Twitch.tv/LootusNessu

Twitch.tv/LootusNessu — CS2 Stats

76561198884946142[U:1:924680414]Steam profile ↗✓ No bans

2,079Tracked matches62%Win rate2020Tracked since
3,406Hours in CS1Hrs last 2 wks
CSDB Rating6.8 SolidPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Sep 2026 (16 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 2,079 tracked matches. Play, then come back: the next observation lands here.

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. 60 days played since 12 Mar 2025. 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

60Days played since 2025-03-12

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim68
Positioning73
Utility54

0–100 skill scores via Leetify.

Recent form

HOT54451Last 10054%Win rateLWWLLWWWWW

Last 10 vs previous 10: +10pp win rate · −0.08 avg rating · +0.5pp headshot accuracy · +3ms 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

  • 23 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 30%
  • Avg reaction 591ms

Last 10

  • 73 · 70% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 25%
  • Avg reaction 642ms

Last 20

  • 137 · 65% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 24%
  • Avg reaction 641ms

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: Positional PlayerPositioning stands above the rest of this profile (+1.5 against its own average).

Aim6.8
Utility5.4
Positioning7.3
Opening Duels6.6
Clutch3.8

Effective flashes

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

m0NESY

Plays most like m0NESY 83% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

Flashes. 0.87 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 629ms 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

Aim6.8
Positioning7.3
Utility5.4
Mechanics6.7
Opening Duels5.7
Win Impact9.0

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+0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time602ms+47ms
first ⅓ avg 555ms → last ⅓ avg 602ms
Headshot accuracy26.5%+4.7%
first ⅓ avg 21.8% → last ⅓ avg 26.5%

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

0.31Best match rating · 13–3 · dust2, 7 Feb
55%Best headshot accuracy · 6–9 · dogtown, 7 Jul
234msFastest reaction time · 5–13 · train, 17 May
13–1Biggest win · ancient, 20 May

Across the last 100 tracked matches.

Highlights

12Longest win streak
67In matches decided by ≤2 rounds
8Overtime games

Map breakdown

mirageBest map · 71% over 21infernoWeakest map · 0% over 7
MapGradePlayedRecordWin rateAvg rating
mirageS2115671%0.01
nukeB21101148%0.05
dust2A106460%0.03
ancientS107370%0.02
trainC94544%-0.01
infernoD7070%-0.01
vertigoC52340%0.01
overpass31233%-0.05
italy330100%0.05
agency21150%0.16
dogtown21150%0.12
grail21150%0.09
brewery1010%-0.16
jura110100%0.16
office110100%0.18
whistle1010%-0.22
anubis110100%0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (0% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

89,031Lifetime kills
1.13K/D · Top 50% of tracked players
4,004Matches
49.2%Match win rate · Top 25% of tracked players
45.6%Headshot % · Top 50% of tracked players
10.6%Shot accuracy
14,314MVPs
2,216Hours (in match)
5,784Bombs planted
1,292Bombs defused

Most-used weapons

AK-4727,638
AWP14,283
Knife2,594
MP91,933
MAC-101,769
SSG 081,500

Lifetime map wins

4,714nuke
4,616inferno
3,486dust2
3,417vertigo
2,192train
432cbble
151lake
129italy

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

1,204Matches
53%Win rate
1.23Avg K/D
82.0ADR
50%Headshot %

Clutches & streaks

39%1v1 clutch win
23%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage32152%1.1616.1
Ancient20156%1.1515.9
Nuke14058%1.3217.5
Dust29648%1.1016.7
Anubis8952%1.2016.4
Vertigo6256%1.2214.9
Inferno5446%1.2217.2
Train5048%1.1417.3

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.

25.5%Headshot accuracy
32.3%Accuracy (enemy spotted)
33.5%Spray accuracy
80.2%Counter-strafing
10.2°Preaim
629msReaction time
55.9%T opening success
50.0%CT opening success
0.87Enemies flashed / flash
11.1%Flash assists
9.49HE damage / grenade
9.43Flashes / match

Recommended for you

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.

0% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno4–90.0250%25 Aug
mirage13–8-0.0546%3 Aug
mirage13–100.0525%27 Jul
vertigo3–9-0.144%1 Jul
nuke10–13-0.0028%1 Jul
dust213–4-0.0422%1 Jul
mirage22–20-0.028%28 Jun
overpass13–100.0324%28 Jun
mirage13–6-0.0221%28 Jun
mirage13–100.0820%24 May
mirage7–13-0.0228%7 Mar
ancient10–13-0.0322%28 Feb
mirage13–60.0319%24 Feb
vertigo13–50.1132%7 Feb
dust213–30.3132%7 Feb
overpass5–130.0115%23 Jan
mirage13–90.0520%12 Jan
nuke10–130.0525%12 Jan
nuke13–70.1127%23 Nov
italy13–70.0520%23 Nov
nuke8–13-0.0218%18 Aug
brewery2–9-0.1620%15 Aug
italy13–50.1524%15 Aug
inferno2–130.000%22 Jul
nuke13–30.1533%22 Jul
nuke13–80.0643%21 Jul
mirage7–13-0.0444%11 Jul
inferno2–9-0.1933%9 Jul
dust27–130.0020%9 Jul
nuke2–130.0528%8 Jul
agency12–120.0738%7 Jul
dogtown6–90.1555%7 Jul
train13–7-0.0430%7 Jul
mirage4–13-0.1023%29 Jun
ancient22–19-0.0223%23 Jun
ancient8–13-0.0225%20 Jun
dust23–110.0433%20 Jun
nuke11–13-0.0230%19 Jun
dust213–4-0.0224%18 Jun
nuke13–7-0.0131%17 Jun
mirage13–5-0.0212%16 Jun
ancient13–6-0.0416%13 Jun
nuke12–160.0521%9 Jun
mirage2–13-0.0436%5 Jun
ancient13–70.0716%5 Jun
grail1–70.0450%4 Jun
nuke4–13-0.0735%1 Jun
mirage13–3-0.0020%1 Jun
inferno7–13-0.0236%31 May
ancient16–130.1424%31 May
agency13–110.2631%30 May
mirage13–30.2434%30 May
mirage10–12-0.0322%22 May
nuke13–20.0418%21 May
inferno3–130.0022%20 May
mirage13–70.0219%20 May
dust216–14-0.0616%20 May
mirage22–20-0.0319%20 May
nuke13–30.0834%20 May
train13–8-0.0221%20 May
ancient13–10.0429%20 May
ancient13–80.0817%20 May
jura13–60.1633%19 May
grail13–30.1425%19 May
dogtown9–50.1019%19 May
nuke13–10-0.0211%18 May
nuke13–10-0.0015%18 May
dust29–130.0232%18 May
train5–13-0.0412%17 May
nuke11–130.1528%16 May
mirage13–90.1035%6 May
train13–70.0718%30 Apr
dust213–100.0333%30 Apr
ancient13–90.0319%30 Apr
dust27–130.0319%30 Apr
inferno12–100.0943%27 Apr
train6–13-0.0421%26 Apr
dust213–40.0210%22 Apr
nuke9–13-0.059%21 Apr
mirage16–12-0.0433%21 Apr
nuke13–110.2131%21 Apr
inferno4–130.0215%21 Apr
nuke13–60.0623%21 Apr
mirage13–50.0211%20 Apr
train13–90.0210%20 Apr
office13–60.1832%17 Apr
italy2–4-0.0633%17 Apr
nuke8–130.1614%17 Apr
mirage3–13-0.0221%7 Apr
nuke1–90.0320%31 Mar
vertigo13–60.0214%31 Mar
overpass0–9-0.206%28 Mar
train9–13-0.0120%27 Mar
whistle0–9-0.220%23 Mar
vertigo5–9-0.0519%23 Mar
anubis13–40.0835%22 Mar
vertigo4–130.1022%16 Mar
train11–13-0.0432%15 Mar
train14–16-0.0129%14 Mar
ancient11–13-0.0420%12 Mar

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches12-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →