Porsboi

Porsboi — CS2 Stats

76561198974885046[U:1:1014619318]Steam profile ↗✓ No bans

971Tracked matches47%Win rate2020Tracked since
CSDB Rating5.0 DevelopingPositional Player
CSDB Leaderboard#90681 of 251800 tracked
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Aug 2026 (48 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,089 → 1,089
+22Tracked matches · now 971
−5.0ppWin rate · 51.7% → 46.7%

Rating over time

Premier CS Rating: 19,426 +2,106 21 Feb – 28 Aug · 24 days played
16,45019,426peak 19,42621 Feb28 Aug
19,464Peak Premier in tracked matches
1,089Highest Faceit ELO seen on CSDB
42Days played since 2026-02-21

Faceit ELO

  • At peak — 1,089
  • Next: Level 6 at 1,201 — 112 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-08-28
  • Level 4 first seen 2026-08-28

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.GGPorsboiPEAK ELO1,089csdb.gg/stats

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Performance scores

Aim71
Positioning55
Utility37

0–100 skill scores via Leetify.

Recent form

HOT47–47–6Last 10047%Win rateWLWLWWWWWL

Last 10 vs previous 10: +50pp win rate · +0.02 avg rating · +0.7pp headshot accuracy · −8ms reaction

Win rate up 50pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 463ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 531ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 535ms

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 (+2.2 against its own average).

Aim7.1
Utility3.7
Positioning5.5
Opening Duels3.0
Clutch1.0

Limited 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 95% 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

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

Reaction time. 594ms 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

Aim7.1
Positioning5.5
Utility3.7
Mechanics6.3
Opening Duels4.1
Win Impact3.9

Composite 5.0/10 (Developing), 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 -0.01 → last ⅓ avg -0.02
Reaction time574ms−33ms
first ⅓ avg 607ms → last ⅓ avg 574ms
Headshot accuracy19.6%+2.4%
first ⅓ avg 17.2% → last ⅓ avg 19.6%

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

0.20Best match rating · 9–6 · poseidon, 29 Sept →
42%Best headshot accuracy · 4–13 · mirage, 23 Sept →
383msFastest reaction time · 4–8 · rush_001, 4 Oct →
13–3Biggest win · vertigo, 2 May →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

rush_001Best map · 80% over 5mirageWeakest map · 33% over 21
MapGradePlayedRecordWin rateAvg rating
mirageD217–1433%-0.01
dust2C135–838%-0.01
infernoC125–742%-0.02
ancientA116–555%-0.01
nukeA106–460%-0.01
rush_001S54–180%-0.01
vertigoC52–340%-0.01
anubisS54–180%-0.00
cache—42–250%-0.04
poseidon—32–167%0.01
overpass—32–167%0.01
italy—20–20%-0.01
office—21–150%-0.02
debris—10–10%-0.08
sanctum—10–10%-0.04
warden—10–10%-0.05
alpine—11–0100%-0.08

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 21). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

259Matches
49%Win rate
0.79Avg K/D
82.2ADR
44%Headshot %

Clutches & streaks

25%1v1 clutch win
18%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1354%0.9715.2
Nuke1173%1.2418.6
Inferno967%0.9514.2
Ancient862%1.3416.4
Dust2450%0.809.8
Anubis2100%0.8319.0
Vertigo10%0.8016.0

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.

18.4%Headshot accuracy
35.0%Accuracy (enemy spotted)
38.5%Spray accuracy
78.5%Counter-strafing
9.5°Preaim
594msReaction time
49.1%T opening success
43.6%CT opening success
0.59Enemies flashed / flash
7.3%Flash assists
6.58HE damage / grenade
3.50Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.5041 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Mirage

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

33% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–8-0.046%9 Oct →
inferno11–13-0.0326%9 Oct →
nuke13–6-0.0514%6 Oct →
rush_0014–8-0.016%4 Oct →
rush_0018–7-0.0318%4 Oct →
rush_0018–6-0.1025%1 Oct →
rush_0015–1-0.0417%30 Sept →
rush_0014–00.1225%30 Sept →
poseidon9–60.2016%29 Sept →
ancient10–13-0.0227%27 Sept →
cache9–13-0.0224%23 Sept →
mirage4–13-0.0942%23 Sept →
nuke5–9-0.0816%21 Sept →
overpass9–70.0313%15 Sept →
vertigo6–90.0116%15 Sept →
nuke1–9-0.1724%15 Sept →
vertigo9–130.0812%12 Sept →
mirage7–13-0.015%12 Sept →
vertigo9–60.1214%6 Sept →
debris5–9-0.088%30 Aug →
cache1–13-0.0926%2 May →
vertigo13–3-0.0925%2 May →
cache13–100.0111%2 May →
cache13–10-0.0426%2 May →
dust213–110.0017%28 Apr →
inferno9–130.0119%27 Apr →
ancient13–5-0.028%27 Apr →
mirage13–80.0129%27 Apr →
nuke13–50.0623%27 Apr →
dust24–13-0.0638%27 Apr →
italy11–130.0310%24 Apr →
poseidon9–70.0926%24 Apr →
poseidon4–9-0.2633%24 Apr →
sanctum8–8-0.0417%24 Apr →
overpass8–8-0.0024%24 Apr →
anubis13–6-0.025%22 Apr →
inferno4–9-0.1129%20 Apr →
warden8–13-0.0523%19 Apr →
ancient13–40.0115%18 Apr →
office13–70.0119%18 Apr →
mirage11–130.0018%18 Apr →
dust29–13-0.058%16 Apr →
mirage13–50.0523%16 Apr →
ancient3–13-0.039%14 Apr →
dust29–130.0413%14 Apr →
mirage6–13-0.0324%13 Apr →
mirage13–60.0215%13 Apr →
inferno13–100.0726%13 Apr →
inferno13–100.0417%13 Apr →
inferno6–13-0.059%11 Apr →
dust215–150.0120%11 Apr →
alpine13–5-0.0813%10 Apr →
dust27–13-0.0117%10 Apr →
anubis4–13-0.0313%10 Apr →
italy5–13-0.0418%8 Apr →
office12–12-0.0529%8 Apr →
dust28–13-0.0519%8 Apr →
mirage16–140.0723%7 Apr →
mirage8–130.0516%7 Apr →
inferno13–80.0526%7 Apr →
mirage16–12-0.0219%5 Apr →
nuke16–14-0.0117%4 Apr →
inferno8–8-0.0218%4 Apr →
dust213–5-0.0118%3 Apr →
mirage11–13-0.0234%3 Apr →
inferno13–8-0.0613%3 Apr →
nuke5–13-0.0726%3 Apr →
anubis13–7-0.0118%1 Apr →
nuke10–130.0717%26 Mar →
inferno6–13-0.0023%26 Mar →
anubis13–100.0626%26 Mar →
mirage15–150.0018%25 Mar →
ancient9–13-0.0315%25 Mar →
mirage10–13-0.0112%25 Mar →
nuke16–120.0214%19 Mar →
dust210–13-0.0515%19 Mar →
mirage5–13-0.0323%19 Mar →
nuke9–10.1510%19 Mar →
vertigo2–9-0.1430%19 Mar →
ancient13–4-0.0215%18 Mar →
dust213–7-0.0419%18 Mar →
nuke13–9-0.0513%18 Mar →
mirage13–100.069%18 Mar →
ancient13–70.0627%18 Mar →
dust213–70.0218%9 Mar →
mirage3–13-0.0318%9 Mar →
ancient13–60.1015%9 Mar →
dust211–130.0622%1 Mar →
mirage6–13-0.0217%1 Mar →
mirage4–13-0.0318%1 Mar →
inferno5–13-0.0726%28 Feb →
anubis13–10-0.038%28 Feb →
overpass13–11-0.0016%28 Feb →
inferno13–9-0.0123%28 Feb →
ancient8–13-0.0514%24 Feb →
mirage8–130.029%24 Feb →
mirage3–13-0.0423%24 Feb →
dust213–7-0.0318%23 Feb →
ancient8–13-0.066%21 Feb →
ancient13–9-0.0313%21 Feb →

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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