Lisztomanicapone

Lisztomanicapone — CS2 Stats

76561198844749589[U:1:884483861]Steam profile ↗✓ No bans

1,071Tracked matches48%Win rate2024Tracked since
CSDB Rating5.2 DevelopingPositional Player
Premier CS Rating5,263Light Blue band · top ~77.5% of ranked players (population est.)
FaceitLevel 1Top 100.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Oct 2026 (11 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 5,263 -2,286 24 Jul – 2 Oct · 24 days played
5,0497,549peak 7,54924 Jul2 Oct
7,906Peak Premier in tracked matches
26Days played since 2026-07-24

Premier CS Rating

  • 2,286 below peak (7,549)
  • -90 over 30 days · steady
  • Next: Blue band at 10,000 — 4,737 to go
  • Reached: Light Blue band

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

Share this profile

CSDB.GGLisztomanicaponeFACEITLevel 1STANDINGTop 100.0% of rankedPREMIER5,263 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim58
Positioning63
Utility54

0–100 skill scores via Leetify.

Recent form

COLD46–51–3Last 10046%Win rateLLWWLWLLLL

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · +0.1pp headshot accuracy · +6ms reaction

Win rate down 20pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 647ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 606ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • 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: Positional Player — Positioning stands above the rest of this profile (+1.1 against its own average).

Aim5.8
Utility5.4
Positioning6.3
Opening Duels4.8
Clutch4.2

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

jL

Plays most like jL 80% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Areas to improve

Reaction time. 616ms 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

Aim5.8
Positioning6.3
Utility5.4
Mechanics6.4
Opening Duels6.1
Win Impact4.4

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time613ms−30ms
first ⅓ avg 643ms → last ⅓ avg 613ms
Headshot accuracy14.9%+0.6%
first ⅓ avg 14.3% → last ⅓ avg 14.9%

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

0.12Best match rating · 13–6 · dust2, 22 Sept →
36%Best headshot accuracy · 13–0 · cache, 25 Sept →
445msFastest reaction time · 13–9 · mirage, 21 Aug →
13–0Biggest win · cache, 25 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
8–13In matches decided by ≤2 rounds
12Overtime games

Map breakdown

mirageBest map · 62% over 21ancientWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
dust2D2910–1934%0.01
mirageA2113–862%-0.01
nukeA138–562%0.00
anubisA116–555%-0.00
ancientD102–820%-0.00
infernoC94–544%-0.01
cacheD62–433%0.04
poseidon—11–0100%0.11

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

43Matches
33%Win rate
0.52Avg K/D
46.6ADR
28%Headshot %

Clutches & streaks

41%1v1 clutch win
8%1v2 clutch win
2Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Dust21540%0.507.9
Mirage1346%0.6911.0
Inferno617%0.345.2
Nuke50%0.335.4
Anubis425%0.5010.0

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.

15.0%Headshot accuracy
33.2%Accuracy (enemy spotted)
35.6%Spray accuracy
78.9%Counter-strafing
10.2°Preaim
616msReaction time
58.4%T opening success
50.1%CT opening success
0.54Enemies flashed / flash
5.1%Flash assists
8.09HE damage / grenade
10.87Flashes / 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. 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 14.9854% — below the 15% mark we flag

    Aim Training →
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.

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno10–13-0.0820%12 Oct →
dust26–130.0320%12 Oct →
mirage13–5-0.0116%12 Oct →
mirage13–90.0225%2 Oct →
nuke9–13-0.0016%2 Oct →
dust213–7-0.0114%2 Oct →
ancient7–130.0010%26 Sept →
inferno10–13-0.0616%26 Sept →
dust24–130.0015%25 Sept →
mirage10–13-0.015%25 Sept →
nuke13–9-0.0110%25 Sept →
cache13–0-0.0036%25 Sept →
nuke1–8-0.0917%25 Sept →
nuke11–13-0.0015%25 Sept →
poseidon9–20.1115%25 Sept →
dust213–60.1210%22 Sept →
ancient9–13-0.0316%22 Sept →
dust29–13-0.0613%18 Sept →
dust27–11-0.039%18 Sept →
ancient13–50.0116%18 Sept →
cache13–30.119%17 Sept →
mirage13–11-0.0420%17 Sept →
mirage14–16-0.049%4 Sept →
dust213–8-0.007%4 Sept →
ancient14–16-0.0112%4 Sept →
dust213–110.0423%4 Sept →
nuke13–70.0515%2 Sept →
dust215–15-0.0222%2 Sept →
anubis13–50.0414%2 Sept →
mirage9–13-0.0814%2 Sept →
mirage13–100.0112%1 Sept →
mirage16–14-0.0115%1 Sept →
dust27–13-0.025%1 Sept →
inferno7–130.0016%1 Sept →
cache3–13-0.0528%1 Sept →
cache1–130.0216%1 Sept →
cache9–130.0711%1 Sept →
cache7–130.0830%1 Sept →
inferno13–90.1018%27 Aug →
dust26–13-0.007%27 Aug →
mirage6–13-0.0112%27 Aug →
mirage9–13-0.0310%27 Aug →
mirage11–13-0.0316%25 Aug →
dust213–110.0213%25 Aug →
anubis11–13-0.0315%23 Aug →
nuke9–13-0.0321%23 Aug →
inferno13–11-0.0014%23 Aug →
mirage14–16-0.0215%22 Aug →
mirage13–80.0216%22 Aug →
dust25–13-0.0115%22 Aug →
mirage13–90.0110%21 Aug →
mirage13–8-0.0011%21 Aug →
anubis13–60.0212%21 Aug →
ancient11–13-0.0610%20 Aug →
dust22–13-0.018%20 Aug →
dust213–80.007%20 Aug →
mirage13–30.009%20 Aug →
dust213–16-0.0219%19 Aug →
ancient8–13-0.0311%19 Aug →
inferno5–13-0.055%19 Aug →
dust29–13-0.0218%16 Aug →
dust213–30.0315%16 Aug →
dust211–13-0.0414%16 Aug →
dust213–16-0.0612%16 Aug →
anubis9–13-0.0315%16 Aug →
mirage13–8-0.0116%16 Aug →
nuke16–120.0611%10 Aug →
anubis9–130.0214%10 Aug →
dust215–150.0312%10 Aug →
anubis8–13-0.0221%10 Aug →
ancient16–130.0211%8 Aug →
inferno11–13-0.0017%7 Aug →
nuke13–7-0.0410%7 Aug →
nuke13–80.0913%7 Aug →
anubis13–6-0.039%7 Aug →
ancient7–13-0.0016%6 Aug →
mirage13–3-0.0115%6 Aug →
nuke13–90.057%6 Aug →
mirage6–13-0.045%6 Aug →
dust215–150.038%6 Aug →
dust211–130.0113%2 Aug →
anubis13–4-0.0317%2 Aug →
anubis9–13-0.0011%2 Aug →
inferno13–20.0414%2 Aug →
dust26–60.0620%2 Aug →
dust213–100.0718%2 Aug →
ancient10–130.0213%31 Jul →
inferno13–11-0.0016%31 Jul →
anubis13–4-0.0216%31 Jul →
nuke6–13-0.0220%31 Jul →
dust27–130.0121%31 Jul →
mirage13–80.0511%31 Jul →
nuke13–4-0.0213%31 Jul →
mirage13–20.0320%31 Jul →
dust213–110.0226%30 Jul →
nuke13–4-0.0219%24 Jul →
anubis13–110.054%24 Jul →
dust213–30.0016%24 Jul →
ancient14–160.0411%24 Jul →
dust211–13-0.0115%24 Jul →

Match data via Leetify.

Recent teammates

Milestones

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

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