Tri. Porkski

Tri. Porkski — CS2 Stats

FI76561198813107704[U:1:852841976]Steam profile ↗✓ No bans

1,410Tracked matches60%Win rate2020Tracked since
CSDB Rating6.0 SolidClutch Specialist
Premier CS Rating22,544Top 25% of 183,637 CSDB-tracked playersPink band · top ~5.7% of ranked players (population est.)
CSDB Leaderboard#44438 of 228861 tracked
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Aug 2026 (20 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 22,544 → 22,544
+62Tracked matches · now 1,410
−2.1ppWin rate · 62.1% → 60.0%
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. 36 days played since 29 Jul 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 22,544 +1,568 1 Aug30 Aug · 13 days played
20,53722,921peak 22,9211 Aug30 Aug
22,921Peak Premier in tracked matches
36Days played since 2026-07-29

Premier CS Rating

  • 377 below peak (22,921)
  • +1,568 over 30 days · improving
  • Next: Red band at 25,000 2,456 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-30
  • Purple band first seen 2026-08-30

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

Share this profile

CSDB.GGTri. PorkskiFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER22,544 · 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

Aim66
Positioning48
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY59347Last 10059%Win rateLTWTWLWWWL

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating · −5.8pp headshot accuracy · −60ms reaction

Win rate up 20pp 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

  • 212 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 12%
  • Avg reaction 542ms

Last 10

  • 532 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 14%
  • Avg reaction 503ms

Last 20

  • 893 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 533ms

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: Clutch SpecialistLate-round 1vX conversion stands above the rest of this profile (+3 against its own average).

Aim6.6
Utility5.6
Positioning4.8
Opening Duels1.7
Clutch8.0

Strong CT-side openerReliable in 1v1s

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

NiKo

Plays most like NiKo 83% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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 49% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim6.6
Positioning4.8
Utility5.6
Mechanics6.7
Opening Duels2.3
Win Impact8.3

Composite 6.0/10 (Solid), 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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time529ms−32ms
first ⅓ avg 561ms → last ⅓ avg 529ms
Headshot accuracy14.8%+1.3%
first ⅓ avg 13.5% → last ⅓ avg 14.8%

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

0.16Best match rating · 13–2 · vertigo, 5 Sept
33%Best headshot accuracy · 13–2 · inferno, 28 Aug
375msFastest reaction time · 3–13 · ancient, 27 Aug
13–2Biggest win · vertigo, 5 Sept

Across the last 100 tracked matches.

Highlights

7Longest win streak
74In matches decided by ≤2 rounds
3Overtime games

Map breakdown

mirageBest map · 72% over 18infernoWeakest map · 30% over 23
MapGradePlayedRecordWin rateAvg rating
infernoD2371630%-0.00
dust2A1811761%0.03
mirageS1813572%0.03
cacheS1410471%-0.00
nukeS128467%0.04
anubisB84450%0.01
vertigo220100%0.08
ancient21150%-0.00
train110100%-0.02
italy110100%0.05
overpass110100%0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (30% over 23). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

53Matches
64%Win rate
1.33Avg K/D
80.6ADR
41%Headshot %

Clutches & streaks

60%1v1 clutch win
28%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Dust21283%1.2715.3
Mirage1155%1.3313.3
Inferno1040%1.1913.0
Nuke771%1.5716.7
Anubis667%1.1411.7
Cache667%1.0415.2
Vertigo1100%4.5018.0

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.

14.0%Headshot accuracy
29.6%Accuracy (enemy spotted)
36.3%Spray accuracy
80.2%Counter-strafing
8.9°Preaim
525msReaction time
26.7%T opening success
48.7%CT opening success
0.57Enemies flashed / flash
4.2%Flash assists
9.99HE damage / grenade
6.58Flashes / 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 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.0356% — below the 15% mark we flag

    Aim Training
  2. 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 26.6695% — below the 40% mark we flag

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.

30% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis10–13-0.0620%17 Sept
dust212–120.1020%16 Sept
mirage13–40.117%16 Sept
inferno12–120.017%16 Sept
cache13–7-0.038%15 Sept
nuke11–130.0411%15 Sept
mirage13–80.0115%14 Sept
mirage13–70.1321%11 Sept
anubis13–11-0.007%11 Sept
inferno7–9-0.0222%11 Sept
inferno7–13-0.0616%11 Sept
train13–8-0.0211%11 Sept
dust213–70.0316%10 Sept
inferno9–130.0211%9 Sept
anubis1–13-0.0322%8 Sept
dust27–130.0721%8 Sept
inferno12–12-0.0425%8 Sept
inferno0–70.0022%7 Sept
anubis2–13-0.0129%7 Sept
mirage13–90.0721%7 Sept
italy13–40.0514%7 Sept
cache12–12-0.058%7 Sept
inferno7–10.0422%7 Sept
mirage10–30.0713%7 Sept
dust213–11-0.036%7 Sept
mirage6–13-0.0311%7 Sept
anubis13–50.037%5 Sept
vertigo13–20.1614%5 Sept
cache13–90.0222%4 Sept
mirage9–130.0311%4 Sept
dust212–120.004%3 Sept
mirage13–9-0.0011%2 Sept
dust213–90.1412%2 Sept
cache13–60.0213%2 Sept
nuke12–10.0613%1 Sept
anubis4–13-0.0014%1 Sept
mirage13–50.0017%31 Aug
dust213–100.0816%30 Aug
dust213–30.0915%30 Aug
cache13–60.0912%30 Aug
dust211–13-0.0019%28 Aug
inferno13–2-0.0533%28 Aug
nuke13–90.0312%27 Aug
cache13–4-0.036%27 Aug
ancient3–13-0.044%27 Aug
vertigo13–10-0.0015%27 Aug
ancient13–30.0327%26 Aug
mirage13–40.0010%26 Aug
dust212–12-0.0114%26 Aug
cache13–40.002%26 Aug
inferno13–20.0710%26 Aug
cache4–13-0.056%25 Aug
anubis13–20.0514%25 Aug
overpass13–110.066%25 Aug
cache13–20.052%25 Aug
inferno8–13-0.0226%25 Aug
cache13–110.038%20 Aug
inferno8–13-0.0613%20 Aug
nuke13–50.1124%20 Aug
cache5–13-0.070%20 Aug
nuke13–90.0232%20 Aug
inferno7–13-0.0510%19 Aug
dust213–110.0217%19 Aug
inferno9–130.1011%18 Aug
dust29–0-0.0315%18 Aug
mirage9–130.0413%16 Aug
nuke13–80.125%16 Aug
inferno10–130.1112%13 Aug
nuke9–13-0.0617%12 Aug
inferno9–13-0.058%12 Aug
mirage13–30.1113%12 Aug
nuke13–30.0813%11 Aug
dust213–11-0.046%11 Aug
inferno13–8-0.0123%11 Aug
inferno13–100.0122%10 Aug
cache13–100.0215%10 Aug
nuke13–4-0.009%10 Aug
inferno7–130.0716%9 Aug
cache13–16-0.039%9 Aug
dust214–160.0213%9 Aug
inferno13–7-0.066%9 Aug
mirage8–13-0.0211%9 Aug
anubis13–90.086%7 Aug
nuke7–00.0623%7 Aug
mirage7–13-0.0624%7 Aug
dust213–70.0116%7 Aug
inferno8–40.0620%6 Aug
inferno12–160.0114%5 Aug
mirage13–90.0312%5 Aug
nuke5–13-0.0515%3 Aug
dust27–130.0014%3 Aug
dust213–60.0111%2 Aug
mirage13–80.0314%2 Aug
nuke12–120.034%2 Aug
inferno8–13-0.0610%2 Aug
inferno4–13-0.0512%2 Aug
mirage13–110.0619%1 Aug
cache13–20.0016%1 Aug
mirage13–90.047%1 Aug
dust213–30.0214%29 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 →