lipaton

lipaton — CS2 Stats

FI76561198109050753[U:1:148785025]Steam profile ↗✓ No bans

1,792Tracked matches55%Win rate2020Tracked since
CSDB Rating4.9 DevelopingPositional Player
Premier CS Rating8,275Light Blue band · top ~63.1% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. 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. 41 days played since 28 Jun 2026. 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: 8,275 +1,816 28 Jun19 Sept · 38 days played
5,8699,300peak 9,30028 Jun19 Sept
9,355Peak Premier in tracked matches
41Days played since 2026-06-28

Premier CS Rating

  • 1,025 below peak (9,300)
  • +617 over 30 days · improving
  • +1,816 over 90 days
  • Next: Blue band at 10,000 1,725 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-09-13

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

Share this profile

CSDB.GGlipatonFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER8,275 · Light Blue bandcsdb.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

Aim58
Positioning54
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY51454Last 10051%Win rateLWWWLLWWLL

Last 10 vs previous 10: −20pp win rate · +0.00 avg rating · −4.1pp headshot accuracy · −70ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 32 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 10%
  • Avg reaction 608ms

Last 10

  • 55 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 8%
  • Avg reaction 559ms

Last 20

  • 128 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 11%
  • Avg reaction 593ms

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 (+1.9 against its own average).

Aim5.8
Utility5.2
Positioning5.4
Opening Duels3.3
Clutch0.0

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 83% 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. 582ms 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
Positioning5.4
Utility5.2
Mechanics5.9
Opening Duels3.2
Win Impact6.7

Composite 4.9/10 (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 rating0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time587ms−76ms
first ⅓ avg 663ms → last ⅓ avg 587ms
Headshot accuracy10.1%+0.6%
first ⅓ avg 9.5% → last ⅓ avg 10.1%

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

0.18Best match rating · 9–3 · nuke, 24 Jul
23%Best headshot accuracy · 13–3 · dust2, 11 Sept
344msFastest reaction time · 1–3 · nuke, 12 Sept
13–1Biggest win · dust2, 10 Jul

Across the last 100 tracked matches.

Highlights

6Longest win streak
87In matches decided by ≤2 rounds
12Overtime games

Map breakdown

anubisBest map · 73% over 11ancientWeakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
dust2A2011955%-0.02
nukeA1911858%0.00
mirageC146843%0.00
ancientD1441029%0.00
anubisS118373%-0.00
infernoC94544%-0.03
cacheC83538%0.00
vertigo220100%0.05
debris1010%-0.07
poseidon110100%0.07
overpass110100%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

83Matches
41%Win rate
0.76Avg K/D
69.0ADR
35%Headshot %

Clutches & streaks

0%1v1 clutch win
18%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Nuke650%0.8816.5
Ancient30%0.6211.7
Inferno333%0.427.3
Anubis333%0.9711.0
Cache20%0.8714.5
Mirage10%0.397.0
Vertigo10%0.5811.0

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.

10.3%Headshot accuracy
36.1%Accuracy (enemy spotted)
34.6%Spray accuracy
76.7%Counter-strafing
9.8°Preaim
582msReaction time
42.8%T opening success
43.0%CT opening success
0.52Enemies flashed / flash
3.4%Flash assists
6.98HE damage / grenade
7.82Flashes / 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 10.2739% — 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.

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust210–130.048%19 Sept
mirage16–12-0.018%19 Sept
dust213–11-0.0213%18 Sept
mirage13–80.098%18 Sept
nuke13–16-0.0612%16 Sept
nuke8–13-0.037%15 Sept
anubis11–60.0710%14 Sept
nuke13–9-0.029%12 Sept
nuke1–3-0.050%12 Sept
ancient11–130.0610%12 Sept
cache9–13-0.0217%11 Sept
mirage13–20.104%11 Sept
nuke13–40.029%11 Sept
dust213–3-0.0723%11 Sept
mirage13–4-0.0717%11 Sept
dust213–10-0.0218%11 Sept
inferno7–20.0413%11 Sept
ancient1–130.008%5 Sept
ancient8–130.047%4 Sept
nuke16–140.0411%4 Sept
nuke7–13-0.055%3 Sept
nuke13–60.129%3 Sept
anubis13–9-0.058%2 Sept
ancient5–13-0.0211%1 Sept
ancient15–150.027%31 Aug
anubis10–13-0.069%30 Aug
inferno13–80.0310%30 Aug
ancient13–5-0.079%29 Aug
mirage9–13-0.0215%29 Aug
inferno1–110.056%29 Aug
dust23–13-0.0312%29 Aug
cache16–140.0514%28 Aug
nuke13–11-0.036%28 Aug
anubis8–130.0615%27 Aug
ancient13–60.047%24 Aug
nuke13–100.0111%23 Aug
dust213–90.027%22 Aug
dust214–16-0.0312%22 Aug
cache6–00.1010%22 Aug
dust211–130.0015%11 Aug
cache9–13-0.078%10 Aug
dust25–13-0.098%8 Aug
nuke11–13-0.0113%8 Aug
anubis13–30.039%7 Aug
mirage14–160.0112%6 Aug
nuke13–10-0.0212%4 Aug
mirage6–13-0.103%3 Aug
nuke9–30.1812%24 Jul
debris8–8-0.0715%24 Jul
vertigo9–60.035%24 Jul
ancient13–90.019%24 Jul
mirage4–13-0.0419%21 Jul
dust29–13-0.058%17 Jul
cache15–15-0.0111%17 Jul
anubis13–20.0118%15 Jul
inferno6–13-0.1112%15 Jul
dust213–100.0915%14 Jul
dust21–70.0314%14 Jul
dust28–13-0.0712%14 Jul
dust213–80.0411%12 Jul
dust213–7-0.088%11 Jul
mirage10–13-0.0112%11 Jul
mirage9–13-0.0216%11 Jul
ancient13–4-0.017%11 Jul
anubis13–100.037%11 Jul
anubis13–11-0.0213%10 Jul
dust213–10.0211%10 Jul
nuke10–130.0314%10 Jul
inferno3–13-0.0615%10 Jul
dust27–13-0.046%10 Jul
anubis13–80.006%10 Jul
mirage13–100.0610%10 Jul
ancient6–130.044%10 Jul
cache15–150.004%10 Jul
mirage11–130.0410%10 Jul
cache13–8-0.018%9 Jul
dust216–13-0.046%9 Jul
ancient9–13-0.018%9 Jul
mirage13–40.0513%9 Jul
ancient6–13-0.057%8 Jul
cache4–13-0.009%8 Jul
nuke16–13-0.019%1 Jul
anubis7–13-0.069%1 Jul
nuke13–30.1021%1 Jul
dust213–10-0.0317%1 Jul
inferno13–3-0.039%1 Jul
inferno12–16-0.0711%30 Jun
nuke13–11-0.029%30 Jun
mirage8–13-0.045%30 Jun
inferno13–110.025%29 Jun
anubis13–11-0.0314%29 Jun
ancient9–130.038%29 Jun
ancient4–13-0.082%29 Jun
nuke7–130.036%29 Jun
poseidon9–40.0712%29 Jun
inferno5–9-0.134%29 Jun
vertigo9–60.0722%29 Jun
nuke5–9-0.159%29 Jun
overpass13–10-0.019%28 Jun
dust213–90.0113%28 Jun

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 →