Space Moth — CS2 Stats

76561198120991311[U:1:160725583]

701Tracked matches56%Win rate2021Tracked since

CSDB Rating5.5 SolidAggressive Rifler

Ladder ranks via Leetify

Performance scores

Aim75

Positioning56

Utility28

0–100 skill scores via Leetify.

Recent form

STEADY40–53–7Last 10040%Win rateWWWLLWTTTW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating

Player DNA

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

Aim7.5

Aggression7.7

Utility2.8

Positioning5.6

Opening Duels4.1

Clutch4.0

Limited 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 ropz 88% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution; 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim7.5

Positioning5.6

Utility2.8

Mechanics4.3

Opening Duels4.1

Win Impact7.0

Composite 5.5/10 (Solid), 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 rating0.02+0.02

first ⅓ avg -0.00 → last ⅓ avg 0.02

Reaction time511ms−42ms

first ⅓ avg 553ms → last ⅓ avg 511ms

Headshot accuracy12.2%+0.6%

first ⅓ avg 11.6% → last ⅓ avg 12.2%

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

0.22Best rating — cache 13–11

13–0Biggest win — mirage

4Longest win streak

W3Current streak

4–10In matches decided by ≤2 rounds

1Overtime games

Map breakdown

nukeBest map · 60% over 5ancientWeakest map · 11% over 9

Map	Grade	Played	Record	Win rate	Avg rating
cache	C	33	13–20	39%	0.00
dust2	C	18	7–11	39%	0.02
mirage	B	15	7–8	47%	0.01
anubis	B	11	5–6	45%	0.02
ancient	D	9	1–8	11%	-0.01
inferno	B	6	3–3	50%	-0.01
nuke	A	5	3–2	60%	0.02
train	—	2	0–2	0%	0.02
overpass	—	1	1–0	100%	0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2Matches

0%Win rate

1.32Avg K/D

90.8ADR

34%Headshot %

Clutches & streaks

40%1v1 clutch win

14%1v2 clutch win

0Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	1	0%	1.60	32.0
Mirage	1	0%	1.04	24.0

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.

12.4%Headshot accuracy

37.5%Accuracy (enemy spotted)

41.9%Spray accuracy

69.3%Counter-strafing

7.9°Preaim

510msReaction time

39.1%T opening success

54.0%CT opening success

0.31Enemies flashed / flash

4.9%Flash assists

9.33HE damage / grenade

2.95Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 12.3606% — below the 15% mark we flag
Aim Training →
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 0.307 — 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 39.1432% — below the 40% mark we flag

Spend your practice time on Ancient

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

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–10	-0.00	18%	27 Aug →
dust2	13–8	0.09	15%	26 Aug →
overpass	13–11	0.01	18%	26 Aug →
mirage	9–13	-0.02	6%	23 Aug →
cache	3–13	0.01	5%	23 Aug →
dust2	13–4	0.05	3%	23 Aug →
dust2	12–12	0.05	13%	22 Aug →
mirage	12–12	-0.01	7%	13 Aug →
ancient	12–12	-0.01	7%	8 Aug →
mirage	13–4	0.01	18%	7 Aug →
dust2	10–13	0.00	28%	7 Aug →
anubis	13–9	0.06	8%	7 Aug →
ancient	13–3	-0.05	3%	6 Aug →
cache	13–11	0.22	18%	6 Aug →
cache	8–13	-0.03	5%	6 Aug →
dust2	3–13	-0.07	14%	6 Aug →
dust2	2–13	-0.06	11%	2 Aug →
cache	6–13	0.02	11%	2 Aug →
ancient	9–13	-0.05	8%	2 Aug →
anubis	7–13	0.07	7%	2 Aug →
anubis	13–10	0.03	15%	28 Jul →
cache	13–11	0.02	16%	26 Jul →
dust2	13–6	0.06	16%	26 Jul →
anubis	13–5	-0.01	14%	26 Jul →
ancient	12–12	-0.03	16%	26 Jul →
ancient	12–12	0.08	2%	25 Jul →
anubis	3–0	0.05	0%	25 Jul →
cache	7–13	0.02	30%	25 Jul →
mirage	2–13	-0.10	16%	25 Jul →
mirage	13–6	-0.00	9%	24 Jul →
dust2	13–10	0.09	10%	24 Jul →
mirage	13–7	0.04	14%	24 Jul →
dust2	7–13	-0.02	23%	22 Jul →
cache	13–7	-0.03	9%	21 Jul →
train	12–12	-0.02	19%	21 Jul →
inferno	11–13	-0.02	10%	20 Jul →
anubis	13–2	0.07	8%	20 Jul →
cache	13–5	-0.01	15%	19 Jul →
nuke	13–10	0.08	10%	19 Jul →
nuke	3–13	-0.00	9%	19 Jul →
mirage	9–13	0.01	17%	19 Jul →
ancient	11–13	0.02	7%	19 Jul →
cache	10–13	0.05	8%	19 Jul →
dust2	3–13	0.02	8%	19 Jul →
anubis	6–13	-0.01	8%	18 Jul →
cache	13–6	0.02	11%	18 Jul →
mirage	1–13	0.03	12%	18 Jul →
mirage	13–0	0.19	8%	18 Jul →
dust2	13–2	-0.03	10%	18 Jul →
inferno	6–1	-0.13	0%	18 Jul →
mirage	13–8	-0.05	14%	18 Jul →
cache	7–13	0.01	11%	18 Jul →
anubis	12–12	-0.05	7%	18 Jul →
ancient	11–13	-0.03	15%	18 Jul →
train	5–13	0.06	10%	16 Jul →
dust2	4–13	0.10	2%	15 Jul →
anubis	6–13	0.01	9%	15 Jul →
cache	13–6	0.09	11%	15 Jul →
mirage	11–13	-0.04	4%	15 Jul →
ancient	11–13	-0.05	5%	15 Jul →
cache	2–13	-0.03	3%	14 Jul →
mirage	13–3	-0.03	10%	13 Jul →
cache	7–13	-0.04	2%	12 Jul →
cache	13–7	0.06	16%	12 Jul →
inferno	13–5	0.04	14%	12 Jul →
ancient	11–13	0.04	8%	12 Jul →
dust2	13–9	0.04	15%	12 Jul →
inferno	13–3	0.12	7%	12 Jul →
nuke	11–2	0.06	11%	12 Jul →
cache	10–13	-0.02	10%	12 Jul →
dust2	13–8	0.00	24%	11 Jul →
anubis	8–13	-0.01	8%	11 Jul →
mirage	7–13	-0.00	9%	11 Jul →
cache	13–2	0.01	11%	10 Jul →
mirage	11–13	0.12	13%	10 Jul →
nuke	8–13	-0.08	13%	10 Jul →
dust2	2–13	0.02	14%	6 Jul →
dust2	7–13	-0.05	15%	5 Jul →
cache	9–13	-0.07	4%	5 Jul →
cache	13–6	0.01	8%	5 Jul →
cache	4–13	-0.04	7%	4 Jul →
inferno	13–16	0.02	13%	4 Jul →
nuke	13–6	0.06	14%	4 Jul →
inferno	4–13	-0.08	0%	4 Jul →
cache	4–13	0.05	11%	4 Jul →
cache	11–13	-0.01	16%	3 Jul →
mirage	13–8	-0.02	14%	3 Jul →
cache	7–13	-0.06	10%	3 Jul →
cache	11–13	-0.05	6%	3 Jul →
dust2	8–13	0.11	16%	1 Jul →
cache	7–13	-0.01	8%	30 Jun →
anubis	5–13	0.01	24%	30 Jun →
cache	2–13	-0.10	16%	30 Jun →
cache	11–13	-0.06	13%	30 Jun →
cache	13–9	0.04	15%	29 Jun →
cache	13–10	-0.00	12%	29 Jun →
cache	10–13	-0.01	21%	27 Jun →
dust2	9–13	-0.03	10%	22 Jun →
cache	13–11	0.02	6%	22 Jun →
cache	8–13	-0.00	4%	18 Jun →