
mirage	5–13	-0.01	13%	27 Aug →
mirage	13–8	0.11	32%	26 Aug →
anubis	7–13	0.03	20%	26 Aug →
cache	14–16	0.02	24%	24 Aug →
cache	11–13	0.03	22%	23 Aug →
anubis	13–4	0.10	23%	23 Aug →
dust2	11–13	0.10	16%	23 Aug →
vertigo	13–1	0.08	24%	21 Aug →
anubis	13–8	0.02	23%	21 Aug →
cache	7–3	0.02	36%	21 Aug →
mirage	13–11	0.04	19%	20 Aug →
cache	13–2	0.12	21%	13 Aug →
anubis	13–9	0.03	22%	6 Aug →
dust2	10–13	0.05	12%	6 Aug →
nuke	13–5	0.09	24%	5 Aug →
inferno	11–13	-0.01	14%	5 Aug →
cache	13–3	0.14	34%	1 Aug →
nuke	13–6	0.18	14%	1 Aug →
mirage	13–16	0.12	30%	30 Jul →
nuke	13–5	0.09	16%	30 Jul →
mirage	13–11	0.11	20%	28 Jul →
cache	11–13	0.07	21%	26 Jul →
inferno	13–7	0.05	14%	26 Jul →
mirage	10–13	0.02	32%	26 Jul →
mirage	11–13	0.01	18%	25 Jul →
cache	16–14	0.10	14%	25 Jul →
nuke	13–10	0.07	19%	25 Jul →
mirage	6–13	-0.02	9%	24 Jul →
dust2	5–13	-0.00	32%	24 Jul →
cache	9–13	0.15	30%	23 Jul →
ancient	10–13	0.08	30%	23 Jul →
cache	13–11	0.04	20%	22 Jul →
mirage	6–13	0.06	19%	22 Jul →
inferno	15–15	0.03	26%	21 Jul →
dust2	15–15	0.12	22%	20 Jul →
cache	0–13	-0.08	0%	20 Jul →
nuke	5–13	-0.05	11%	20 Jul →
cache	9–13	0.02	26%	18 Jul →
nuke	7–13	-0.01	18%	18 Jul →
dust2	13–8	0.05	41%	17 Jul →
cache	13–10	0.14	25%	16 Jul →
mirage	13–0	0.24	31%	16 Jul →
inferno	10–13	0.01	34%	16 Jul →
inferno	9–13	0.03	21%	15 Jul →
anubis	13–10	0.01	17%	15 Jul →
cache	8–0	0.12	25%	15 Jul →
mirage	13–6	0.07	20%	22 Jun →
inferno	11–13	0.01	19%	22 Jun →
mirage	13–9	0.09	21%	20 Jun →
nuke	15–15	0.09	18%	20 Jun →
inferno	13–6	0.09	15%	20 Jun →
ancient	10–13	-0.00	16%	6 Jan →
inferno	13–10	0.04	11%	5 Jan →
ancient	13–9	0.04	21%	5 Jan →
inferno	2–13	-0.07	13%	5 Jan →
overpass	13–10	0.03	30%	30 Dec →
mirage	13–3	0.03	19%	30 Dec →
nuke	13–9	0.03	12%	30 Dec →
nuke	13–5	0.09	21%	22 Nov →
dust2	10–13	0.03	19%	21 Oct →
dust2	4–13	-0.04	31%	27 Sept →
nuke	4–13	0.02	22%	26 Sept →
nuke	13–5	0.07	38%	24 Sept →
mirage	2–13	-0.02	14%	24 Sept →
mirage	13–8	0.01	34%	24 Sept →
dust2	7–13	0.05	32%	23 Sept →
dust2	13–11	-0.01	21%	23 Sept →
nuke	8–13	-0.01	22%	19 Sept →
dust2	13–16	0.05	33%	18 Sept →
mirage	14–16	0.02	26%	17 Sept →
nuke	13–5	0.10	27%	17 Sept →
dust2	13–1	0.01	22%	17 Sept →
overpass	13–6	0.09	30%	17 Sept →
inferno	7–13	0.00	18%	17 Sept →
dust2	13–5	-0.01	22%	17 Sept →
dust2	13–10	-0.00	21%	8 Sept →
mirage	13–9	0.00	16%	8 Sept →
inferno	13–9	0.06	24%	7 Sept →
nuke	13–7	0.07	24%	7 Sept →
inferno	6–13	-0.05	13%	6 Sept →
nuke	9–13	-0.02	25%	6 Sept →
dust2	13–8	-0.01	24%	5 Sept →
nuke	13–11	0.12	29%	5 Sept →
ancient	13–8	-0.01	27%	5 Sept →
mirage	11–13	0.03	27%	5 Sept →
mirage	13–0	0.12	20%	4 Sept →
overpass	9–13	0.04	19%	4 Sept →
dust2	11–13	0.04	15%	30 Aug →
inferno	8–13	-0.01	9%	16 Aug →
train	13–9	0.10	24%	16 Aug →
ancient	13–2	0.03	22%	16 Aug →