SoapyToad

SoapyToad — CS2 Stats

CI76561198046425948[U:1:86160220]Steam profile ↗✓ No bans

1,089Tracked matches41%Win rate2021Tracked since
CSDB Rating3.2 LearningPositional Player
Premier CS Rating6,311Light Blue band · top ~72.5% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Nov 2026 (2 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: 6,311 +1,078 5 Sept – 12 Nov · 31 days played
5,1096,431peak 6,4315 Sept12 Nov
7,021Peak Premier in tracked matches
33Days played since 2026-09-05

Premier CS Rating

  • 120 below peak (6,431)
  • -120 over 30 days · steady
  • Next: Blue band at 10,000 — 3,689 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-09-05

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

Share this profile

CSDB.GGSoapyToadPREMIER6,311 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim49
Positioning61
Utility4

0–100 skill scores via Leetify.

Recent form

COLD45–53–2Last 10045%Win rateWWLLLLLLLL

Last 10 vs previous 10: −40pp win rate · −0.00 avg rating · −5.4pp headshot accuracy · −66ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 8%
  • Avg reaction 458ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 477ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 510ms

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 (+2.8 against its own average).

Aim4.9
Utility0.4
Positioning6.1
Opening Duels3.4

Strong CT-side openerLimited utility dependence

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 73% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Counter-strafing. Only 48% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.9
Positioning6.1
Utility0.4
Mechanics0.0
Opening Duels6.4
Win Impact2.1

Composite 3.2/10 (Learning), 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+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time512ms−26ms
first ⅓ avg 538ms → last ⅓ avg 512ms
Headshot accuracy16.0%+0.5%
first ⅓ avg 15.5% → last ⅓ avg 16.0%

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 · 13–1 · dust2, 5 Oct →
54%Best headshot accuracy · 6–13 · dust2, 16 Sept →
391msFastest reaction time · 13–7 · inferno, 12 Nov →
13–1Biggest win · dust2, 5 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
5–5In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 67% over 15ancientWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B2412–1250%0.01
nukeD195–1426%-0.02
mirageB168–850%-0.00
infernoS1510–567%0.01
anubisC83–538%-0.02
ancientD81–713%0.00
cacheA74–357%-0.01
vertigo—32–167%-0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Skill profile

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

16.0%Headshot accuracy
38.3%Accuracy (enemy spotted)
23.6%Spray accuracy
48.0%Counter-strafing
8.5°Preaim
514msReaction time
53.7%T opening success
57.4%CT opening success
0.15Enemies flashed / flash
0.0%Flash assists
0.25HE damage / grenade
0.85Flashes / 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 0.1473 — below the 0.5 mark we flag

    Grenade Lineups →
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.

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno16–130.084%12 Nov →
inferno13–70.067%12 Nov →
nuke8–13-0.0115%12 Nov →
anubis10–13-0.0110%12 Nov →
inferno6–13-0.085%11 Nov →
nuke2–13-0.0412%9 Nov →
vertigo11–13-0.0613%8 Nov →
dust28–13-0.050%7 Nov →
dust23–13-0.0118%7 Nov →
cache6–13-0.0225%7 Nov →
inferno13–30.0115%7 Nov →
ancient8–13-0.0022%7 Nov →
inferno7–13-0.0514%6 Nov →
anubis6–13-0.0422%6 Nov →
inferno13–110.0327%6 Nov →
dust26–13-0.1311%5 Nov →
cache13–8-0.006%5 Nov →
anubis13–4-0.0412%5 Nov →
dust213–40.0713%5 Nov →
ancient13–70.0218%5 Nov →
mirage15–150.0026%23 Oct →
mirage4–130.0231%20 Oct →
nuke2–13-0.0613%7 Oct →
mirage16–13-0.0014%7 Oct →
dust213–11-0.0231%5 Oct →
dust213–10.1822%5 Oct →
cache13–4-0.1327%3 Oct →
dust26–13-0.0418%3 Oct →
ancient11–130.067%2 Oct →
nuke4–130.0425%1 Oct →
mirage13–6-0.0014%1 Oct →
cache7–130.0412%30 Sept →
dust213–110.0418%30 Sept →
nuke2–13-0.066%30 Sept →
dust213–10.027%30 Sept →
mirage13–90.0210%29 Sept →
nuke9–130.0122%29 Sept →
anubis5–13-0.0722%25 Sept →
dust213–90.0424%25 Sept →
ancient10–130.0419%24 Sept →
cache16–130.0612%24 Sept →
inferno13–90.0439%24 Sept →
ancient11–130.0130%24 Sept →
mirage3–13-0.0618%24 Sept →
inferno13–90.0136%23 Sept →
nuke5–13-0.0527%23 Sept →
nuke4–13-0.0811%23 Sept →
dust213–8-0.0213%22 Sept →
dust28–13-0.0111%22 Sept →
cache13–50.0318%22 Sept →
mirage11–13-0.028%22 Sept →
nuke9–13-0.030%21 Sept →
mirage4–13-0.0320%21 Sept →
inferno13–20.1111%21 Sept →
dust213–110.0227%21 Sept →
nuke1–13-0.1117%20 Sept →
mirage4–13-0.0213%20 Sept →
dust213–40.010%20 Sept →
dust213–70.1213%20 Sept →
mirage2–13-0.0913%20 Sept →
nuke13–100.1119%20 Sept →
nuke13–50.0912%20 Sept →
inferno9–13-0.0519%19 Sept →
ancient10–13-0.034%18 Sept →
anubis13–9-0.028%18 Sept →
dust210–130.020%17 Sept →
inferno13–40.0615%17 Sept →
mirage16–130.0733%17 Sept →
dust26–130.0254%16 Sept →
ancient5–13-0.0415%16 Sept →
dust213–90.0424%16 Sept →
dust22–130.0321%16 Sept →
inferno5–13-0.1114%16 Sept →
dust213–4-0.010%16 Sept →
mirage13–8-0.0512%16 Sept →
anubis5–130.0616%15 Sept →
nuke13–90.0214%15 Sept →
nuke6–13-0.0418%15 Sept →
inferno13–30.126%15 Sept →
nuke3–13-0.097%15 Sept →
mirage6–130.0111%15 Sept →
dust20–60.040%15 Sept →
inferno5–13-0.0512%15 Sept →
nuke13–5-0.0315%15 Sept →
mirage13–11-0.0210%14 Sept →
mirage16–130.1016%14 Sept →
mirage16–130.004%14 Sept →
dust210–13-0.0820%14 Sept →
ancient11–13-0.0517%13 Sept →
vertigo13–5-0.0722%12 Sept →
cache3–13-0.0411%10 Sept →
anubis13–5-0.050%10 Sept →
inferno13–100.0114%10 Sept →
nuke15–15-0.0312%10 Sept →
nuke13–90.0612%10 Sept →
anubis5–130.0613%10 Sept →
nuke6–13-0.1217%9 Sept →
vertigo13–10-0.0830%9 Sept →
dust29–130.0120%9 Sept →
dust28–130.0319%6 Sept →

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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