Pakie Chan

Pakie Chan — CS2 Stats

PK76561199018532132[U:1:1058266404]Steam profile ↗✓ No bans

197Tracked matches44%Win rate2021Tracked since
148Hours in CS
CSDB Rating2.8 LearningClutch Specialist
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 3,291 +631 23 Dec – 8 Jan · 3 days played
2,6603,291peak 3,29123 Dec8 Jan
3,291Peak Premier in tracked matches
43Days played since 2025-11-19

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

Performance scores

Aim21
Positioning44
Utility17

0–100 skill scores via Leetify.

Recent form

STEADY41–49–10Last 10041%Win rateWLLTTLWWLW

Last 10 vs previous 10: +10pp win rate · +0.04 avg rating · +5.6pp headshot accuracy · −29ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 1–2–2 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 794ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 729ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 19%
  • Avg reaction 743ms

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 Specialist — Late-round 1vX conversion stands above the rest of this profile (+5 against its own average).

Aim2.1
Utility1.7
Positioning4.4
Opening Duels2.0
Clutch9.4

Reliable 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

m0NESY

Plays most like m0NESY 67% playstyle similarity

Most alike: positioning profile, 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

Reaction time. 802ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.1
Positioning4.4
Utility1.7
Mechanics4.3
Opening Duels1.2
Win Impact3.0

Composite 2.8/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×1.00 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 time780ms+18ms
first ⅓ avg 762ms → last ⅓ avg 780ms
Headshot accuracy18.5%+0.3%
first ⅓ avg 18.2% → last ⅓ avg 18.5%

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

0.15Best match rating · 13–7 · dust2, 17 Mar →
48%Best headshot accuracy · 13–11 · cache, 3 May →
523msFastest reaction time · 6–13 · vertigo, 18 Jan →
13–0Biggest win · dust2, 22 Dec →

Across the last 100 tracked matches.

Highlights

9Longest win streak
7–8In matches decided by ≤2 rounds
1Overtime games

Map breakdown

dust2Best map · 53% over 19trainWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
nukeC4317–2640%-0.03
dust2B1910–953%-0.00
mirageD103–730%-0.02
infernoC83–538%-0.03
trainD72–529%-0.00
vertigoB63–350%0.01
overpass—31–233%0.01
cache—21–150%0.04
palacio—10–10%-0.05
ancient—11–0100%-0.00

Across the last 100 tracked matches.

Lifetime stats

6,586Lifetime kills
0.83K/D
473Matches
35.5%Match win rate
49.3%Headshot % · Top 25% of tracked players
2.0%Shot accuracy
720MVPs
148Hours (in match)
312Bombs planted
58Bombs defused

Most-used weapons

Lifetime map wins

1,212nuke
585dust2
286inferno
273vertigo
111train
35office
9lake
4italy

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

Faceit stats

Combat

6Matches
33%Win rate
0.51Avg K/D
53.6ADR
40%Headshot %

Clutches & streaks

67%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Nuke250%0.448.5
Dust210%0.315.0
Mirage10%0.306.0
Inferno10%0.5013.0
Ancient1100%1.0813.0

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.

19.5%Headshot accuracy
27.4%Accuracy (enemy spotted)
28.3%Spray accuracy
69.4%Counter-strafing
11.9°Preaim
802msReaction time
29.1%T opening success
39.9%CT opening success
0.43Enemies flashed / flash
2.8%Flash assists
3.74HE damage / grenade
5.61Flashes / 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 801.5789ms — 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 0.4321 — 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 29.125% — below the 40% mark we flag

Spend your practice time on Train

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

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke13–5-0.0017%16 Jun →
nuke9–13-0.0720%16 Jun →
dust27–13-0.0418%13 May →
nuke12–12-0.0819%13 May →
cache12–120.1420%4 May →
dust20–20.000%4 May →
nuke13–4-0.0527%3 May →
cache13–11-0.0548%3 May →
nuke1–13-0.069%12 Apr →
nuke13–90.0335%11 Apr →
nuke8–13-0.0125%11 Apr →
nuke11–13-0.0421%11 Apr →
dust29–8-0.0115%11 Apr →
inferno11–13-0.080%8 Apr →
nuke13–8-0.0322%8 Apr →
train6–13-0.1013%5 Apr →
nuke13–5-0.0516%5 Apr →
dust24–13-0.0524%5 Apr →
inferno7–13-0.0921%5 Apr →
nuke1–13-0.140%5 Apr →
dust213–10.0821%31 Mar →
nuke12–12-0.0011%20 Mar →
nuke13–10-0.0917%19 Mar →
dust21–13-0.0614%19 Mar →
dust213–70.1523%17 Mar →
mirage12–120.1218%16 Mar →
nuke5–130.0316%23 Feb →
nuke5–13-0.0724%26 Jan →
mirage13–7-0.0714%26 Jan →
inferno12–120.0227%24 Jan →
nuke1–8-0.089%21 Jan →
vertigo4–13-0.0333%21 Jan →
vertigo12–120.0014%20 Jan →
nuke10–13-0.0221%20 Jan →
train1–130.0123%20 Jan →
vertigo13–2-0.0219%20 Jan →
palacio10–13-0.0512%19 Jan →
dust23–7-0.0436%19 Jan →
nuke5–13-0.0218%19 Jan →
vertigo13–20.0810%19 Jan →
train13–90.1017%18 Jan →
nuke4–4-0.0138%18 Jan →
vertigo6–130.036%18 Jan →
nuke11–13-0.1220%18 Jan →
dust211–13-0.0614%18 Jan →
vertigo13–70.0027%17 Jan →
nuke9–13-0.0131%17 Jan →
dust212–120.0228%17 Jan →
nuke11–13-0.0322%17 Jan →
nuke12–12-0.0220%17 Jan →
nuke4–9-0.0611%16 Jan →
nuke8–13-0.0229%16 Jan →
nuke1–13-0.110%15 Jan →
nuke13–6-0.0416%15 Jan →
nuke13–11-0.0212%13 Jan →
dust25–13-0.0920%9 Jan →
train13–11-0.0122%8 Jan →
mirage2–13-0.1311%8 Jan →
nuke3–130.0115%6 Jan →
train12–120.0421%4 Jan →
dust213–5-0.0728%4 Jan →
nuke13–50.0719%30 Dec →
ancient13–6-0.009%30 Dec →
mirage9–130.0315%30 Dec →
dust211–40.0919%25 Dec →
nuke13–9-0.0215%24 Dec →
train6–13-0.0421%24 Dec →
dust213–40.0122%24 Dec →
nuke7–4-0.000%23 Dec →
mirage13–30.0226%23 Dec →
nuke13–110.0133%23 Dec →
dust213–70.0420%23 Dec →
overpass13–80.0018%23 Dec →
inferno13–7-0.0217%23 Dec →
inferno13–50.0213%22 Dec →
inferno13–20.0125%22 Dec →
nuke13–60.0022%22 Dec →
dust213–0-0.0325%22 Dec →
dust211–13-0.0216%22 Dec →
nuke2–50.0412%22 Dec →
inferno8–130.0322%22 Dec →
mirage13–10-0.0120%22 Dec →
nuke5–13-0.1213%19 Dec →
nuke5–13-0.0720%15 Dec →
mirage8–13-0.0329%15 Dec →
dust213–50.0218%15 Dec →
nuke13–60.0614%14 Dec →
train15–15-0.0114%13 Dec →
nuke13–50.0425%12 Dec →
mirage7–13-0.0320%6 Dec →
nuke13–8-0.029%6 Dec →
dust213–30.0020%4 Dec →
inferno4–13-0.128%4 Dec →
mirage11–13-0.0914%4 Dec →
nuke7–13-0.0621%4 Dec →
nuke13–11-0.0121%4 Dec →
nuke2–13-0.0726%24 Nov →
overpass7–13-0.020%24 Nov →
overpass0–130.0628%20 Nov →
mirage6–13-0.0411%19 Nov →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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