Potamochoerus porcus

Potamochoerus porcus — CS2 Stats

FI76561198082888076[U:1:122622348]Steam profile ↗✓ No bans

974Tracked matches47%Win rate2020Tracked since
CSDB Rating3.3 LearningSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Sep 2026 (38 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,210 → 1,210
+7Tracked matches · now 974
0.0ppWin rate · 46.7% → 46.7%

Rating over time

Premier CS Rating: 17,553 -5,311 30 Oct – 16 Jun · 11 days played
17,55322,864peak 22,86430 Oct16 Jun
22,864Peak Premier in tracked matches
1,210Highest Faceit ELO seen on CSDB
36Days played since 2025-10-30

Faceit ELO

  • At peak — 1,210
  • Next: Level 7 at 1,351 — 141 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-09-05
  • Level 5 first seen 2026-09-05

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGPotamochoerus porcusPEAK ELO1,210csdb.gg/stats

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Performance scores

Aim29
Positioning43
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY46–53–1Last 10046%Win rateWLWWLLWLWL

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · +2.9pp headshot accuracy · +96ms 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 (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 18%
  • Avg reaction 805ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 19%
  • Avg reaction 800ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 752ms

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: Support — Utility contribution stands above the rest of this profile (+1.6 against its own average).

Aim2.9
Utility4.8
Positioning4.3
Opening Duels0.0
Clutch3.8

Strong CT-side opener

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

ZywOo

Plays most like ZywOo 65% 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

T-side openings. Opening success drops from 36% on CT to 16% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 727ms 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

Aim2.9
Positioning4.3
Utility4.8
Mechanics4.7
Opening Duels0.8
Win Impact3.9

Composite 3.3/10 (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-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time717ms+95ms
first ⅓ avg 622ms → last ⅓ avg 717ms
Headshot accuracy16.2%+0.8%
first ⅓ avg 15.4% → last ⅓ avg 16.2%

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

0.10Best match rating · 13–5 · inferno, 2 Feb →
33%Best headshot accuracy · 13–7 · nuke, 13 Jan →
438msFastest reaction time · 10–13 · ancient, 1 Nov →
13–4Biggest win · inferno, 6 Nov →

Across the last 100 tracked matches.

Highlights

6Longest win streak
5–6In matches decided by ≤2 rounds
7Overtime games

Map breakdown

overpassBest map · 64% over 11ancientWeakest map · 29% over 24
MapGradePlayedRecordWin rateAvg rating
ancientD247–1729%-0.03
nukeA1811–761%-0.01
infernoB147–750%-0.02
mirageB137–654%-0.02
overpassA117–464%-0.02
anubisC83–538%-0.01
trainD62–433%-0.04
dust2—31–233%-0.05
vertigo—21–150%-0.04
cache—10–10%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 24). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,082Matches
51%Win rate
0.99Avg K/D
72.4ADR
34%Headshot %

Clutches & streaks

39%1v1 clutch win
19%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Ancient7854%1.0515.8
Anubis5652%0.9615.1
Nuke5553%1.0514.0
Inferno5351%1.0415.7
Mirage1741%0.8213.3
Train1464%1.0216.5
Overpass1127%0.6910.8
Dust2944%0.6711.3

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.

16.2%Headshot accuracy
29.3%Accuracy (enemy spotted)
30.7%Spray accuracy
70.9%Counter-strafing
11.5°Preaim
727msReaction time
16.3%T opening success
36.4%CT opening success
0.49Enemies flashed / flash
7.7%Flash assists
9.39HE damage / grenade
6.07Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 727.1238ms — above the 700ms mark we flag

    Aim Training →
  2. 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 0.4941 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 16.2538% — below the 40% mark we flag

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 24 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–5-0.0410%9 Sept →
dust210–13-0.0426%4 Aug →
dust213–11-0.0716%4 Aug →
mirage13–6-0.0124%4 Aug →
nuke5–13-0.0415%22 Jul →
inferno6–13-0.0527%16 Jun →
ancient13–100.0120%16 Jun →
anubis13–16-0.0717%12 Jun →
nuke13–9-0.0119%7 Jun →
mirage8–13-0.0312%7 Jun →
anubis13–8-0.0212%23 May →
ancient7–13-0.0323%19 May →
ancient6–13-0.0512%2 May →
cache11–13-0.029%2 May →
mirage4–13-0.0127%24 Apr →
nuke13–16-0.0713%8 Mar →
ancient9–13-0.0411%6 Mar →
overpass4–13-0.0716%1 Mar →
nuke13–7-0.0222%1 Mar →
overpass13–60.0413%9 Feb →
anubis7–13-0.0013%8 Feb →
dust210–13-0.0318%6 Feb →
overpass13–7-0.0427%6 Feb →
inferno13–100.0118%2 Feb →
anubis13–50.0612%2 Feb →
ancient8–13-0.059%2 Feb →
inferno13–50.1017%2 Feb →
nuke13–90.0011%1 Feb →
inferno7–13-0.016%23 Jan →
anubis13–80.0116%23 Jan →
nuke16–12-0.0226%23 Jan →
ancient5–130.0110%23 Jan →
anubis11–13-0.019%23 Jan →
anubis10–13-0.0816%22 Jan →
vertigo13–8-0.0514%20 Jan →
vertigo8–13-0.0216%20 Jan →
inferno9–13-0.0721%13 Jan →
nuke13–70.0033%13 Jan →
anubis10–130.019%13 Jan →
inferno13–10-0.0321%7 Jan →
mirage9–130.0124%4 Jan →
ancient4–13-0.047%4 Jan →
ancient5–13-0.047%29 Dec →
overpass4–13-0.0123%29 Dec →
nuke7–130.0613%29 Dec →
ancient9–13-0.0413%17 Dec →
mirage8–13-0.0124%17 Dec →
mirage13–100.0017%9 Dec →
overpass10–130.0226%24 Nov →
ancient13–5-0.0218%24 Nov →
inferno4–13-0.078%24 Nov →
mirage13–50.0124%7 Nov →
inferno4–13-0.0410%7 Nov →
ancient13–60.0216%6 Nov →
mirage10–13-0.0510%6 Nov →
train13–70.0217%6 Nov →
inferno13–40.038%6 Nov →
train7–13-0.070%6 Nov →
nuke9–13-0.0424%6 Nov →
ancient13–9-0.0411%5 Nov →
mirage13–9-0.0419%5 Nov →
overpass13–50.0214%5 Nov →
nuke13–90.017%5 Nov →
ancient4–13-0.108%5 Nov →
inferno13–11-0.0422%5 Nov →
ancient5–13-0.0815%4 Nov →
nuke13–60.0118%4 Nov →
ancient11–13-0.0212%4 Nov →
train2–13-0.0925%3 Nov →
nuke15–150.0113%3 Nov →
inferno16–13-0.0820%3 Nov →
overpass10–13-0.0119%3 Nov →
ancient6–13-0.0414%3 Nov →
overpass13–5-0.0215%3 Nov →
nuke13–9-0.0216%3 Nov →
ancient4–13-0.0715%3 Nov →
nuke7–13-0.0710%2 Nov →
mirage13–11-0.0231%2 Nov →
ancient9–13-0.0416%1 Nov →
inferno11–13-0.0818%1 Nov →
train13–7-0.0423%1 Nov →
overpass13–100.0317%1 Nov →
ancient8–13-0.047%1 Nov →
mirage7–130.0010%1 Nov →
inferno8–13-0.0411%1 Nov →
train14–160.0014%1 Nov →
ancient10–13-0.0314%1 Nov →
nuke10–3-0.047%30 Oct →
nuke13–70.0721%30 Oct →
train11–13-0.0625%30 Oct →
ancient13–80.0012%30 Oct →
overpass13–9-0.0614%30 Oct →
mirage13–9-0.0115%30 Oct →
overpass13–4-0.0723%30 Oct →
nuke16–14-0.046%30 Oct →
ancient9–40.0210%30 Oct →
nuke10–13-0.0412%30 Oct →
ancient7–13-0.0323%30 Oct →
inferno13–40.0512%30 Oct →
mirage13–11-0.1013%30 Oct →

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 →

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