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Don Porkleone — CS2 Stats

76561198811841656[U:1:851575928]

1,672Tracked matches60%Win rate2021Tracked since
CSDB Rating4.9 Developing
Premier CS Rating12,098Blue band · top ~43.8% of ranked players (population est.)
CSDB Leaderboard#34333 of 50298 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGDon PorkleoneFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER12,098 · Blue bandcsdb.gg/stats

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Performance scores

Aim48
Positioning51
Utility35

0–100 skill scores via Leetify.

Recent form

STEADY55–43–2Last 10055%Win rateWWWWLLLWLW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating

Player DNA

Aim4.8
Aggression5.5
Utility3.5
Positioning5.1
Opening Duels3.1
Clutch3.6

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 82% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; 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 55% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 739ms 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

Aim4.8
Positioning5.1
Utility3.5
Mechanics7.1
Opening Duels3.1
Win Impact8.3

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time732ms+43ms
first ⅓ avg 689ms → last ⅓ avg 732ms
Headshot accuracy17.8%−0.7%
first ⅓ avg 18.5% → last ⅓ avg 17.8%

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.

Highlights

0.10Best rating — inferno 13–5
13–3Biggest win — nuke
8Longest win streak
W4Current streak
10–6In matches decided by ≤2 rounds
6Overtime games

Map breakdown

ancientBest map · 90% over 10nukeWeakest map · 42% over 24
MapGradePlayedRecordWin rateAvg rating
mirageB2713–1448%-0.02
nukeC2410–1442%-0.03
dust2B168–850%-0.02
ancientS109–190%-0.01
anubisB105–550%-0.03
infernoS75–271%0.01
cache—44–0100%-0.01
vertigo—11–0100%0.02
overpass—10–10%-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (42% over 24). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

425Matches
50%Win rate
0.94Avg K/D
73.3ADR
40%Headshot %

Clutches & streaks

38%1v1 clutch win
19%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage8152%1.0714.9
Inferno5657%1.0415.1
Anubis4439%0.9614.8
Dust23566%0.9715.3
Vertigo2854%1.0014.6
Ancient2335%1.1517.1
Nuke1258%0.9714.3
Train1050%0.8713.6

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.

17.1%Headshot accuracy
35.1%Accuracy (enemy spotted)
38.2%Spray accuracy
82.1%Counter-strafing
12.8°Preaim
739msReaction time
30.4%T opening success
54.7%CT opening success
0.48Enemies flashed / flash
10.4%Flash assists
4.75HE damage / grenade
6.30Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.7827° — above the 12° mark we flag

    Aim Training →
  2. 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 739.1095ms — above the 700ms mark we flag

    Aim Training →
  3. 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 0.4753 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Nuke

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

42% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–11-0.037%30 Aug →
inferno13–11-0.0415%30 Aug →
cache13–5-0.0042%29 Aug →
inferno13–50.1021%29 Aug →
dust214–16-0.0623%29 Aug →
mirage9–130.0017%29 Aug →
mirage4–13-0.0613%27 Aug →
anubis13–6-0.0126%26 Aug →
inferno4–13-0.0212%25 Aug →
mirage13–10-0.0618%7 Aug →
anubis6–13-0.0718%7 Aug →
dust213–16-0.0311%6 Aug →
mirage11–13-0.0326%4 Aug →
ancient2–13-0.1121%4 Aug →
mirage4–13-0.066%3 Aug →
nuke13–8-0.0611%3 Aug →
anubis13–8-0.0314%3 Aug →
nuke13–11-0.0022%2 Aug →
nuke9–13-0.0310%2 Aug →
ancient13–90.0813%2 Aug →
mirage8–13-0.0313%1 Aug →
mirage16–12-0.0417%1 Aug →
dust213–9-0.0412%1 Aug →
nuke13–8-0.048%31 Jul →
mirage13–11-0.0224%31 Jul →
vertigo13–40.0213%30 Jul →
dust211–13-0.0916%30 Jul →
ancient9–1-0.0115%30 Jul →
nuke13–9-0.0821%30 Jul →
ancient13–4-0.0229%30 Jul →
mirage2–13-0.0532%29 Jul →
mirage13–80.0026%29 Jul →
ancient13–80.0017%29 Jul →
mirage8–13-0.0732%29 Jul →
nuke4–13-0.0517%29 Jul →
mirage1–13-0.0914%28 Jul →
nuke9–130.0121%28 Jul →
mirage13–50.0035%28 Jul →
cache13–4-0.0820%28 Jul →
ancient13–6-0.039%28 Jul →
inferno3–13-0.0612%28 Jul →
mirage10–13-0.0420%28 Jul →
dust211–13-0.0120%26 Jul →
mirage12–120.0925%26 Jul →
anubis13–4-0.0315%25 Jul →
dust213–8-0.0124%25 Jul →
mirage13–70.029%25 Jul →
cache13–80.0233%25 Jul →
nuke13–6-0.0220%16 Jul →
nuke4–130.0320%16 Jul →
cache13–70.0422%16 Jul →
dust213–90.0213%16 Jul →
nuke13–30.0428%15 Jul →
ancient13–60.0121%15 Jul →
nuke7–13-0.0126%15 Jul →
anubis7–110.0619%15 Jul →
nuke10–13-0.0420%9 Jul →
ancient13–70.0518%9 Jul →
nuke7–13-0.0614%5 Jul →
anubis2–13-0.0724%26 May →
mirage4–13-0.0720%26 May →
mirage6–13-0.0619%25 May →
nuke13–9-0.0136%21 May →
dust213–8-0.0316%21 May →
mirage7–13-0.0417%20 May →
mirage13–50.0525%20 May →
nuke11–13-0.0624%18 May →
dust29–13-0.0717%16 May →
nuke7–13-0.0429%16 May →
overpass7–13-0.0228%30 Apr →
mirage11–13-0.0131%30 Apr →
nuke3–13-0.1024%26 Apr →
nuke13–6-0.067%26 Apr →
dust213–30.0718%26 Apr →
anubis8–13-0.1217%25 Apr →
mirage13–50.0313%24 Apr →
anubis9–13-0.1019%24 Apr →
nuke3–13-0.0725%23 Apr →
anubis13–10-0.014%23 Apr →
mirage13–30.065%23 Apr →
inferno13–10-0.0217%23 Apr →
nuke15–15-0.0234%21 Apr →
dust210–13-0.0219%21 Apr →
dust26–13-0.0311%21 Apr →
nuke5–130.0214%21 Apr →
nuke13–11-0.0222%21 Apr →
dust213–8-0.0423%21 Apr →
anubis13–80.0629%21 Apr →
ancient13–10-0.0320%21 Apr →
dust213–6-0.0214%18 Apr →
mirage13–11-0.0522%18 Apr →
mirage13–11-0.0211%18 Apr →
nuke13–11-0.0430%16 Apr →
dust213–16-0.0519%16 Apr →
inferno13–80.0516%16 Apr →
nuke1–13-0.115%15 Apr →
dust213–90.0324%15 Apr →
mirage16–140.0017%15 Apr →
inferno13–70.0415%15 Apr →
mirage13–11-0.0914%14 Apr →

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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