Porkkis

Porkkis — CS2 Stats

76561198102523042[U:1:142257314]Steam profile ↗✓ No bans

671Tracked matches52%Win rate2020Tracked since
4,805Hours in CS1Hrs last 2 wks
CSDB Rating7.3 StrongPositional Player
Premier CS Rating26,492Top 5% of 213,399 CSDB-tracked playersRed band · top ~2.3% of ranked players (population est.)
CSDB Leaderboard#9996 of 259984 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (48 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 671 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 26,492 +1,746 28 Sept – 18 Sept · 21 days played
23,56028,255peak 28,25528 Sept18 Sept
28,463Peak Premier in tracked matches
46Days played since 2025-09-28

Premier CS Rating

  • 1,763 below peak (28,255)
  • +2,932 over 90 days
  • Next: Gold band at 30,000 — 3,508 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-18
  • Pink band first seen 2026-09-18

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 10 among CSDB-tracked players (n=30,986), 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 10 median
Headshot rate60.1%50.9%
Shot accuracy16.7%13.7%
Kill/death ratio0.981.09
Match win rate43.9%48.4%

Share this profile

CSDB.GGPorkkisFACEITLevel 10STANDINGTop 12.4% of rankedPREMIER26,492 · Red 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

Aim90
Positioning67
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY58–39–3Last 10058%Win rateLLWWLLLWLW

Last 10 vs previous 10: −40pp win rate · −0.03 avg rating · −4.4pp headshot accuracy · −57ms 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 0.05
  • Avg headshot accuracy 16%
  • Avg reaction 441ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 19%
  • Avg reaction 469ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 21%
  • Avg reaction 497ms

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 (+1.3 against its own average).

Aim9.0
Utility6.4
Positioning6.7
Opening Duels4.7
Clutch3.6

Sharp aimerStrong T-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

Twistzz

Plays most like Twistzz 96% 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 90 — the mechanical foundation is a clear strength.

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

Aim9.0
Positioning6.7
Utility6.4
Mechanics6.4
Opening Duels4.1
Win Impact5.6

Composite 7.3/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.06−0.01
first ⅓ avg 0.07 → last ⅓ avg 0.06
Reaction time516ms−34ms
first ⅓ avg 550ms → last ⅓ avg 516ms
Headshot accuracy20.8%+0.9%
first ⅓ avg 19.9% → last ⅓ avg 20.8%

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

0.24Best match rating · 1–2 · mirage, 1 Jul →
43%Best headshot accuracy · 13–3 · nuke, 24 Oct →
281msFastest reaction time · 13–10 · mirage, 26 Jul →
13–1Biggest win · mirage, 1 Apr →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
2–8In matches decided by ≤2 rounds
5Overtime games

Map breakdown

overpassBest map · 86% over 7ancientWeakest map · 35% over 17
MapGradePlayedRecordWin rateAvg rating
mirageS2114–767%0.08
ancientC176–1135%0.04
nukeS1711–665%0.06
dust2A127–558%0.06
cacheC83–538%0.06
overpassS76–186%0.08
trainS54–180%0.04
palacio—43–175%0.09
vertigo—20–20%0.01
anubis—22–0100%0.07
inferno—21–150%0.05
alpine—11–0100%0.04
golden—10–10%-0.01
agency—10–10%0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (35% over 17). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

243,727Lifetime kills
0.98K/D
6,028Matches
43.9%Match win rate
60.1%Headshot % · Top 25% of Level 10 players
16.7%Shot accuracy · Top 25% of Level 10 players
17,097MVPs
5,861Hours (in match)
5,330Bombs planted
2,378Bombs defused

Most-used weapons

AK-47107,280
AWP18,460
SG 5539,844
AUG4,271
SSG 082,245
P2502,203

Lifetime map wins

5,805nuke
4,927inferno
4,179dust2
2,905train
2,020vertigo
1,424cbble
553lake
370office

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

Faceit stats

Combat

631Matches
58%Win rate
1.63Avg K/D
96.7ADR
48%Headshot %

Clutches & streaks

38%1v1 clutch win
27%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient4850%1.4720.4
Mirage4161%1.6317.8
Nuke3281%2.4721.1
Anubis2864%1.6218.7
Vertigo1856%1.6221.6
Overpass1070%1.7823.3
Inferno743%1.4320.7
Cache560%2.6822.4

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.

20.7%Headshot accuracy
39.6%Accuracy (enemy spotted)
44.5%Spray accuracy
78.9%Counter-strafing
7.7°Preaim
517msReaction time
52.7%T opening success
40.2%CT opening success
0.62Enemies flashed / flash
9.3%Flash assists
8.14HE damage / grenade
9.93Flashes / match

Recommended for you

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.

35% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage8–13-0.0114%15 Sept →
ancient7–130.0614%15 Sept →
mirage13–100.0521%12 Sept →
nuke13–40.058%12 Sept →
dust25–60.1024%7 Sept →
cache7–13-0.0125%5 Sept →
nuke3–30.0518%5 Sept →
dust213–70.0819%3 Sept →
vertigo5–13-0.0021%29 Aug →
train13–30.0529%6 Aug →
ancient7–130.0322%6 Aug →
cache13–90.0422%6 Aug →
mirage13–100.080%26 Jul →
ancient13–70.0630%26 Jul →
nuke13–60.0433%22 Jul →
mirage13–40.1419%22 Jul →
mirage13–30.1123%22 Jul →
dust24–130.0341%22 Jul →
dust213–60.0814%20 Jul →
nuke13–80.0832%20 Jul →
ancient5–13-0.0323%3 Jul →
dust213–60.1228%3 Jul →
mirage6–130.0121%3 Jul →
cache13–40.1717%1 Jul →
cache13–40.0812%1 Jul →
mirage1–20.2436%1 Jul →
cache10–130.0415%25 Jun →
cache12–120.0216%4 May →
cache11–130.1311%29 Apr →
cache8–13-0.0111%29 Apr →
alpine13–70.0415%23 Apr →
mirage13–70.0529%16 Apr →
nuke11–130.0523%16 Apr →
dust24–13-0.0230%15 Apr →
ancient4–130.0214%15 Apr →
mirage13–10.1319%1 Apr →
ancient8–13-0.0312%1 Apr →
overpass13–10-0.025%26 Mar →
nuke13–5-0.0311%26 Mar →
ancient14–160.0320%22 Mar →
nuke12–160.0317%20 Mar →
dust213–100.1226%13 Mar →
vertigo3–130.0228%25 Feb →
ancient13–50.0623%25 Feb →
dust25–13-0.0422%24 Feb →
anubis13–100.0214%24 Feb →
nuke9–130.1126%22 Feb →
mirage13–100.0627%21 Feb →
dust213–90.0312%21 Feb →
overpass13–40.1718%13 Feb →
ancient5–130.0126%13 Feb →
nuke13–40.079%25 Jan →
anubis11–60.1221%25 Jan →
ancient13–80.0413%25 Jan →
dust213–80.0439%21 Jan →
train13–100.0710%21 Jan →
palacio4–130.0419%21 Jan →
mirage13–50.1121%17 Jan →
nuke8–13-0.0312%17 Jan →
mirage16–140.0215%11 Dec →
ancient13–60.019%11 Dec →
mirage2–11-0.1020%18 Nov →
nuke6–13-0.0122%4 Nov →
mirage13–20.1118%4 Nov →
overpass10–130.0632%30 Oct →
nuke13–100.0716%30 Oct →
inferno13–80.0614%30 Oct →
train11–130.0310%26 Oct →
ancient13–90.0419%25 Oct →
mirage5–130.0414%25 Oct →
mirage10–130.0712%24 Oct →
overpass13–100.1115%24 Oct →
nuke13–30.1943%24 Oct →
mirage13–100.0521%23 Oct →
inferno13–160.0424%23 Oct →
ancient5–130.0025%23 Oct →
ancient7–130.0213%22 Oct →
train16–140.0012%22 Oct →
train13–100.0413%8 Oct →
ancient11–130.1119%8 Oct →
overpass13–80.0822%8 Oct →
dust213–60.1124%8 Oct →
nuke13–70.1117%8 Oct →
golden6–13-0.019%8 Oct →
palacio13–60.0922%8 Oct →
nuke13–100.1023%7 Oct →
nuke13–40.0320%5 Oct →
mirage13–30.0833%5 Oct →
ancient13–60.1021%5 Oct →
mirage13–60.1416%5 Oct →
overpass13–60.0926%5 Oct →
dust28–130.0520%5 Oct →
mirage10–130.0613%5 Oct →
agency12–120.0516%5 Oct →
ancient12–120.0623%2 Oct →
palacio13–40.1533%2 Oct →
palacio13–30.1111%2 Oct →
nuke13–50.0524%1 Oct →
mirage13–80.1626%28 Sept →
overpass13–70.0816%28 Sept →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10500 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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