Smashturbator — CS2 Stats

US76561197970528710[U:1:10262982]Steam profile ↗✓ No bans

2,558Tracked matches48%Win rate2020Tracked since

CSDB Rating4.2 Developing

Premier CS Rating16,353Purple band · top ~23% of ranked players (population est.)

CSDB Leaderboard#10739 of 17849 tracked

FaceitLevel 5 · 1,046 ELOTop 67.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim55

Positioning37

Utility38

0–100 skill scores via Leetify.

Recent form

STEADY54–45–1Last 10054%Win rateLWLLWWLLWW

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

Player DNA

Aim5.5

Aggression3.0

Utility3.8

Positioning3.7

Opening Duels0.0

Clutch3.8

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 75% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

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

T-side openings. Opening success drops from 42% on CT to 15% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 617ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim5.5

Positioning3.7

Utility3.8

Mechanics4.2

Opening Duels1.5

Win Impact4.4

Composite 4.2/10 (Developing), 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 rating-0.01−0.01

first ⅓ avg -0.00 → last ⅓ avg -0.01

Reaction time619ms−42ms

first ⅓ avg 661ms → last ⅓ avg 619ms

Headshot accuracy11.6%−1.2%

first ⅓ avg 12.8% → last ⅓ avg 11.6%

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

0.17Best rating — dust2 13–2

13–2Biggest win — dust2

4Longest win streak

9–3In matches decided by ≤2 rounds

7Overtime games

Map breakdown

cacheBest map · 62% over 13infernoWeakest map · 46% over 13

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	30	17–13	57%	0.01
mirage	B	14	7–7	50%	-0.01
inferno	B	13	6–7	46%	-0.00
cache	A	13	8–5	62%	0.01
anubis	B	13	7–6	54%	-0.01
ancient	A	10	6–4	60%	-0.03
nuke	A	5	3–2	60%	-0.00
vertigo	—	2	0–2	0%	0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (46% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

224Matches

49%Win rate

0.93Avg K/D

75.2ADR

38%Headshot %

Clutches & streaks

39%1v1 clutch win

25%1v2 clutch win

5Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	43	51%	1.00	15.1
Mirage	35	54%	0.99	14.2
Inferno	21	33%	0.84	12.6
Anubis	16	44%	0.96	16.6
Ancient	16	62%	0.96	15.4
Nuke	8	12%	0.80	13.9
Cache	8	50%	0.82	12.6
Vertigo	6	50%	0.73	12.3

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.

11.6%Headshot accuracy

35.1%Accuracy (enemy spotted)

40.5%Spray accuracy

69.0%Counter-strafing

9.4°Preaim

617msReaction time

15.0%T opening success

41.8%CT opening success

0.60Enemies flashed / flash

2.9%Flash assists

9.88HE damage / grenade

2.86Flashes / 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 11.6044% — below the 15% mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.8604 — below the 4 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 14.9754% — 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.

46% win rate across 13 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
inferno	10–13	-0.01	18%	28 Aug →
cache	7–2	-0.07	5%	28 Aug →
mirage	3–13	-0.09	17%	28 Aug →
inferno	9–13	-0.03	23%	28 Aug →
ancient	13–10	-0.01	12%	28 Aug →
cache	13–5	-0.04	11%	28 Aug →
mirage	9–13	-0.07	9%	27 Aug →
dust2	8–13	0.12	10%	27 Aug →
mirage	13–7	0.00	10%	27 Aug →
dust2	13–9	-0.02	18%	27 Aug →
dust2	13–2	0.17	10%	27 Aug →
anubis	3–13	-0.08	21%	27 Aug →
dust2	13–10	-0.01	18%	27 Aug →
ancient	9–13	-0.06	11%	26 Aug →
anubis	13–8	-0.03	9%	26 Aug →
mirage	4–13	-0.04	10%	26 Aug →
nuke	15–15	0.03	8%	26 Aug →
cache	8–13	-0.06	3%	26 Aug →
anubis	4–13	-0.14	6%	25 Aug →
cache	8–13	0.06	8%	25 Aug →
dust2	13–7	-0.02	9%	25 Aug →
dust2	5–13	-0.02	9%	25 Aug →
cache	13–4	0.10	11%	25 Aug →
dust2	13–6	0.07	10%	24 Aug →
cache	10–13	-0.01	6%	24 Aug →
dust2	12–16	-0.01	12%	24 Aug →
mirage	6–13	-0.02	13%	24 Aug →
inferno	13–7	0.01	10%	24 Aug →
dust2	13–11	-0.02	16%	24 Aug →
dust2	13–10	-0.01	14%	24 Aug →
dust2	13–5	0.03	20%	24 Aug →
ancient	5–13	-0.06	5%	24 Aug →
ancient	13–10	0.01	11%	24 Aug →
dust2	11–13	-0.03	7%	23 Aug →
anubis	13–6	0.03	18%	23 Aug →
cache	13–11	0.01	13%	23 Aug →
inferno	13–7	0.01	20%	23 Aug →
inferno	8–13	-0.07	10%	22 Aug →
anubis	13–7	0.11	11%	22 Aug →
ancient	16–13	-0.07	10%	22 Aug →
mirage	8–13	0.02	10%	22 Aug →
mirage	4–13	0.02	6%	22 Aug →
dust2	13–2	0.01	13%	21 Aug →
inferno	13–2	-0.02	15%	21 Aug →
ancient	13–6	-0.04	5%	21 Aug →
anubis	2–13	-0.04	15%	21 Aug →
nuke	13–5	-0.01	21%	21 Aug →
ancient	6–13	-0.00	6%	20 Aug →
mirage	13–11	-0.03	15%	20 Aug →
ancient	13–10	0.01	6%	20 Aug →
mirage	13–9	0.11	12%	18 Aug →
anubis	13–11	0.02	8%	16 Aug →
dust2	14–16	-0.04	11%	16 Aug →
cache	16–12	0.02	8%	16 Aug →
cache	13–3	0.05	9%	16 Aug →
mirage	13–11	0.01	10%	16 Aug →
anubis	4–13	-0.04	0%	16 Aug →
anubis	11–13	0.03	8%	15 Aug →
dust2	5–13	0.03	11%	14 Aug →
mirage	13–6	0.07	11%	14 Aug →
ancient	13–6	-0.00	10%	14 Aug →
inferno	7–13	-0.01	11%	13 Aug →
nuke	13–11	-0.00	16%	13 Aug →
mirage	16–14	-0.03	16%	12 Aug →
cache	6–13	-0.00	17%	12 Aug →
inferno	8–13	-0.03	19%	12 Aug →
dust2	6–13	-0.00	9%	12 Aug →
dust2	13–9	0.02	21%	11 Aug →
inferno	13–10	-0.01	14%	11 Aug →
dust2	9–13	-0.01	12%	11 Aug →
nuke	7–13	-0.07	10%	10 Aug →
vertigo	7–13	-0.03	21%	10 Aug →
mirage	6–13	-0.06	17%	10 Aug →
dust2	13–10	0.01	12%	10 Aug →
dust2	7–13	0.01	9%	8 Aug →
vertigo	8–13	0.04	6%	8 Aug →
dust2	9–13	0.02	10%	8 Aug →
inferno	9–13	-0.01	17%	8 Aug →
dust2	13–10	0.05	13%	8 Aug →
dust2	4–13	-0.06	13%	7 Aug →
cache	13–7	0.05	8%	6 Aug →
anubis	13–8	-0.03	23%	6 Aug →
anubis	6–13	-0.06	13%	6 Aug →
dust2	13–9	-0.04	17%	6 Aug →
inferno	13–6	0.06	14%	6 Aug →
dust2	13–8	-0.02	4%	6 Aug →
anubis	13–10	0.05	10%	6 Aug →
cache	6–13	-0.06	8%	5 Aug →
nuke	13–2	0.03	8%	5 Aug →
cache	16–12	0.03	12%	5 Aug →
ancient	8–13	-0.07	8%	5 Aug →
dust2	13–11	-0.02	16%	5 Aug →
dust2	1–13	0.02	6%	5 Aug →
dust2	13–6	0.00	12%	5 Aug →
inferno	9–13	0.01	4%	4 Aug →
mirage	13–7	-0.04	12%	4 Aug →
dust2	13–5	0.04	15%	4 Aug →
anubis	13–11	0.02	16%	4 Aug →
dust2	8–13	0.04	24%	4 Aug →
inferno	13–9	0.10	15%	3 Aug →