quackhead

quackhead — CS2 Stats

US76561199226865618[U:1:1266599890]Steam profile ↗✓ No bans

1,072Tracked matches34%Win rate2023Tracked since
CSDB Rating5.3 DevelopingPositional Player
Premier CS Rating15,652Purple band · top ~25.8% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Oct 2026 (3 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: 15,652 +652 30 Aug – 29 Oct · 18 days played
14,26516,203peak 16,20330 Aug29 Oct
16,203Peak Premier in tracked matches
23Days played since 2026-08-30

Premier CS Rating

  • 551 below peak (16,203)
  • +635 over 30 days · improving
  • Next: Pink band at 20,000 — 4,348 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-30
  • Blue band first seen 2026-08-30

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

Share this profile

CSDB.GGquackheadFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER15,652 · Purple bandcsdb.gg/stats

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Performance scores

Aim64
Positioning68
Utility33

0–100 skill scores via Leetify.

Recent form

COLD45–51–4Last 10045%Win rateWLWLLLLLLL

Last 10 vs previous 10: −50pp win rate · −0.06 avg rating · −0.7pp headshot accuracy · +58ms reaction

Win rate down 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

  • 2–3 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 23%
  • Avg reaction 661ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 25%
  • Avg reaction 614ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 26%
  • Avg reaction 585ms

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 (+2.1 against its own average).

Aim6.4
Utility3.3
Positioning6.8
Opening Duels3.9

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 79% 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

Strengths

T openings. 62% T opening-duel success — entries that actually open the round.

Areas to improve

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

CT openings. Opening success drops from 62% on T to 44% on CT — first contacts on the defending side are being lost.

Reaction time. 592ms 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

Aim6.4
Positioning6.8
Utility3.3
Mechanics6.6
Opening Duels5.8
Win Impact0.0

Composite 5.3/10 (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 rating0.04+0.03
first ⅓ avg 0.02 → last ⅓ avg 0.04
Reaction time600ms−63ms
first ⅓ avg 663ms → last ⅓ avg 600ms
Headshot accuracy25.3%−0.1%
first ⅓ avg 25.4% → last ⅓ avg 25.3%

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

0.33Best match rating · 9–0 · inferno, 2 Oct →
50%Best headshot accuracy · 9–0 · inferno, 2 Oct →
359msFastest reaction time · 8–5 · rush_001, 30 Sept →
13–0Biggest win · inferno, 24 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
8–5In matches decided by ≤2 rounds
3Overtime games

Map breakdown

anubisBest map · 73% over 11ancientWeakest map · 0% over 7
MapGradePlayedRecordWin rateAvg rating
dust2B2311–1248%0.03
nukeS1711–665%0.04
mirageD132–1115%-0.02
infernoD124–833%0.03
anubisS118–373%0.06
cacheB105–550%-0.00
ancientD70–70%0.03
vertigoC52–340%0.03
poseidon—11–0100%0.06
rush_001—11–0100%0.15

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (0% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3Matches
100%Win rate
1.66Avg K/D
—ADR
51%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
3Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Overpass2100%1.8615.5
Anubis1100%1.2520.0

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.

24.6%Headshot accuracy
30.5%Accuracy (enemy spotted)
28.4%Spray accuracy
79.9%Counter-strafing
10.2°Preaim
592msReaction time
62.4%T opening success
44.3%CT opening success
0.58Enemies flashed / flash
3.4%Flash assists
5.42HE damage / grenade
7.82Flashes / match

Recommended for you

Spend your practice time on Ancient

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

0% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–60.0320%29 Oct →
cache5–13-0.0615%29 Oct →
dust213–60.0345%25 Oct →
mirage7–130.0222%21 Oct →
cache6–13-0.0213%21 Oct →
anubis4–130.0128%21 Oct →
mirage11–130.0325%17 Oct →
ancient5–130.0713%16 Oct →
dust26–130.0033%16 Oct →
cache6–13-0.1039%8 Oct →
inferno6–90.0329%8 Oct →
poseidon9–70.0628%8 Oct →
nuke13–90.1027%7 Oct →
anubis13–20.1226%7 Oct →
ancient13–160.0221%7 Oct →
anubis13–50.1030%7 Oct →
inferno13–4-0.0319%7 Oct →
inferno15–150.0630%7 Oct →
nuke13–20.0836%7 Oct →
dust213–100.0616%7 Oct →
nuke5–130.0526%6 Oct →
mirage2–13-0.0426%6 Oct →
dust22–130.0220%5 Oct →
anubis13–30.0925%5 Oct →
inferno8–130.0125%5 Oct →
dust25–13-0.0121%4 Oct →
dust22–130.0423%4 Oct →
dust210–130.0522%4 Oct →
nuke9–00.3222%3 Oct →
inferno2–9-0.0527%2 Oct →
inferno9–00.3350%2 Oct →
inferno6–9-0.0712%2 Oct →
ancient7–130.0524%2 Oct →
cache6–13-0.0128%30 Sept →
mirage8–13-0.0023%30 Sept →
dust213–100.0318%30 Sept →
nuke2–13-0.0717%30 Sept →
inferno3–13-0.0727%30 Sept →
rush_0018–50.1520%30 Sept →
inferno3–13-0.1018%30 Sept →
mirage9–13-0.0015%30 Sept →
ancient7–13-0.0423%30 Sept →
nuke3–2-0.0429%30 Sept →
inferno9–60.1024%30 Sept →
ancient10–13-0.0430%29 Sept →
dust213–60.1122%29 Sept →
dust213–60.0729%28 Sept →
mirage11–13-0.0131%28 Sept →
nuke13–10-0.0122%27 Sept →
anubis13–80.0621%27 Sept →
mirage1–13-0.1118%27 Sept →
dust213–90.0926%27 Sept →
dust213–110.0014%26 Sept →
dust213–11-0.0218%26 Sept →
nuke16–120.0530%26 Sept →
dust211–130.0723%25 Sept →
mirage13–11-0.0520%25 Sept →
anubis13–90.0718%25 Sept →
dust213–50.0217%25 Sept →
nuke6–130.0926%24 Sept →
inferno13–00.108%24 Sept →
anubis13–50.0229%24 Sept →
vertigo8–130.0826%24 Sept →
vertigo13–30.0924%24 Sept →
mirage9–50.0331%24 Sept →
cache13–80.1117%24 Sept →
cache9–13-0.0719%24 Sept →
ancient8–130.0931%24 Sept →
vertigo4–130.0035%24 Sept →
vertigo2–13-0.0447%23 Sept →
vertigo13–9-0.0046%23 Sept →
dust213–110.0316%23 Sept →
nuke13–5-0.0228%23 Sept →
ancient7–130.0523%23 Sept →
cache13–40.0016%23 Sept →
anubis10–130.1025%23 Sept →
cache13–60.0128%23 Sept →
dust213–80.0623%23 Sept →
dust29–130.0140%23 Sept →
anubis2–13-0.0338%23 Sept →
nuke13–20.0641%23 Sept →
mirage5–13-0.0316%22 Sept →
nuke6–13-0.0418%22 Sept →
inferno8–80.0719%22 Sept →
mirage10–130.0219%22 Sept →
dust212–12-0.0138%21 Sept →
anubis13–110.0220%21 Sept →
cache13–100.1026%21 Sept →
dust27–130.0026%21 Sept →
dust29–13-0.0318%21 Sept →
dust212–120.0114%21 Sept →
nuke13–5-0.0619%21 Sept →
nuke0–2-0.020%21 Sept →
mirage1–13-0.0325%21 Sept →
dust29–130.0610%21 Sept →
mirage10–13-0.0533%20 Sept →
cache13–90.0228%20 Sept →
nuke11–13-0.0326%20 Sept →
nuke13–30.1030%20 Sept →
anubis13–110.1016%20 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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