Mooxi — CS2 Stats

IM76561198118170257[U:1:157904529]Steam profile ↗✓ No bans

240Tracked matches70%Win rate2024Tracked since

547Hours in CS

CSDB Rating7.2 StrongPositional Player

Ladder ranks via Leetify

Performance scores

Aim92

Positioning61

Utility36

0–100 skill scores via Leetify.

Recent form

HOT71–24–5Last 10071%Win rateLWWWWWLWWW

Last 10 vs previous 10: 0pp win rate · −0.05 avg rating · +2.0pp headshot accuracy · −28ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

4–1 · 80% win rate
Avg rating 0.04
Avg headshot accuracy 26%
Avg reaction 478ms

Last 10

8–2 · 80% win rate
Avg rating 0.03
Avg headshot accuracy 25%
Avg reaction 486ms

Last 20

16–3–1 · 80% win rate
Avg rating 0.05
Avg headshot accuracy 24%
Avg reaction 500ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.7 against its own average).

Aim9.2

Utility3.6

Positioning6.1

Opening Duels3.6

Sharp aimerExcellent counter-strafingStrong CT-side openerLimited 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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like donk 88% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower utility contribution; lower opening-duel success.

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 92 — the mechanical foundation is a clear strength.

Counter-strafing. 90% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Positioning. Positioning trails aim by 32 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.

T-side openings. Opening success drops from 58% on CT to 30% 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

Aim9.2

Positioning6.1

Utility3.6

Mechanics8.9

Opening Duels3.5

Win Impact10.0

Composite 7.2/10 (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 rating0.07+0.00

first ⅓ avg 0.07 → last ⅓ avg 0.07

Reaction time520ms−68ms

first ⅓ avg 588ms → last ⅓ avg 520ms

Headshot accuracy22.4%−2.5%

first ⅓ avg 25.0% → last ⅓ avg 22.4%

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.

Personal bests

0.31Best match rating · 13–4 · office, 24 Jul →

50%Best headshot accuracy · 13–6 · office, 11 Jul →

359msFastest reaction time · 7–0 · office, 30 Jul →

13–0Biggest win · nuke, 28 Jul →

Across the last 100 tracked matches.

Highlights

9Longest win streak

6–5In matches decided by ≤2 rounds

Map breakdown

vertigoBest map · 80% over 5cacheWeakest map · 57% over 7

Map	Grade	Played	Record	Win rate	Avg rating
office	S	31	23–8	74%	0.09
nuke	S	29	22–7	76%	0.08
cache	A	7	4–3	57%	0.06
mirage	S	6	4–2	67%	0.08
ancient	S	6	4–2	67%	0.05
vertigo	S	5	4–1	80%	0.10
overpass	—	4	3–1	75%	0.08
anubis	—	3	0–3	0%	0.01
inferno	—	2	2–0	100%	0.12
italy	—	2	1–1	50%	0.08
shelter	—	2	1–1	50%	0.05
boulder	—	1	1–0	100%	0.11
dust2	—	1	1–0	100%	-0.01
train	—	1	1–0	100%	0.07

Across the last 100 tracked matches.

Lifetime stats

27,778Lifetime kills

1.02K/D · Top 50% of tracked players

1,342Matches

39.5%Match win rate

33.7%Headshot %

14.1%Shot accuracy · Top 50% of tracked players

2,579MVPs

547Hours (in match)

590Bombs planted

191Bombs defused

Most-used weapons

P2000 / USP-S5,896

AK-475,234

AWP2,991

M4A4 / M4A1-S2,741

Negev1,352

P901,084

Desert Eagle822

Glock-18815

M249560

Knife546

Lifetime map wins

4,505dust2

828nuke

674office

436inferno

229vertigo

105italy

70dust

51train

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

Skill profile

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

22.5%Headshot accuracy

41.2%Accuracy (enemy spotted)

39.3%Spray accuracy

90.2%Counter-strafing

9.2°Preaim

511msReaction time

29.7%T opening success

58.0%CT opening success

0.46Enemies flashed / flash

11.7%Flash assists

5.03HE damage / grenade

2.93Flashes / 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 0.4616 — 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 29.7027% — below the 40% mark we flag

Recent matches

Map	Score	Rating	HS%	Date
mirage	6–13	0.02	31%	2 Oct →
nuke	13–1	0.05	33%	2 Oct →
office	13–11	0.05	33%	2 Oct →
inferno	13–5	0.09	23%	1 Oct →
ancient	13–11	-0.04	9%	1 Oct →
office	13–3	0.09	39%	30 Sept →
anubis	5–13	-0.02	19%	30 Sept →
mirage	13–9	0.05	16%	29 Sept →
nuke	13–2	0.01	17%	29 Sept →
mirage	13–9	-0.00	26%	29 Sept →
nuke	13–9	0.03	18%	29 Sept →
ancient	13–4	0.06	18%	9 Sept →
ancient	13–7	0.10	20%	9 Sept →
office	13–11	-0.00	21%	7 Sept →
mirage	13–5	0.20	25%	7 Sept →
office	13–8	0.00	25%	4 Sept →
nuke	12–12	0.02	21%	4 Sept →
italy	2–13	0.06	14%	30 Aug →
office	13–9	0.17	28%	26 Aug →
office	13–6	0.13	38%	26 Aug →
office	13–3	0.26	14%	26 Aug →
nuke	8–13	0.05	14%	24 Aug →
vertigo	13–5	0.05	27%	24 Aug →
nuke	2–13	0.15	18%	24 Aug →
office	5–13	-0.09	33%	22 Aug →
nuke	12–12	0.16	15%	20 Aug →
overpass	10–13	0.10	14%	20 Aug →
cache	8–13	0.02	14%	20 Aug →
ancient	12–12	0.15	33%	20 Aug →
cache	13–2	0.18	17%	20 Aug →
nuke	13–7	-0.02	26%	19 Aug →
nuke	13–5	0.16	17%	16 Aug →
nuke	13–6	0.12	22%	16 Aug →
nuke	13–8	0.12	23%	16 Aug →
office	11–13	0.01	20%	13 Aug →
office	6–6	0.12	35%	10 Aug →
vertigo	13–10	0.07	14%	10 Aug →
office	13–2	0.22	22%	10 Aug →
nuke	13–6	0.03	22%	10 Aug →
overpass	13–2	0.10	26%	9 Aug →
nuke	13–10	0.10	21%	9 Aug →
office	13–11	0.06	20%	9 Aug →
cache	7–13	-0.02	33%	8 Aug →
cache	13–4	0.08	14%	8 Aug →
office	13–7	-0.04	33%	8 Aug →
vertigo	13–2	0.14	16%	8 Aug →
nuke	13–9	-0.03	20%	7 Aug →
nuke	13–10	0.19	16%	6 Aug →
office	13–2	0.21	23%	1 Aug →
anubis	12–12	0.02	17%	30 Jul →
office	13–10	0.14	16%	30 Jul →
office	7–0	0.14	25%	30 Jul →
mirage	4–13	0.07	17%	30 Jul →
nuke	11–13	0.07	15%	28 Jul →
nuke	13–0	0.03	25%	28 Jul →
office	3–0	-0.02	20%	28 Jul →
office	12–12	0.03	17%	28 Jul →
office	13–0	0.26	27%	28 Jul →
nuke	13–2	0.14	33%	28 Jul →
ancient	6–13	0.04	12%	26 Jul →
cache	13–5	0.10	20%	25 Jul →
overpass	13–4	0.07	24%	24 Jul →
nuke	13–6	0.07	14%	24 Jul →
office	13–6	0.15	24%	24 Jul →
office	13–4	0.31	17%	24 Jul →
office	13–6	0.03	18%	22 Jul →
mirage	13–8	0.12	22%	22 Jul →
vertigo	13–2	0.08	16%	22 Jul →
office	2–13	0.01	13%	21 Jul →
boulder	13–1	0.11	20%	21 Jul →
nuke	11–13	0.10	27%	21 Jul →
overpass	13–11	0.03	13%	21 Jul →
office	13–2	0.12	21%	21 Jul →
office	13–3	0.10	29%	21 Jul →
nuke	13–3	0.26	29%	21 Jul →
cache	4–13	0.01	21%	20 Jul →
dust2	13–10	-0.01	18%	20 Jul →
office	11–13	0.10	27%	19 Jul →
nuke	13–10	0.12	11%	19 Jul →
nuke	13–8	0.08	23%	18 Jul →
nuke	13–4	0.14	23%	18 Jul →
shelter	13–7	0.06	20%	17 Jul →
ancient	13–5	-0.03	35%	16 Jul →
nuke	13–10	-0.01	16%	14 Jul →
cache	13–5	0.05	26%	14 Jul →
inferno	13–4	0.15	27%	14 Jul →
nuke	8–13	0.06	25%	12 Jul →
office	8–13	0.02	23%	12 Jul →
vertigo	10–13	0.17	29%	12 Jul →
office	8–13	0.09	40%	12 Jul →
train	13–9	0.07	23%	12 Jul →
office	4–11	0.05	42%	12 Jul →
anubis	9–13	0.02	24%	12 Jul →
shelter	11–13	0.03	24%	11 Jul →
italy	13–2	0.09	18%	11 Jul →
nuke	13–8	0.07	35%	11 Jul →
office	13–8	-0.00	21%	11 Jul →
nuke	13–5	0.03	30%	11 Jul →
nuke	13–6	0.02	26%	11 Jul →
office	13–6	0.05	50%	11 Jul →