lil soup 。°✩

lil soup 。°✩ — CS2 Stats

76561198423653018[U:1:463387290]Steam profile ↗✓ No bans

1,155Tracked matches74%Win rate2024Tracked since
1,211Hours in CS32Hrs last 2 wks
CSDB Rating5.6 SolidPositional Player
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. Today is the first observation — history builds from here and cannot be backfilled. Come back after the next session and the change shows above.

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Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches3410+24
Win rate62%70%−8pp
K/D1.021.07−0.05
Headshot %49%45%+3pp

Measured 10 Sep 202619 Sep 2026; previous 6 Sep 2026 → 10 Sep 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Performance scores

Aim59
Positioning54
Utility36

0–100 skill scores via Leetify.

Recent form

STEADY573310Last 10057%Win rateWLWWLWLLLL

Last 10 vs previous 10: −40pp win rate · −0.00 avg rating · +0.2pp headshot accuracy · −37ms 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

  • 32 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 19%
  • Avg reaction 664ms

Last 10

  • 46 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 622ms

Last 20

  • 1262 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 640ms

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 (+1.4 against its own average).

Aim5.9
Utility3.6
Positioning5.4
Opening Duels2.9

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

iM

Plays most like iM 88% playstyle similarity

Most alike: positioning profile, opening-duel success.

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. 654ms 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
Positioning5.4
Utility3.6
Mechanics6.2
Opening Duels2.3
Win Impact10.0

Composite 5.6/10 (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 rating0.03+0.03
first ⅓ avg -0.01 → last ⅓ avg 0.03
Reaction time652ms−55ms
first ⅓ avg 706ms → last ⅓ avg 652ms
Headshot accuracy18.2%+5.7%
first ⅓ avg 12.4% → last ⅓ avg 18.2%

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

0.17Best match rating · 13–6 · anubis, 8 Sept
32%Best headshot accuracy · 13–2 · vertigo, 11 Sept
469msFastest reaction time · 5–1 · dust2, 25 Aug
13–1Biggest win · cache, 12 Sept

Across the last 100 tracked matches.

Highlights

8Longest win streak
62In matches decided by ≤2 rounds

Map breakdown

trainBest map · 71% over 7mirageWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2S1913668%0.01
cacheS139469%0.04
anubisB126650%0.03
officeA106460%0.03
ancientC94544%-0.00
nukeB84450%0.01
trainS75271%0.03
mirageD61517%0.02
infernoS64267%-0.01
vertigo43175%0.02
overpass31233%0.02
italy21150%-0.05
fachwerk1010%0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

22,529Lifetime kills
0.80K/D
1,891Matches
43.8%Match win rate
33.2%Headshot %
0.0%Shot accuracy
2,768MVPs
698Hours (in match)
2,345Bombs planted
610Bombs defused

Most-used weapons

Lifetime map wins

5,998dust2
2,170inferno
1,631nuke
864office
502vertigo
489train
70italy
1ar_baggage

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

18.1%Headshot accuracy
34.4%Accuracy (enemy spotted)
33.7%Spray accuracy
78.1%Counter-strafing
10.1°Preaim
654msReaction time
41.8%T opening success
36.6%CT opening success
0.33Enemies flashed / flash
1.4%Flash assists
9.80HE damage / grenade
8.71Flashes / 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 0.3335 — below the 0.5 mark we flag

    Grenade Lineups
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 36.5597% — below the 40% mark we flag

Spend your practice time on Mirage

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–40.0219%19 Sept
dust211–130.0612%19 Sept
anubis13–40.0919%16 Sept
anubis13–90.1024%16 Sept
anubis7–13-0.0823%16 Sept
nuke13–60.0119%14 Sept
dust29–13-0.0516%14 Sept
overpass9–13-0.0216%13 Sept
office8–130.0319%13 Sept
anubis6–13-0.018%13 Sept
vertigo13–4-0.057%13 Sept
mirage12–12-0.0013%13 Sept
dust213–20.0122%13 Sept
ancient13–11-0.0217%13 Sept
inferno12–120.0124%13 Sept
train13–9-0.0021%12 Sept
nuke13–50.0922%12 Sept
cache13–10.0417%12 Sept
office13–60.0112%12 Sept
train6–20.1120%12 Sept
ancient12–120.0226%12 Sept
ancient13–10.1218%12 Sept
anubis13–90.0315%12 Sept
cache13–50.0018%12 Sept
anubis13–20.0824%11 Sept
dust213–7-0.0215%11 Sept
vertigo13–20.1132%11 Sept
inferno13–70.0815%11 Sept
inferno13–100.0318%11 Sept
nuke5–13-0.0115%11 Sept
office13–110.1119%11 Sept
train13–7-0.0517%9 Sept
dust213–60.0217%8 Sept
nuke13–70.009%8 Sept
cache11–130.1519%8 Sept
mirage13–110.0218%8 Sept
anubis13–60.1714%8 Sept
inferno13–10-0.0512%8 Sept
overpass6–13-0.046%8 Sept
mirage10–130.0218%6 Sept
train13–60.0716%6 Sept
fachwerk10–130.0418%6 Sept
cache13–50.0212%6 Sept
office13–110.1313%6 Sept
inferno8–13-0.1013%5 Sept
office13–90.0117%5 Sept
dust27–130.016%5 Sept
mirage2–130.0315%1 Sept
dust213–50.1421%1 Sept
office13–80.0214%1 Sept
nuke12–12-0.005%1 Sept
train8–130.1117%1 Sept
dust25–130.0515%1 Sept
office7–13-0.0211%1 Sept
office12–12-0.0420%28 Aug
cache13–90.1413%28 Aug
anubis10–130.0421%28 Aug
ancient6–1-0.070%28 Aug
cache7–130.0111%28 Aug
train13–11-0.0216%28 Aug
overpass13–30.1218%28 Aug
dust29–13-0.038%27 Aug
anubis13–110.0417%27 Aug
cache13–20.1422%27 Aug
italy4–13-0.0710%27 Aug
mirage7–130.0523%26 Aug
cache13–40.0519%26 Aug
dust213–4-0.0413%25 Aug
dust25–1-0.020%25 Aug
inferno13–3-0.050%25 Aug
cache13–6-0.0113%25 Aug
office10–130.016%25 Aug
dust213–70.056%25 Aug
office13–10-0.0118%22 Aug
ancient9–130.0216%22 Aug
cache13–90.0010%22 Aug
train5–130.018%22 Aug
dust213–80.0114%22 Aug
dust25–13-0.1120%9 Aug
cache12–12-0.029%9 Aug
ancient8–13-0.017%9 Aug
ancient8–13-0.0411%2 Aug
nuke6–13-0.079%2 Aug
dust213–100.0520%1 Aug
anubis12–12-0.075%1 Aug
nuke5–130.017%1 Aug
dust213–80.0717%1 Aug
dust213–6-0.0126%1 Aug
anubis12–120.027%1 Aug
cache13–10-0.0124%1 Aug
cache12–120.0420%28 Jul
nuke13–60.0716%28 Jul
mirage9–13-0.0212%28 Jul
ancient10–13-0.0119%26 Jul
italy13–10-0.0318%26 Jul
anubis12–12-0.016%26 Jul
ancient13–7-0.0318%26 Jul
vertigo7–2-0.000%26 Jul
dust213–4-0.0214%26 Jul
vertigo3–130.0221%25 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 →