Kaczor Donald

Kaczor Donald — CS2 Stats

76561198406442895[U:1:446177167]Steam profile ↗✓ No bans

1,320Tracked matches40%Win rate2020Tracked since
CSDB Rating4.9 DevelopingPositional Player
Premier CS Rating16,735Purple band · top ~21.5% of ranked players (population est.)
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Nov 2026 (6 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 16,735 -1,739 10 Sept – 9 Nov · 24 days played
16,73520,000peak 20,00010 Sept9 Nov
20,100Peak Premier in tracked matches
33Days played since 2026-09-10

Premier CS Rating

  • 3,265 below peak (20,000)
  • -2,000 over 30 days · declining
  • Next: Pink band at 20,000 — 3,265 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-10
  • Blue band first seen 2026-09-10

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

Share this profile

CSDB.GGKaczor DonaldFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER16,735 · Purple bandcsdb.gg/stats

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Performance scores

Aim71
Positioning61
Utility37

0–100 skill scores via Leetify.

Recent form

STEADY46–52–2Last 10046%Win rateLLWWWLWLLW

Last 10 vs previous 10: +30pp win rate · +0.00 avg rating · +2.5pp headshot accuracy · −54ms reaction

Win rate up 30pp 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 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 462ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 473ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 500ms

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 (+2.3 against its own average).

Aim7.1
Utility3.7
Positioning6.1
Opening Duels3.3
Clutch2.2

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 88% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

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

Counter-strafing. Only 66% 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

Aim7.1
Positioning6.1
Utility3.7
Mechanics3.5
Opening Duels2.9
Win Impact1.7

Composite 4.9/10 (Developing), 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 rating0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time515ms−50ms
first ⅓ avg 564ms → last ⅓ avg 515ms
Headshot accuracy19.6%+4.0%
first ⅓ avg 15.6% → 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

0.17Best match rating · 13–3 · ancient, 7 Oct →
40%Best headshot accuracy · 0–2 · dust2, 4 Oct →
328msFastest reaction time · 10–7 · office, 11 Nov →
14–0Biggest win · cache, 26 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
5–11In matches decided by ≤2 rounds
12Overtime games

Map breakdown

ancientBest map · 63% over 16dust2Weakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
anubisA2213–959%0.01
ancientA1610–663%0.01
mirageD134–931%-0.02
officeC114–736%0.01
dust2D112–918%0.01
nukeA116–555%0.01
cacheC104–640%0.01
infernoC52–340%-0.02
shelter—11–0100%0.11

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

290Matches
54%Win rate
1.04Avg K/D
83.3ADR
46%Headshot %

Clutches & streaks

31%1v1 clutch win
34%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage4360%1.1317.5
Anubis2669%1.2818.2
Ancient2152%1.0517.2
Dust21753%1.0416.6
Inferno743%0.9717.1
Nuke683%1.4119.7
Vertigo333%0.9110.0
Cache367%0.8613.3

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.

18.8%Headshot accuracy
36.4%Accuracy (enemy spotted)
40.8%Spray accuracy
66.0%Counter-strafing
10.3°Preaim
510msReaction time
44.8%T opening success
38.0%CT opening success
0.51Enemies flashed / flash
6.3%Flash assists
5.86HE damage / grenade
7.07Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 38.0165% — below the 40% mark we flag

Spend your practice time on Dust 2

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

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
office9–13-0.0122%12 Nov →
office2–13-0.0624%12 Nov →
shelter13–10.1118%12 Nov →
office10–7-0.0320%11 Nov →
office13–60.0720%11 Nov →
office6–13-0.0521%9 Nov →
office11–2-0.0625%9 Nov →
mirage11–13-0.0118%9 Nov →
office11–130.0320%9 Nov →
office13–50.0733%5 Nov →
office7–13-0.0432%5 Nov →
office5–130.0719%5 Nov →
office11–130.1128%4 Nov →
ancient5–13-0.0413%4 Nov →
cache11–13-0.0114%4 Nov →
dust23–13-0.0420%3 Nov →
anubis7–13-0.0421%3 Nov →
nuke13–30.0218%3 Nov →
mirage7–13-0.0319%3 Nov →
anubis13–50.0513%3 Nov →
mirage11–13-0.0311%2 Nov →
anubis16–14-0.0417%2 Nov →
ancient13–90.0511%2 Nov →
dust20–13-0.0110%30 Oct →
nuke3–13-0.0223%30 Oct →
dust27–130.0413%30 Oct →
dust211–130.0622%30 Oct →
anubis16–13-0.049%30 Oct →
ancient13–8-0.0510%29 Oct →
cache16–12-0.0626%29 Oct →
anubis8–130.0428%28 Oct →
anubis13–50.0728%28 Oct →
mirage13–9-0.0219%28 Oct →
dust211–130.0321%27 Oct →
ancient13–30.0516%27 Oct →
dust216–14-0.0220%27 Oct →
anubis13–50.0828%26 Oct →
cache14–00.028%26 Oct →
ancient13–4-0.0113%26 Oct →
anubis13–11-0.0215%25 Oct →
ancient11–13-0.0816%25 Oct →
nuke8–130.0827%24 Oct →
cache13–40.0633%24 Oct →
ancient13–10-0.068%24 Oct →
mirage13–50.0119%24 Oct →
ancient10–13-0.0512%23 Oct →
anubis8–13-0.0117%23 Oct →
nuke10–13-0.0515%23 Oct →
anubis10–13-0.0413%22 Oct →
nuke13–60.1016%22 Oct →
inferno4–13-0.075%22 Oct →
cache12–16-0.0522%21 Oct →
nuke4–13-0.067%18 Oct →
mirage10–130.0016%18 Oct →
ancient7–130.0019%18 Oct →
mirage13–9-0.038%17 Oct →
ancient13–20.1515%17 Oct →
dust29–13-0.0515%17 Oct →
cache8–130.0716%17 Oct →
nuke13–70.0815%17 Oct →
dust213–10.1530%17 Oct →
dust26–13-0.0220%15 Oct →
cache4–13-0.0323%15 Oct →
anubis8–13-0.0511%14 Oct →
ancient13–10-0.0124%14 Oct →
nuke13–50.0719%8 Oct →
anubis5–13-0.0012%8 Oct →
ancient13–30.1712%7 Oct →
anubis12–160.0422%7 Oct →
anubis10–13-0.0113%6 Oct →
nuke4–13-0.0615%6 Oct →
ancient13–1-0.0016%6 Oct →
mirage15–150.0117%6 Oct →
inferno16–13-0.0021%5 Oct →
anubis13–10-0.0315%5 Oct →
ancient13–30.0712%5 Oct →
mirage9–13-0.0816%5 Oct →
dust20–2-0.0240%4 Oct →
dust214–16-0.0213%4 Oct →
cache7–130.0519%4 Oct →
anubis7–13-0.0318%3 Oct →
nuke13–30.0619%3 Oct →
mirage5–13-0.0412%2 Oct →
ancient9–13-0.067%2 Oct →
anubis13–70.0020%2 Oct →
mirage9–13-0.0316%2 Oct →
inferno5–130.0114%1 Oct →
nuke16–14-0.0413%1 Oct →
anubis13–30.0313%1 Oct →
inferno13–7-0.0119%30 Sept →
cache13–8-0.028%30 Sept →
mirage13–11-0.098%30 Sept →
inferno10–13-0.0319%29 Sept →
anubis13–100.0015%29 Sept →
mirage9–130.0212%29 Sept →
anubis13–20.078%28 Sept →
anubis13–30.0512%28 Sept →
cache15–150.0815%28 Sept →
anubis13–9-0.0118%27 Sept →
ancient11–130.0517%27 Sept →

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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