lasso — CS2 Stats

76561197988670607[U:1:28404879]Steam profile ↗✓ No bans

3,626Tracked matches46%Win rate2020Tracked since

CSDB Rating5.9 SolidHybrid Rifler

Premier CS Rating21,968Top 50% of 29,473 CSDB-tracked playersPink band · top ~6.3% of ranked players (population est.)

CSDB Leaderboard#11127 of 39342 tracked

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

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Performance scores

Aim65

Positioning59

Utility67

0–100 skill scores via Leetify.

Recent form

STEADY43–51–6Last 10043%Win rateLLWWLWWLLL

Last 10 vs previous 10: +0pp win rate · +0.03 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.5

Aggression7.9

Utility6.7

Positioning5.9

Opening Duels3.9

Clutch2.0

Strong 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 b1t 90% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

Where you differ: 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

Strengths

CT openings. 60% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 60% on CT to 31% 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

Aim6.5

Positioning5.9

Utility6.7

Mechanics5.6

Opening Duels3.9

Win Impact3.8

Composite 5.9/10 (Solid), 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 rating-0.00+0.02

first ⅓ avg -0.02 → last ⅓ avg -0.00

Reaction time551ms−33ms

first ⅓ avg 584ms → last ⅓ avg 551ms

Headshot accuracy14.5%+0.0%

first ⅓ avg 14.5% → last ⅓ avg 14.5%

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

0.11Best rating — cache 13–5

13–2Biggest win — vertigo

3Longest win streak

L2Current streak

5–10In matches decided by ≤2 rounds

11Overtime games

Map breakdown

nukeBest map · 52% over 21ancientWeakest map · 30% over 23

Map	Grade	Played	Record	Win rate	Avg rating
ancient	D	23	7–16	30%	-0.02
nuke	B	21	11–10	52%	-0.00
anubis	C	18	8–10	44%	-0.01
inferno	B	13	6–7	46%	-0.01
cache	B	13	6–7	46%	0.01
overpass	C	8	3–5	38%	-0.02
dust2	—	2	0–2	0%	-0.03
mirage	—	1	1–0	100%	-0.03
vertigo	—	1	1–0	100%	-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (30% over 23). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,962Matches

50%Win rate

0.91Avg K/D

78.4ADR

37%Headshot %

Clutches & streaks

30%1v1 clutch win

16%1v2 clutch win

10Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	131	52%	0.89	13.8
Nuke	129	57%	1.00	15.1
Ancient	95	55%	0.95	15.3
Mirage	58	47%	0.84	12.9
Dust2	51	53%	0.92	13.6
Overpass	47	57%	1.05	16.6
Vertigo	27	44%	0.78	12.3
Inferno	26	42%	0.75	13.2

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.

14.6%Headshot accuracy

35.9%Accuracy (enemy spotted)

34.8%Spray accuracy

75.3%Counter-strafing

10.0°Preaim

549msReaction time

30.8%T opening success

60.1%CT opening success

0.61Enemies flashed / flash

8.2%Flash assists

11.07HE damage / grenade

11.30Flashes / 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 14.6315% — below the 15% mark we flag
Aim Training →
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 30.7871% — 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.

30% win rate across 23 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
ancient	8–13	0.00	16%	22 Aug →
inferno	14–16	0.00	14%	22 Aug →
cache	13–10	-0.00	19%	22 Aug →
nuke	13–10	-0.03	16%	21 Aug →
ancient	10–13	-0.03	11%	21 Aug →
nuke	13–11	0.05	14%	20 Aug →
anubis	13–8	0.10	17%	20 Aug →
nuke	8–13	-0.02	27%	18 Aug →
ancient	5–13	0.01	5%	9 Aug →
anubis	2–13	-0.02	13%	9 Aug →
ancient	13–7	0.03	13%	9 Aug →
inferno	13–9	-0.03	15%	8 Aug →
anubis	4–13	-0.05	7%	2 Aug →
ancient	15–15	-0.05	10%	2 Aug →
anubis	13–6	-0.02	12%	2 Aug →
ancient	4–13	-0.05	9%	31 Jul →
ancient	3–13	0.02	11%	31 Jul →
cache	13–8	-0.04	18%	30 Jul →
anubis	3–6	-0.04	33%	30 Jul →
ancient	7–13	-0.04	20%	30 Jul →
inferno	13–10	-0.02	9%	26 Jul →
anubis	11–13	-0.03	11%	26 Jul →
nuke	13–4	0.00	24%	26 Jul →
nuke	13–10	0.03	16%	25 Jul →
cache	13–9	0.02	11%	25 Jul →
nuke	11–13	-0.00	15%	25 Jul →
inferno	15–15	0.01	16%	25 Jul →
ancient	6–13	0.02	19%	25 Jul →
anubis	13–10	0.04	22%	25 Jul →
anubis	7–13	-0.06	6%	24 Jul →
cache	13–5	0.11	18%	24 Jul →
cache	11–13	-0.02	4%	23 Jul →
ancient	16–14	-0.04	9%	23 Jul →
anubis	13–7	0.03	9%	23 Jul →
inferno	13–8	-0.03	13%	22 Jul →
ancient	2–13	-0.14	0%	22 Jul →
ancient	11–13	-0.05	14%	22 Jul →
cache	15–15	0.08	16%	21 Jul →
anubis	10–13	0.00	10%	21 Jul →
cache	12–16	0.05	17%	21 Jul →
anubis	9–13	-0.05	8%	18 Jul →
cache	8–13	-0.03	5%	18 Jul →
inferno	15–15	0.04	20%	18 Jul →
cache	11–13	0.00	23%	15 Jul →
cache	13–5	0.10	10%	15 Jul →
inferno	13–6	-0.00	14%	15 Jul →
nuke	13–3	0.09	23%	13 Jul →
nuke	11–13	-0.06	17%	13 Jul →
anubis	9–13	-0.06	5%	9 Jul →
nuke	13–5	0.02	14%	9 Jul →
ancient	13–10	-0.03	22%	9 Jul →
cache	13–3	0.02	15%	9 Jul →
anubis	6–13	-0.04	17%	9 Jul →
nuke	13–7	0.03	28%	6 Jul →
overpass	13–11	-0.01	17%	6 Jul →
nuke	1–13	-0.08	0%	6 Jul →
ancient	8–13	-0.01	15%	5 Jul →
nuke	13–9	-0.01	13%	5 Jul →
overpass	6–13	-0.05	7%	5 Jul →
overpass	8–13	-0.05	9%	3 Jul →
overpass	8–13	0.01	13%	25 Jun →
mirage	13–9	-0.03	14%	24 Jun →
nuke	6–13	-0.09	19%	21 Jun →
nuke	16–14	-0.01	14%	21 Jun →
inferno	16–13	0.01	17%	17 Jun →
anubis	13–5	0.02	10%	17 Jun →
ancient	2–13	-0.01	20%	16 Jun →
inferno	5–13	-0.02	11%	16 Jun →
nuke	4–13	-0.05	11%	16 Jun →
nuke	9–13	-0.01	8%	16 Jun →
dust2	6–13	-0.05	22%	16 Jun →
ancient	3–13	-0.10	10%	13 Jun →
inferno	13–9	-0.01	16%	13 Jun →
anubis	10–13	-0.03	9%	13 Jun →
ancient	13–4	0.05	28%	13 Jun →
ancient	10–13	0.04	10%	13 Jun →
nuke	10–13	-0.04	17%	13 Jun →
anubis	13–8	0.00	18%	13 Jun →
ancient	13–5	-0.02	8%	11 Jun →
overpass	13–10	-0.03	10%	9 Jun →
nuke	7–13	-0.03	20%	9 Jun →
overpass	11–13	-0.00	9%	8 Jun →
overpass	14–16	-0.04	5%	8 Jun →
ancient	6–13	-0.08	25%	8 Jun →
anubis	13–4	0.05	18%	7 Jun →
nuke	13–4	0.09	29%	3 Jun →
nuke	13–10	0.06	18%	3 Jun →
nuke	9–13	0.05	18%	3 Jun →
anubis	16–12	-0.06	11%	2 Jun →
overpass	13–9	-0.01	16%	2 Jun →
inferno	3–13	-0.06	0%	2 Jun →
ancient	10–13	-0.07	12%	2 Jun →
vertigo	13–2	-0.04	10%	31 May →
inferno	9–13	-0.03	16%	31 May →
inferno	1–13	-0.01	22%	31 May →
ancient	13–6	-0.02	14%	10 May →
cache	12–12	-0.07	9%	9 May →
cache	12–12	-0.05	22%	9 May →
ancient	13–11	0.00	18%	9 May →
dust2	11–13	-0.01	11%	8 May →