lassobot

lassobot — CS2 Stats

NO76561197982988098[U:1:22722370]Steam profile ↗✓ No bans

839Tracked matches63%Win rate2020Tracked since
CSDB Rating6.8 SolidSupport
CSDB Leaderboard#16050 of 242388 tracked
FaceitLevel 10 · 2,293 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 51 days played since 18 Dec 2023. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 25,518 +2,234 18 Dec – 15 Apr · 12 days played
17,50225,518peak 25,51818 Dec15 Apr
25,518Peak Premier in tracked matches
2,293Highest Faceit ELO seen on CSDB
51Days played since 2023-12-18

Faceit ELO

  • At peak — 2,293
  • Next: 2,500 ELO at 2,500 — 207 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7

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

Share this profile

CSDB.GGlassobotFACEITLevel 10 · 2,293 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,293csdb.gg/stats

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

Aim78
Positioning59
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY52–44–4Last 10052%Win rateLLLLWLWWWL

Last 10 vs previous 10: −40pp win rate · −0.01 avg rating · +2.3pp headshot accuracy · +48ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 694ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 621ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 597ms

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 (+1.3 against its own average).

Aim7.8
Utility6.3
Positioning5.9
Opening Duels4.2
Clutch3.8

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.

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

NiKo

Plays most like NiKo 91% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Areas to improve

T-side openings. Opening success drops from 60% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 580ms 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

Aim7.8
Positioning5.9
Utility6.3
Mechanics7.1
Opening Duels3.7
Win Impact9.4

Composite 6.8/10 (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+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time570ms−45ms
first ⅓ avg 614ms → last ⅓ avg 570ms
Headshot accuracy22.5%+1.6%
first ⅓ avg 20.8% → last ⅓ avg 22.5%

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.

Personal bests

0.21Best match rating · 13–2 · dust2, 31 Mar →
50%Best headshot accuracy · 13–2 · inferno, 17 Dec →
422msFastest reaction time · 8–13 · nuke, 6 May →
13–1Biggest win · mirage, 31 Mar →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L4Current streak
10–6In matches decided by ≤2 rounds
13Overtime games

Map breakdown

infernoBest map · 71% over 14nukeWeakest map · 25% over 16
MapGradePlayedRecordWin rateAvg rating
mirageS2114–767%0.02
ancientB179–853%0.00
nukeD164–1225%-0.02
infernoS1410–471%0.03
dust2A127–558%0.06
anubisC125–742%0.01
overpassC73–443%0.01
vertigo—10–10%0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (25% over 16). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,487Matches
53%Win rate
1.29Avg K/D
85.7ADR
49%Headshot %

Clutches & streaks

39%1v1 clutch win
24%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage7846%1.1216.3
Dust26555%1.3419.1
Ancient4953%1.2218.1
Nuke4757%1.3116.1
Anubis4154%1.3119.9
Inferno4065%1.3317.5
Overpass1250%1.1518.1
Train560%1.2917.4

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.

22.4%Headshot accuracy
33.6%Accuracy (enemy spotted)
36.9%Spray accuracy
82.0%Counter-strafing
9.0°Preaim
580msReaction time
25.0%T opening success
59.6%CT opening success
0.48Enemies flashed / flash
3.3%Flash assists
7.66HE damage / grenade
10.95Flashes / 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.

  1. 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 0.4841 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 25.0129% — below the 40% mark we flag

Spend your practice time on Nuke

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

25% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient8–13-0.0117%7 Oct →
dust213–160.0132%7 Oct →
nuke11–130.039%17 Sept →
inferno15–190.0320%16 Sept →
nuke13–11-0.0136%16 Sept →
inferno7–13-0.0117%15 Sept →
overpass13–8-0.0022%13 Sept →
nuke13–6-0.0114%13 Sept →
inferno13–50.0224%23 Aug →
inferno8–130.0028%18 Aug →
mirage13–50.0112%6 Jun →
dust219–170.0419%31 May →
nuke13–11-0.0316%31 May →
inferno16–140.0120%31 May →
ancient13–50.0512%30 May →
anubis13–70.0419%15 Apr →
dust213–70.0719%15 Apr →
dust29–130.0027%8 Apr →
mirage8–130.0125%8 Apr →
mirage5–1-0.0327%8 Apr →
nuke8–130.0132%7 Apr →
anubis13–30.0328%7 Apr →
ancient13–11-0.0120%6 Apr →
dust213–60.1022%6 Apr →
dust213–90.1521%5 Apr →
anubis9–130.0631%5 Apr →
inferno13–90.0216%5 Apr →
mirage13–60.0733%5 Apr →
dust28–130.0133%1 Apr →
dust213–110.0226%23 Mar →
mirage13–10-0.0325%22 Mar →
mirage13–10-0.0816%20 Mar →
dust213–50.0324%20 Mar →
inferno13–9-0.0123%13 Mar →
mirage13–100.0413%13 Mar →
ancient8–130.0416%4 Feb →
ancient6–13-0.0215%3 Feb →
anubis11–130.0316%28 Jan →
mirage8–130.0223%18 Jan →
anubis15–150.0223%11 Jan →
mirage14–16-0.0015%11 Jan →
dust28–130.0021%11 Jan →
nuke9–13-0.0332%11 Jan →
inferno13–20.0350%17 Dec →
mirage13–110.0622%17 Dec →
inferno13–50.1023%8 Oct →
dust29–130.0329%8 Oct →
mirage14–160.0326%8 Oct →
mirage10–13-0.0113%31 May →
inferno6–13-0.0320%21 May →
nuke8–130.0113%6 May →
ancient10–13-0.0216%29 Apr →
ancient16–140.0115%9 Apr →
mirage13–100.0428%8 Apr →
mirage13–100.0116%5 Apr →
dust213–20.2130%31 Mar →
inferno13–100.1315%31 Mar →
mirage13–10.1213%31 Mar →
overpass3–13-0.0919%6 Mar →
ancient13–80.0020%6 Mar →
nuke7–13-0.0427%6 Mar →
overpass9–13-0.0111%2 Mar →
ancient10–13-0.0123%1 Mar →
overpass13–10-0.0113%1 Mar →
mirage8–13-0.0330%1 Mar →
nuke13–9-0.0411%28 Feb →
ancient11–13-0.058%28 Feb →
overpass13–40.1326%26 Feb →
vertigo6–130.0115%26 Feb →
nuke11–130.0225%26 Feb →
ancient13–60.0325%25 Feb →
nuke4–13-0.0820%25 Feb →
nuke15–150.0221%18 Jan →
anubis9–13-0.0322%14 Jan →
nuke7–13-0.0714%2 Jan →
anubis7–13-0.0123%2 Jan →
mirage13–60.1421%2 Jan →
ancient3–13-0.0525%2 Jan →
anubis0–13-0.0722%27 Dec →
ancient6–00.0621%27 Dec →
inferno13–110.0717%26 Dec →
mirage15–150.0322%26 Dec →
anubis13–160.0119%25 Dec →
overpass7–13-0.0410%25 Dec →
nuke15–150.0525%25 Dec →
ancient13–100.0118%25 Dec →
mirage13–60.0833%25 Dec →
anubis13–70.0420%25 Dec →
mirage13–6-0.0122%24 Dec →
anubis13–10-0.0116%23 Dec →
ancient16–14-0.0414%23 Dec →
inferno13–70.0930%23 Dec →
nuke6–13-0.0712%23 Dec →
nuke8–13-0.0121%21 Dec →
ancient13–6-0.0017%21 Dec →
overpass10–130.0724%21 Dec →
ancient9–130.0216%21 Dec →
anubis13–10-0.0130%21 Dec →
inferno13–100.0024%18 Dec →
mirage13–100.0120%18 Dec →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →