Porpsicle

Porpsicle — CS2 Stats

US76561198101518514[U:1:141252786]Steam profile ↗✓ No bans

1,140Tracked matches47%Win rate2020Tracked since
4,145Hours in CS5Hrs last 2 wks
CSDB Rating7.0 StrongPositional Player
Premier CS Rating23,413Top 25% of 213,542 CSDB-tracked playersPink band · top ~4.7% of ranked players (population est.)
CSDB Leaderboard#39282 of 260203 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Nov 2026 (6 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: 23,413 +952 11 Aug – 1 Nov · 36 days played
22,18224,885peak 24,88511 Aug1 Nov
24,885Peak Premier in tracked matches
40Days played since 2026-08-11

Premier CS Rating

  • 1,472 below peak (24,885)
  • +419 over 30 days · improving
  • +952 over 90 days
  • Next: Red band at 25,000 — 1,587 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-03
  • Purple band first seen 2026-09-03

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

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=15,525), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 8 medianLevel 9 medianvs Level 9
Headshot rate49.3%46.8%48.2%above
Shot accuracy18.0%13.0%13.2%above
Kill/death ratio0.961.061.070.12 short
Match win rate42.8%46.3%46.9%4.1% short

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGPorpsicleFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER23,413 · 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

Aim86
Positioning70
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY52–47–1Last 10052%Win rateWLWLLWLLWW

Last 10 vs previous 10: +10pp win rate · −0.05 avg rating · +0.8pp headshot accuracy · +106ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 21%
  • Avg reaction 636ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 24%
  • Avg reaction 622ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 24%
  • Avg reaction 569ms

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 (+1.9 against its own average).

Aim8.6
Utility4.1
Positioning7.0
Opening Duels5.6
Clutch3.6

Sharp aimerLimited 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

donk

Plays most like donk 91% playstyle similarity

Most alike: opening-duel success, positioning 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

Strengths

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

T openings. 70% T opening-duel success — entries that actually open the round.

Areas to improve

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

CT openings. Opening success drops from 70% on T to 48% on CT — first contacts on the defending side are being lost.

Reaction time. 569ms 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

Aim8.6
Positioning7.0
Utility4.1
Mechanics7.8
Opening Duels7.3
Win Impact3.9

Composite 7.0/10 (Strong), 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 rating-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time575ms+12ms
first ⅓ avg 564ms → last ⅓ avg 575ms
Headshot accuracy22.4%+0.4%
first ⅓ avg 22.0% → last ⅓ avg 22.4%

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

0.13Best match rating · 13–11 · cache, 17 Oct →
71%Best headshot accuracy · 5–13 · nuke, 13 Aug →
391msFastest reaction time · 4–13 · dust2, 18 Oct →
13–2Biggest win · cache, 1 Nov →

Across the last 100 tracked matches.

Highlights

6Longest win streak
10–8In matches decided by ≤2 rounds
5Overtime games

Map breakdown

ancientBest map · 71% over 14infernoWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageB2412–1250%-0.00
cacheB179–853%0.01
ancientS1410–471%0.00
anubisA148–657%0.00
dust2B126–650%0.01
nukeC114–736%-0.02
infernoD72–529%-0.01
vertigo—11–0100%0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

144,154Lifetime kills
0.96K/D
4,919Matches
42.8%Match win rate
49.3%Headshot % · Top 50% of Level 8 players
18.0%Shot accuracy · Top 10% of Level 8 players
19,779MVPs
3,805Hours (in match)
3,900Bombs planted
2,436Bombs defused

Most-used weapons

AK-4754,234
AWP16,217
P2503,152
SSG 082,936
Knife2,429

Lifetime map wins

8,985dust2
5,847inferno
2,952train
2,103nuke
1,181cbble
664vertigo
309office
90safehouse

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

Faceit stats

Combat

435Matches
51%Win rate
1.25Avg K/D
85.1ADR
49%Headshot %

Clutches & streaks

38%1v1 clutch win
24%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage4858%1.3216.2
Ancient3861%1.1516.6
Anubis2748%1.2517.3
Nuke2357%1.2518.9
Cache2143%1.0918.7
Dust21953%1.1617.4
Overpass1753%1.1419.1
Inferno1323%1.0314.9

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.

23.0%Headshot accuracy
37.3%Accuracy (enemy spotted)
40.6%Spray accuracy
85.1%Counter-strafing
9.3°Preaim
569msReaction time
70.1%T opening success
48.2%CT opening success
0.49Enemies flashed / flash
12.2%Flash assists
3.96HE damage / grenade
4.48Flashes / 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 0.4886 — below the 0.5 mark we flag

    Grenade Lineups →
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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–8-0.0121%2 Nov →
dust20–7-0.100%2 Nov →
cache13–20.0311%1 Nov →
dust25–13-0.0352%1 Nov →
mirage7–13-0.0121%1 Nov →
ancient13–110.0322%31 Oct →
cache3–13-0.0845%30 Oct →
anubis3–13-0.0724%23 Oct →
mirage13–70.0130%23 Oct →
inferno13–10-0.0117%19 Oct →
inferno6–13-0.0222%18 Oct →
dust24–130.0530%18 Oct →
ancient13–100.0923%18 Oct →
cache8–13-0.0313%18 Oct →
ancient13–60.0210%17 Oct →
cache13–110.1322%17 Oct →
anubis2–130.0326%17 Oct →
inferno9–13-0.0340%15 Oct →
nuke10–13-0.0435%15 Oct →
mirage13–70.1115%14 Oct →
anubis1–13-0.0923%14 Oct →
mirage14–16-0.0121%14 Oct →
inferno6–130.0112%14 Oct →
mirage13–9-0.0324%14 Oct →
ancient5–130.0225%14 Oct →
ancient13–9-0.0521%13 Oct →
dust211–13-0.0420%13 Oct →
cache13–11-0.0021%13 Oct →
dust213–6-0.0117%12 Oct →
cache13–90.0518%12 Oct →
mirage3–13-0.0129%11 Oct →
anubis7–130.0118%11 Oct →
cache3–13-0.0614%11 Oct →
dust213–11-0.0115%11 Oct →
anubis13–100.0020%10 Oct →
mirage13–8-0.0313%10 Oct →
cache13–110.0036%10 Oct →
cache13–20.1217%10 Oct →
inferno13–90.0526%10 Oct →
mirage7–130.0218%10 Oct →
ancient11–130.0619%10 Oct →
cache13–60.0226%7 Oct →
nuke9–10-0.0815%4 Oct →
ancient16–13-0.0435%27 Sept →
anubis13–11-0.0542%27 Sept →
nuke13–9-0.0424%27 Sept →
mirage9–13-0.0414%27 Sept →
cache2–13-0.0721%27 Sept →
mirage13–60.0131%24 Sept →
dust213–40.0438%23 Sept →
anubis13–110.0421%23 Sept →
mirage0–13-0.0364%20 Sept →
dust211–130.0328%20 Sept →
mirage10–130.0529%20 Sept →
dust213–7-0.0224%20 Sept →
anubis13–5-0.0243%19 Sept →
mirage13–80.0215%15 Sept →
mirage15–15-0.0121%9 Sept →
dust213–50.0528%9 Sept →
vertigo13–90.0023%7 Sept →
dust213–70.1323%7 Sept →
dust24–130.0320%6 Sept →
ancient13–60.0317%6 Sept →
cache8–130.0228%4 Sept →
cache9–13-0.0120%29 Aug →
anubis8–13-0.0326%29 Aug →
mirage13–100.0027%29 Aug →
ancient11–13-0.1013%27 Aug →
mirage16–14-0.0420%27 Aug →
nuke13–16-0.0313%24 Aug →
cache13–11-0.0031%24 Aug →
cache4–13-0.0031%24 Aug →
nuke9–13-0.039%24 Aug →
mirage13–100.0315%21 Aug →
nuke8–13-0.0213%21 Aug →
nuke3–0-0.030%21 Aug →
anubis13–100.0321%20 Aug →
ancient13–70.0622%20 Aug →
mirage13–50.0224%20 Aug →
ancient13–100.0014%19 Aug →
nuke7–13-0.0026%19 Aug →
cache13–80.0225%19 Aug →
mirage4–13-0.0458%18 Aug →
anubis13–110.0422%18 Aug →
mirage4–13-0.0412%18 Aug →
anubis5–130.0326%17 Aug →
mirage5–13-0.0323%16 Aug →
cache3–13-0.0526%16 Aug →
nuke13–80.0129%16 Aug →
anubis13–100.0220%15 Aug →
inferno11–13-0.0026%15 Aug →
inferno11–13-0.0510%14 Aug →
ancient13–10-0.0417%14 Aug →
ancient13–8-0.0014%13 Aug →
ancient4–13-0.0510%13 Aug →
mirage13–2-0.0322%13 Aug →
nuke5–13-0.0171%13 Aug →
nuke13–70.0222%12 Aug →
mirage10–130.0124%12 Aug →
anubis13–50.0517%11 Aug →

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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