Moiven — CS2 Stats

76561198150681923[U:1:190416195]Steam profile ↗✓ No bans

3,293Tracked matches63%Win rate2020Tracked since

CSDB Rating7.5 StrongAggressive Rifler

FaceitLevel 10 · 2,532 ELOTop 12.4% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim92

Positioning63

Utility60

0–100 skill scores via Leetify.

Recent form

STEADY54–46Last 10054%Win rateLWLWWWLLWW

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

Player DNA

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

Aim9.2

Aggression9.3

Utility6.0

Positioning6.3

Opening Duels4.6

Clutch4.2

Sharp aimerStrong 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 donk 96% playstyle similarity

Most alike: utility contribution, 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.

Areas to improve

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 38% 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

Positioning6.3

Utility6.0

Mechanics6.8

Opening Duels4.6

Win Impact9.4

Composite 7.5/10 (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+0.01

first ⅓ avg 0.00 → last ⅓ avg 0.01

Reaction time491ms−66ms

first ⅓ avg 556ms → last ⅓ avg 491ms

Headshot accuracy23.1%+0.7%

first ⅓ avg 22.4% → last ⅓ avg 23.1%

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

0.15Best rating — ancient 13–7

13–1Biggest win — mirage

7Longest win streak

12–14In matches decided by ≤2 rounds

20Overtime games

Map breakdown

anubisBest map · 70% over 10dust2Weakest map · 38% over 21

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	39	21–18	54%	0.02
dust2	C	21	8–13	38%	-0.01
ancient	A	18	11–7	61%	0.02
anubis	S	10	7–3	70%	-0.01
cache	A	5	3–2	60%	0.00
inferno	—	4	1–3	25%	-0.04
nuke	—	2	2–0	100%	0.02
overpass	—	1	1–0	100%	0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 21). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4,623Matches

51%Win rate

1.09Avg K/D

81.9ADR

52%Headshot %

Clutches & streaks

41%1v1 clutch win

22%1v2 clutch win

13Longest win streak

Recent Faceit resultsWWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	938	53%	1.11	17.4
Dust2	517	50%	1.08	16.9
Ancient	365	56%	1.06	16.9
Anubis	203	45%	0.99	15.8
Inferno	158	43%	1.01	16.8
Nuke	79	42%	1.03	16.9
Train	45	67%	1.14	17.7
Overpass	39	41%	0.98	16.7

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.

23.2%Headshot accuracy

38.5%Accuracy (enemy spotted)

43.1%Spray accuracy

80.5%Counter-strafing

8.0°Preaim

479msReaction time

38.2%T opening success

58.4%CT opening success

0.64Enemies flashed / flash

14.5%Flash assists

6.92HE damage / grenade

8.08Flashes / 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 38.1965% — below the 40% mark we flag

Spend your practice time on Dust 2

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

38% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	11–13	-0.04	25%	28 Aug →
dust2	13–7	-0.03	14%	27 Aug →
mirage	8–13	-0.03	32%	27 Aug →
dust2	13–11	0.03	31%	27 Aug →
nuke	13–11	0.10	29%	27 Aug →
cache	13–2	0.04	22%	27 Aug →
mirage	9–13	-0.04	35%	27 Aug →
anubis	10–13	0.02	19%	27 Aug →
mirage	13–6	0.06	22%	27 Aug →
mirage	13–11	0.00	19%	27 Aug →
mirage	13–8	-0.04	20%	26 Aug →
cache	13–5	0.04	36%	26 Aug →
anubis	13–10	0.04	25%	26 Aug →
mirage	19–15	0.06	9%	25 Aug →
dust2	16–14	0.01	28%	24 Aug →
mirage	20–22	-0.03	31%	21 Aug →
anubis	16–14	-0.00	26%	21 Aug →
cache	17–19	-0.01	21%	20 Aug →
ancient	13–7	0.15	20%	14 Aug →
dust2	9–13	0.04	25%	14 Aug →
dust2	16–19	-0.02	10%	14 Aug →
dust2	13–6	0.06	14%	13 Aug →
anubis	7–13	-0.02	12%	10 Aug →
mirage	4–13	0.04	22%	9 Aug →
ancient	13–16	0.03	24%	8 Aug →
ancient	16–12	0.05	32%	8 Aug →
ancient	13–9	0.01	16%	6 Aug →
inferno	16–12	-0.05	16%	3 Aug →
ancient	13–10	-0.04	20%	2 Aug →
anubis	13–8	0.03	48%	2 Aug →
mirage	13–16	-0.01	19%	1 Aug →
mirage	14–16	-0.01	12%	27 Jul →
dust2	11–13	0.00	29%	27 Jul →
mirage	13–9	-0.04	31%	26 Jul →
nuke	13–8	-0.07	24%	26 Jul →
mirage	13–6	0.09	28%	22 Jul →
mirage	13–7	0.04	13%	9 Jul →
ancient	13–3	0.04	19%	9 Jul →
mirage	13–11	-0.01	21%	7 Jul →
anubis	13–2	0.06	24%	28 Jun →
dust2	10–13	-0.03	20%	27 Jun →
mirage	7–13	0.06	14%	27 Jun →
mirage	13–9	0.05	14%	24 Jun →
ancient	6–13	0.01	13%	12 Jun →
inferno	7–13	-0.05	22%	12 Jun →
inferno	10–13	-0.02	16%	10 Jun →
mirage	13–6	-0.03	13%	8 Jun →
ancient	13–9	0.07	17%	7 Jun →
ancient	20–22	-0.02	16%	7 Jun →
inferno	10–13	-0.05	11%	7 Jun →
dust2	13–4	0.07	18%	6 Jun →
mirage	13–4	0.04	32%	6 Jun →
dust2	11–13	-0.03	35%	6 Jun →
anubis	19–16	-0.04	19%	6 Jun →
dust2	6–13	-0.06	25%	5 Jun →
dust2	13–7	-0.08	8%	1 Jun →
dust2	8–13	0.01	15%	31 May →
mirage	13–10	0.04	28%	31 May →
ancient	8–13	-0.01	21%	28 May →
ancient	10–13	-0.05	26%	26 May →
mirage	11–13	0.04	19%	24 May →
mirage	8–13	-0.05	28%	24 May →
dust2	6–13	-0.07	18%	24 May →
mirage	13–9	0.02	20%	24 May →
dust2	13–11	-0.06	27%	22 May →
mirage	7–13	0.03	20%	22 May →
mirage	13–1	0.10	58%	21 May →
mirage	13–10	-0.00	24%	21 May →
mirage	9–13	0.03	27%	21 May →
dust2	17–19	0.02	13%	20 May →
mirage	8–13	-0.03	26%	20 May →
ancient	11–13	0.04	25%	20 May →
mirage	13–8	0.06	22%	20 May →
dust2	10–13	-0.02	26%	19 May →
mirage	11–13	-0.06	13%	19 May →
mirage	25–23	0.05	17%	18 May →
mirage	19–17	0.02	24%	18 May →
cache	13–11	-0.02	13%	17 May →
dust2	5–13	-0.04	13%	17 May →
dust2	13–4	-0.03	33%	17 May →
mirage	13–10	0.11	20%	17 May →
cache	11–13	-0.03	25%	16 May →
anubis	6–0	0.01	60%	16 May →
mirage	11–13	-0.02	17%	15 May →
ancient	13–10	0.05	24%	13 May →
mirage	4–13	-0.02	14%	12 May →
mirage	13–11	0.05	18%	12 May →
ancient	13–8	0.08	22%	11 May →
dust2	12–16	-0.02	39%	11 May →
ancient	13–10	-0.02	24%	9 May →
ancient	16–13	0.05	11%	9 May →
mirage	13–9	0.05	22%	8 May →
overpass	16–14	0.02	13%	8 May →
anubis	1–13	-0.11	26%	2 May →
dust2	10–13	-0.05	22%	1 May →
anubis	13–8	-0.05	13%	29 Apr →
ancient	13–16	0.01	22%	24 Apr →
mirage	8–13	0.04	34%	23 Apr →
mirage	11–13	-0.00	17%	16 Apr →
ancient	13–4	-0.02	24%	10 Apr →