patson daka

patson daka — CS2 Stats

HR76561198201032018[U:1:240766290]Steam profile ↗1 game ban

947Tracked matches48%Win rate2021Tracked since
CSDB Rating5.4 DevelopingPositional Player
FaceitLevel 9 · 1,731 ELOTop 20.7% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then — still 947 tracked matches. Play, then come back: the next observation lands here.

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. 70 days played since 14 Aug 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 16,048 +136 14 Aug15 Dec · 6 days played
15,37516,048peak 16,04814 Aug15 Dec
16,048Peak Premier in tracked matches
1,731Highest Faceit ELO seen on CSDB
70Days played since 2025-08-14

Faceit ELO

  • At peak — 1,731
  • Next: Level 9 at 1,751 20 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-16
  • Level 7 first seen 2026-09-16

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.GGpatson dakaFACEITLevel 9 · 1,731 ELOSTANDINGTop 20.7% of rankedPEAK ELO1,731csdb.gg/stats

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Performance scores

Aim72
Positioning50
Utility36

0–100 skill scores via Leetify.

Recent form

STEADY52471Last 10052%Win rateLLWLWWWLWL

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −0.1pp headshot accuracy · +24ms 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

  • 23 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 25%
  • Avg reaction 650ms

Last 10

  • 55 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 25%
  • Avg reaction 696ms

Last 20

  • 911 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 25%
  • Avg reaction 684ms

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 PlayerPositioning stands above the rest of this profile (+1.1 against its own average).

Aim7.2
Utility3.6
Positioning5.0
Opening Duels3.4
Clutch3.6

Excellent counter-strafingLimited 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

jL

Plays most like jL 91% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

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. 675ms 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

Aim7.2
Positioning5.0
Utility3.6
Mechanics8.8
Opening Duels2.4
Win Impact4.4

Composite 5.4/10 (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-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time668ms+10ms
first ⅓ avg 658ms → last ⅓ avg 668ms
Headshot accuracy24.8%+2.5%
first ⅓ avg 22.3% → last ⅓ avg 24.8%

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

0.26Best match rating · 9–0 · inferno, 18 Mar
57%Best headshot accuracy · 3–13 · mirage, 24 Feb
461msFastest reaction time · 4–13 · inferno, 14 Aug
13–2Biggest win · nuke, 5 Jan

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
48In matches decided by ≤2 rounds
12Overtime games

Map breakdown

dust2Best map · 67% over 15mirageWeakest map · 47% over 38
MapGradePlayedRecordWin rateAvg rating
mirageB38182047%-0.02
dust2S1510567%0.02
nukeB126650%0.01
infernoB105550%0.02
anubisA95456%0.01
ancientS64267%-0.01
trainB63350%-0.00
overpass41325%0.00

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (47% over 38). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,173Matches
50%Win rate
1.01Avg K/D
75.8ADR
54%Headshot %

Clutches & streaks

38%1v1 clutch win
22%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage37249%0.9815.0
Dust236052%1.0215.8
Anubis10547%1.0516.1
Inferno10451%0.9514.3
Nuke8246%0.9815.4
Overpass5452%1.0016.4
Train4967%1.2215.7
Ancient4751%0.9415.5

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.

25.0%Headshot accuracy
33.6%Accuracy (enemy spotted)
36.2%Spray accuracy
89.5%Counter-strafing
10.8°Preaim
675msReaction time
37.0%T opening success
42.6%CT opening success
0.45Enemies flashed / flash
5.6%Flash assists
11.82HE damage / grenade
3.98Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4544 — below the 0.5 mark we flag

    Grenade Lineups
  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 36.9699% — below the 40% mark we flag

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.

47% win rate across 38 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage6–13-0.0822%20 Jul
anubis6–130.0136%13 May
inferno13–10-0.0616%27 Apr
inferno17–190.0225%22 Apr
overpass13–60.0227%21 Apr
inferno13–5-0.0731%20 Apr
anubis13–80.0522%18 Apr
inferno6–13-0.0530%18 Apr
dust213–10-0.0720%16 Apr
mirage4–13-0.0820%16 Apr
overpass8–13-0.0033%15 Apr
dust219–160.0225%13 Apr
mirage10–13-0.0424%11 Apr
nuke13–8-0.0122%8 Apr
dust25–13-0.0430%5 Apr
mirage13–90.0137%2 Apr
mirage6–13-0.0320%1 Apr
mirage13–6-0.0329%31 Mar
dust26–13-0.1217%22 Mar
mirage10–130.0214%22 Mar
mirage11–13-0.0822%22 Mar
inferno9–00.2625%18 Mar
inferno9–40.2114%18 Mar
anubis13–100.0217%18 Mar
mirage16–13-0.0124%18 Mar
anubis14–16-0.0136%16 Mar
ancient13–9-0.0231%13 Mar
mirage13–5-0.0127%13 Mar
mirage7–13-0.0124%13 Mar
nuke15–15-0.0127%10 Mar
mirage10–13-0.0120%9 Mar
nuke13–10-0.0127%9 Mar
mirage4–13-0.0927%7 Mar
anubis8–13-0.0135%6 Mar
ancient13–10-0.0029%6 Mar
mirage13–90.0228%6 Mar
mirage13–70.0422%5 Mar
dust213–50.0424%2 Mar
dust211–130.0627%2 Mar
ancient16–120.0223%1 Mar
nuke5–13-0.0224%28 Feb
ancient9–13-0.0328%26 Feb
anubis13–80.0221%26 Feb
mirage13–60.0831%26 Feb
nuke13–100.0729%24 Feb
mirage3–13-0.0957%24 Feb
mirage11–13-0.0318%17 Feb
anubis0–10-0.0519%17 Feb
anubis13–8-0.0318%17 Feb
inferno2–13-0.0620%14 Feb
dust213–90.0324%10 Feb
ancient11–13-0.0426%7 Feb
mirage7–13-0.0221%4 Feb
nuke9–130.0428%3 Feb
dust216–130.0525%2 Feb
ancient13–70.0330%29 Jan
anubis13–30.1234%29 Jan
mirage13–80.0424%26 Jan
mirage7–13-0.0422%24 Jan
mirage15–19-0.0411%21 Jan
nuke13–8-0.0024%18 Jan
nuke9–13-0.0129%5 Jan
nuke13–20.0614%5 Jan
train0–11-0.1120%28 Dec
dust213–20.0427%17 Dec
mirage16–14-0.0220%15 Dec
inferno13–80.1225%15 Dec
mirage9–130.0036%15 Dec
train13–110.0226%8 Dec
mirage5–13-0.0310%8 Dec
train8–130.0319%6 Dec
mirage13–50.0519%6 Dec
mirage16–130.0114%5 Dec
dust222–200.0224%4 Dec
dust213–70.0119%1 Dec
mirage13–50.0522%25 Nov
nuke10–13-0.0418%22 Nov
train0–13-0.0125%21 Nov
dust26–130.0825%20 Nov
nuke13–80.0742%20 Nov
mirage2–5-0.0950%16 Nov
nuke6–130.0430%16 Nov
train13–90.0733%15 Nov
mirage13–100.0111%15 Nov
inferno2–12-0.0212%12 Nov
overpass6–13-0.0320%8 Nov
dust216–130.0223%3 Nov
dust27–130.0831%2 Nov
mirage13–100.0732%18 Oct
overpass11–130.0121%9 Sept
train13–8-0.0118%7 Sept
mirage11–13-0.0419%5 Sept
dust213–20.0311%5 Sept
mirage8–13-0.0712%5 Sept
mirage13–110.0219%2 Sept
mirage13–10-0.0717%1 Sept
mirage13–60.0214%27 Aug
mirage5–13-0.0822%27 Aug
mirage13–8-0.0524%18 Aug
inferno4–13-0.0920%14 Aug

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 →