| Peace & love

| Peace & love — CS2 Stats

76561198426239693[U:1:465973965]Steam profile ↗✓ No bans

725Tracked matches41%Win rate2020Tracked since
CSDB Rating5.0 DevelopingPositional Player
Premier CS Rating21,776Top 50% of 190,010 CSDB-tracked playersPink band · top ~6.5% of ranked players (population est.)
CSDB Leaderboard#54527 of 237523 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Sep 2026 (8 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 725 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. 31 days played since 23 Feb 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: 21,776 +1,776 24 Feb14 Sept · 18 days played
19,51121,776peak 21,77624 Feb14 Sept
22,035Peak Premier in tracked matches
31Days played since 2026-02-23

Premier CS Rating

  • At peak — 21,776
  • Next: Red band at 25,000 3,224 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-14
  • Purple band first seen 2026-09-14

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

Share this profile

CSDB.GG| Peace & loveFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER21,776 · Pink 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

Aim59
Positioning56
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY474310Last 10047%Win rateWLWLWLLLLW

Last 10 vs previous 10: +20pp win rate · −0.02 avg rating · +3.6pp headshot accuracy · +24ms reaction

Win rate up 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 (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 32 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 21%
  • Avg reaction 596ms

Last 10

  • 46 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 645ms

Last 20

  • 6131 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 633ms

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 (+0.9 against its own average).

Aim5.9
Utility4.5
Positioning5.6
Opening Duels4.1
Clutch4.4

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: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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. 642ms 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

Aim5.9
Positioning5.6
Utility4.5
Mechanics5.3
Opening Duels3.1
Win Impact1.9

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time632ms+62ms
first ⅓ avg 570ms → last ⅓ avg 632ms
Headshot accuracy20.5%+1.5%
first ⅓ avg 18.9% → last ⅓ avg 20.5%

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

0.14Best match rating · 13–9 · nuke, 22 Apr
42%Best headshot accuracy · 13–9 · dust2, 7 May
406msFastest reaction time · 2–13 · inferno, 7 May
13–2Biggest win · dust2, 24 Jul

Across the last 100 tracked matches.

Highlights

4Longest win streak
66In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 60% over 5infernoWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
dust2A38211755%0.00
mirageB26121446%0.00
infernoD134931%-0.00
nukeC83538%0.01
cacheC52340%0.01
ancientA53260%0.03
anubis31233%0.06
italy110100%0.11
train1010%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

852Matches
52%Win rate
1.17Avg K/D
84.2ADR
41%Headshot %

Clutches & streaks

42%1v1 clutch win
23%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1362%1.0114.7
Inferno1050%0.9817.4
Cache667%1.2621.8
Dust2520%1.0715.4
Ancient540%1.0018.6
Nuke30%0.8015.7
Anubis1100%1.3619.0
Overpass10%0.6111.0

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.

20.9%Headshot accuracy
33.0%Accuracy (enemy spotted)
36.4%Spray accuracy
73.7%Counter-strafing
10.4°Preaim
642msReaction time
36.9%T opening success
47.6%CT opening success
0.67Enemies flashed / flash
5.1%Flash assists
3.84HE damage / grenade
8.06Flashes / 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 36.8664% — below the 40% mark we flag

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.

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–11-0.0128%29 Aug
mirage9–130.0922%24 Jul
dust213–2-0.0119%24 Jul
mirage1–13-0.0322%20 Jul
italy13–40.1114%20 Jul
dust23–13-0.0541%19 Jul
nuke10–13-0.0019%19 Jul
cache0–13-0.0222%18 Jul
inferno9–13-0.0321%18 Jul
ancient13–40.0117%18 Jul
mirage6–13-0.0116%18 Jul
anubis11–130.0435%18 Jul
mirage4–13-0.027%18 Jul
inferno12–120.0413%18 Jul
dust22–13-0.0114%18 Jul
mirage4–130.0114%18 Jul
nuke13–60.0722%18 Jul
dust213–80.0923%18 Jul
dust29–13-0.0421%18 Jul
cache5–130.0724%18 Jul
dust28–13-0.0422%18 Jul
mirage13–90.0819%18 Jul
dust213–11-0.0229%18 Jul
train6–13-0.0316%17 Jul
cache13–3-0.0425%17 Jul
dust212–120.0616%17 Jul
mirage12–12-0.058%17 Jul
ancient13–90.0931%27 May
mirage9–130.0222%25 May
anubis13–80.1224%25 May
dust213–40.0122%25 May
inferno5–13-0.0410%25 May
mirage13–6-0.0019%25 May
ancient13–9-0.028%25 May
dust213–10-0.0127%25 May
inferno13–20.0513%25 May
cache12–120.0016%25 May
mirage2–13-0.1011%25 May
dust213–50.1122%24 May
anubis11–130.0315%24 May
mirage13–5-0.0013%24 May
dust216–120.0521%24 May
nuke15–15-0.0513%22 May
inferno13–60.0312%22 May
inferno13–10-0.0426%22 May
dust29–13-0.0118%21 May
dust213–11-0.0630%21 May
mirage8–13-0.0011%21 May
dust24–13-0.0122%21 May
ancient11–130.0220%21 May
dust213–30.0433%21 May
mirage13–11-0.0318%21 May
nuke7–13-0.0412%20 May
dust29–130.0324%20 May
mirage15–150.0219%20 May
dust26–130.0324%18 May
mirage13–60.0318%18 May
dust213–7-0.0411%18 May
mirage8–130.0410%18 May
inferno12–16-0.0412%15 May
dust28–130.0221%15 May
mirage13–80.1117%15 May
dust28–13-0.0415%15 May
mirage13–11-0.019%7 May
dust213–90.0742%7 May
cache13–80.0512%7 May
inferno2–130.0319%7 May
inferno9–130.0012%6 May
dust216–13-0.0022%4 May
mirage13–90.0415%29 Apr
dust212–120.0630%22 Apr
nuke1–130.0219%22 Apr
dust213–11-0.0115%22 Apr
mirage1–130.0320%22 Apr
nuke13–90.1421%22 Apr
inferno2–13-0.0123%22 Apr
dust23–13-0.0122%22 Apr
dust213–9-0.0821%16 Apr
mirage13–8-0.0317%16 Apr
dust213–80.0125%16 Apr
dust213–8-0.0730%27 Mar
inferno10–13-0.0018%18 Mar
dust213–80.0317%13 Mar
ancient15–150.0521%10 Mar
dust212–120.0416%10 Mar
mirage16–13-0.0516%2 Mar
dust215–15-0.009%2 Mar
dust213–90.0215%28 Feb
mirage13–5-0.0413%27 Feb
mirage13–60.0311%26 Feb
dust211–13-0.0120%26 Feb
inferno14–160.008%26 Feb
mirage11–13-0.0113%26 Feb
dust213–80.0229%25 Feb
mirage7–13-0.0129%25 Feb
dust213–10-0.0122%25 Feb
nuke4–13-0.0116%24 Feb
nuke13–7-0.0518%24 Feb
inferno13–10-0.0524%24 Feb
dust27–13-0.0116%23 Feb

Match data via Leetify.

Recent teammates

Milestones

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