lasso

lasso — CS2 Stats

FI76561198000483682[U:1:40217954]Steam profile ↗✓ No bans

574Tracked matches48%Win rate2020Tracked since
CSDB Rating5.5 SolidSupport
CSDB Leaderboard#89757 of 251364 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 19,480 +9,989 15 Jun – 3 Jun · 21 days played
9,49122,389peak 22,38915 Jun3 Jun
22,389Peak Premier in tracked matches
52Days played since 2023-03-22

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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CSDB.GGlassoFACEITLevel 10STANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim54
Positioning63
Utility68

0–100 skill scores via Leetify.

Recent form

STEADY50–48–2Last 10050%Win rateLWWLWLLWWW

Last 10 vs previous 10: +10pp win rate · −0.06 avg rating · −0.9pp headshot accuracy · +153ms reaction

Win rate +10pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 698ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 678ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 602ms

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: Support — Utility contribution stands above the rest of this profile (+1 against its own average).

Aim5.4
Utility6.8
Positioning6.3
Opening Duels4.3

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

donk

Plays most like donk 69% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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 54% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 592ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim5.4
Positioning6.3
Utility6.8
Mechanics5.0
Opening Duels4.0
Win Impact4.4

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 rating0.03+0.02
first ⅓ avg 0.00 → last ⅓ avg 0.03
Reaction time582ms+29ms
first ⅓ avg 553ms → last ⅓ avg 582ms
Headshot accuracy19.3%+2.6%
first ⅓ avg 16.7% → last ⅓ avg 19.3%

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

0.17Best match rating · 13–6 · overpass, 20 May →
71%Best headshot accuracy · 7–1 · mirage, 12 Sept →
359msFastest reaction time · 5–0 · cache, 7 Aug →
13–0Biggest win · dust2, 31 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
6–7In matches decided by ≤2 rounds
30Overtime games

Map breakdown

cacheBest map · 80% over 5mirageWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
ancientA2112–957%0.00
dust2B189–950%0.01
nukeA138–562%0.03
mirageD124–833%-0.01
infernoA106–460%0.03
anubisD93–633%0.06
overpassD93–633%0.01
cacheS54–180%0.02
vertigo—31–233%0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 12). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,577Matches
54%Win rate
1.48Avg K/D
—ADR
38%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
9Longest win streak

Recent Faceit resultsLWWLW

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.

18.7%Headshot accuracy
30.1%Accuracy (enemy spotted)
32.2%Spray accuracy
72.4%Counter-strafing
9.9°Preaim
592msReaction time
38.3%T opening success
53.9%CT opening success
0.57Enemies flashed / flash
12.5%Flash assists
9.26HE damage / grenade
10.04Flashes / 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.

  1. 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 38.2792% — below the 40% mark we flag

Spend your practice time on Mirage

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

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage7–130.0122%7 Aug →
cache13–8-0.0510%7 Aug →
cache5–00.059%7 Aug →
anubis4–13-0.025%31 Jul →
dust213–0-0.0224%31 Jul →
mirage0–13-0.1020%31 Jul →
dust24–13-0.0625%31 Jul →
cache13–100.0322%9 Jul →
cache13–110.0516%5 Jul →
ancient13–9-0.0019%3 Jun →
vertigo5–130.0217%3 Jun →
mirage13–10-0.0018%3 Jun →
dust213–11-0.0526%3 Jun →
overpass13–60.1713%20 May →
anubis6–130.0418%20 May →
dust25–13-0.0126%20 May →
ancient13–30.1019%20 May →
nuke1–50.0617%13 May →
overpass13–100.047%9 May →
ancient10–130.0420%9 May →
cache5–130.0424%9 May →
mirage3–13-0.0338%25 Mar →
ancient3–130.0512%25 Mar →
mirage0–130.0324%24 Mar →
ancient8–13-0.0118%11 Feb →
anubis8–13-0.0120%9 Feb →
overpass13–60.0917%9 Feb →
dust213–100.0224%5 Feb →
nuke13–80.0118%5 Feb →
anubis12–120.1614%5 Feb →
anubis13–80.0923%5 Feb →
anubis10–130.1531%5 Feb →
dust22–13-0.0523%27 Jan →
dust213–00.0223%27 Jan →
dust210–30.0427%14 Jan →
ancient13–40.0313%13 Jan →
vertigo13–100.1022%17 Dec →
nuke11–130.0525%17 Dec →
anubis13–60.1321%16 Dec →
mirage13–60.0832%10 Dec →
dust20–13-0.070%4 Dec →
mirage13–30.0012%4 Dec →
nuke13–90.0521%1 Dec →
inferno7–130.0016%1 Dec →
ancient12–20.0611%27 Nov →
mirage11–13-0.0018%13 Nov →
dust28–130.0430%13 Nov →
mirage9–13-0.0821%30 Oct →
inferno13–100.0118%21 Oct →
nuke14–160.0317%21 Oct →
overpass1–130.0029%21 Oct →
dust26–13-0.0324%21 Oct →
inferno13–60.0528%21 Oct →
ancient13–90.0113%27 Sept →
overpass7–13-0.1319%27 Sept →
nuke13–90.0031%27 Sept →
ancient2–8-0.0750%27 Sept →
mirage7–1-0.0171%12 Sept →
overpass3–13-0.0526%12 Sept →
dust213–80.0417%11 Sept →
ancient13–3-0.0018%7 Sept →
mirage6–13-0.0321%7 Sept →
dust213–60.1117%6 Sept →
mirage15–150.0021%27 Aug →
dust213–90.0523%26 Aug →
inferno13–40.1527%15 Aug →
ancient12–2-0.0325%29 Jun →
anubis6–130.0320%26 Jun →
nuke13–20.0820%21 Jun →
dust213–110.0718%15 Jun →
dust211–130.0525%5 Jun →
dust27–13-0.0525%3 Jun →
nuke25–23-0.0314%24 Apr →
inferno18–220.008%21 Apr →
nuke16–40.0720%20 Apr →
ancient16–12-0.0211%20 Apr →
inferno16–190.0013%18 Apr →
ancient7–160.0222%11 Apr →
overpass14–16-0.0111%11 Apr →
inferno8–16-0.0115%11 Apr →
inferno16–9-0.0118%6 Apr →
nuke16–100.0125%6 Apr →
ancient11–16-0.0118%5 Apr →
overpass4–16-0.0312%5 Apr →
ancient16–60.0222%5 Apr →
ancient14–16-0.0418%5 Apr →
ancient6–16-0.0218%30 Mar →
inferno16–80.0519%30 Mar →
nuke22–200.0519%28 Mar →
inferno16–80.0317%28 Mar →
ancient11–16-0.0319%27 Mar →
vertigo8–16-0.0410%27 Mar →
ancient16–12-0.0511%25 Mar →
ancient16–12-0.0115%25 Mar →
dust26–160.0425%25 Mar →
anubis16–14-0.0415%25 Mar →
overpass9–16-0.0114%25 Mar →
nuke6–16-0.0411%24 Mar →
ancient16–90.018%22 Mar →
nuke14–160.0417%22 Mar →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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