ZipZappy_dk

ZipZappy_dk — CS2 Stats

DK76561198052043297[U:1:91777569]Steam profile ↗✓ No bans

224Tracked matches47%Win rate2020Tracked since
1,622Hours in CS2Hrs last 2 wks
CSDB Rating2.2 LearningPositional Player
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (33 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 890 → 890
+3Tracked matches · now 224
−6.7ppWin rate · 53.3% → 46.7%

Rating over time

Premier CS Rating: 5,360 +361 6 Sept – 23 Sept · 4 days played
4,9995,360peak 5,3606 Sept23 Sept
5,477Peak Premier in tracked matches
890Highest Faceit ELO seen on CSDB
53Days played since 2022-08-28

Faceit ELO

  • At peak — 890
  • Next: Level 4 at 901 — 11 to go
  • Reached: Level 3 · Level 2
  • Level 3 first seen 2026-09-23
  • Level 2 first seen 2026-09-23

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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches3——
Win rate0%——
K/D0.65——
Headshot %44%——

Measured 23 Sep 2026 → 26 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Share this profile

CSDB.GGZipZappy_dkPEAK ELO890csdb.gg/stats

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Performance scores

Aim18
Positioning40
Utility34

0–100 skill scores via Leetify.

Recent form

COLD37–59–4Last 10037%Win rateLLLLWLWWLL

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · −0.6pp headshot accuracy · +54ms reaction

Win rate down 20pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 12%
  • Avg reaction 672ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 10%
  • Avg reaction 683ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 11%
  • Avg reaction 656ms

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 (+1 against its own average).

Aim1.8
Utility3.4
Positioning4.0
Opening Duels0.9
Clutch3.6

Limited 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

Twistzz

Plays most like Twistzz 64% 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

Reaction time. 647ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 55% 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

Aim1.8
Positioning4.0
Utility3.4
Mechanics1.0
Opening Duels0.7
Win Impact3.9

Composite 2.2/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04+0.00
first ⅓ avg -0.05 → last ⅓ avg -0.04
Reaction time650ms−137ms
first ⅓ avg 787ms → last ⅓ avg 650ms
Headshot accuracy11.9%+0.2%
first ⅓ avg 11.8% → last ⅓ avg 11.9%

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

0.06Best match rating · 13–7 · inferno, 5 Sept →
32%Best headshot accuracy · 13–10 · nuke, 30 Aug →
453msFastest reaction time · 11–1 · nuke, 6 Sept →
13–1Biggest win · inferno, 30 Dec →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L4Current streak
9–3In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 48% over 25anubisWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
nukeB2512–1348%-0.05
infernoC2510–1540%-0.07
ancientD195–1426%-0.04
mirageD92–722%-0.08
dust2D62–433%-0.05
cacheC52–340%-0.04
anubisD51–420%-0.07
golden—21–150%-0.04
train—22–0100%-0.08
vertigo—10–10%-0.07
workshop/123769103/de_mirage_ce—10–10%-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

36,176Lifetime kills
0.93K/D
2,137Matches
41.7%Match win rate
29.8%Headshot %
22.2%Shot accuracy · Top 1% of tracked players
5,262MVPs
718Hours (in match)
2,312Bombs planted
358Bombs defused

Most-used weapons

AWP8,652
AK-475,020
AUG1,283
MP91,275
SG 5531,179

Lifetime map wins

5,065inferno
1,629nuke
1,119vertigo
925dust2
834train
333cbble
288lake
131office

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

Faceit stats

Combat

275Matches
47%Win rate
0.73Avg K/D
44.9ADR
27%Headshot %

Clutches & streaks

38%1v1 clutch win
6%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Anubis1127%0.488.2
Ancient967%0.437.3
Nuke825%0.388.0
Inferno540%0.458.6
Dust2560%0.376.0
Mirage333%0.617.0
Cache250%0.628.0
Train1100%0.213.0

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.

12.3%Headshot accuracy
31.9%Accuracy (enemy spotted)
31.3%Spray accuracy
54.7%Counter-strafing
14.3°Preaim
647msReaction time
29.5%T opening success
35.2%CT opening success
0.49Enemies flashed / flash
2.4%Flash assists
7.54HE damage / grenade
4.43Flashes / 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 14.2545° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.3374% — below the 15% 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 0.4854 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Anubis

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache2–13-0.0518%20 Oct →
mirage6–13-0.0520%20 Oct →
dust23–13-0.0616%20 Oct →
ancient9–13-0.020%20 Sept →
nuke13–11-0.098%20 Sept →
nuke10–13-0.0914%20 Sept →
ancient13–6-0.040%17 Sept →
mirage13–11-0.076%17 Sept →
inferno6–13-0.0512%17 Sept →
nuke4–13-0.0310%13 Sept →
nuke15–19-0.0615%10 Sept →
inferno13–5-0.0412%10 Sept →
cache13–8-0.036%6 Sept →
inferno13–30.0010%6 Sept →
inferno8–13-0.048%6 Sept →
nuke11–1-0.055%6 Sept →
anubis8–13-0.066%6 Sept →
cache10–13-0.0523%6 Sept →
cache11–13-0.0513%6 Sept →
ancient16–12-0.0411%6 Sept →
nuke13–7-0.058%6 Sept →
anubis13–6-0.049%6 Sept →
inferno13–70.0620%5 Sept →
nuke13–20.0112%5 Sept →
nuke8–13-0.028%3 Sept →
mirage6–13-0.0529%3 Sept →
ancient3–13-0.069%3 Sept →
ancient5–13-0.0718%3 Sept →
nuke13–10-0.0432%30 Aug →
cache13–11-0.0311%30 Aug →
inferno6–13-0.076%30 Aug →
nuke13–8-0.0318%27 Aug →
ancient16–12-0.043%27 Aug →
inferno8–13-0.090%27 Aug →
ancient3–13-0.0311%24 Aug →
nuke7–13-0.108%23 Aug →
ancient6–13-0.025%23 Aug →
inferno6–13-0.028%4 Jun →
ancient0–13-0.130%2 Jun →
nuke0–13-0.0626%25 May →
ancient13–100.0310%25 May →
inferno1–13-0.126%10 May →
inferno9–13-0.1014%3 May →
nuke7–13-0.026%29 Apr →
inferno5–13-0.1215%29 Apr →
nuke13–5-0.087%28 Apr →
inferno9–13-0.0312%28 Apr →
nuke13–7-0.0210%5 Apr →
dust24–13-0.0627%28 Feb →
nuke6–13-0.054%12 Feb →
anubis12–12-0.067%12 Feb →
anubis2–13-0.1114%12 Feb →
inferno16–12-0.0215%1 Feb →
anubis15–15-0.068%28 Jan →
ancient10–13-0.019%28 Jan →
mirage13–8-0.090%25 Jan →
ancient5–13-0.0211%25 Jan →
mirage6–13-0.119%24 Jan →
mirage3–13-0.106%21 Jan →
inferno13–11-0.0715%21 Jan →
golden13–6-0.0314%21 Jan →
inferno3–9-0.1912%12 Jan →
inferno5–9-0.1920%6 Jan →
inferno0–9-0.1720%6 Jan →
ancient11–13-0.047%4 Jan →
nuke2–7-0.040%30 Dec →
dust25–13-0.0611%30 Dec →
inferno13–10.023%30 Dec →
inferno13–5-0.0317%30 Dec →
ancient4–13-0.0421%27 Dec →
inferno5–13-0.0611%27 Dec →
nuke9–13-0.070%27 Dec →
ancient9–13-0.0510%25 Dec →
dust27–13-0.0714%23 Dec →
nuke5–10.0313%23 Dec →
ancient10–13-0.0113%22 Dec →
inferno13–110.0225%22 Dec →
mirage15–15-0.090%20 Dec →
dust213–11-0.0414%20 Dec →
ancient13–60.0111%18 Dec →
vertigo4–13-0.0710%18 Dec →
dust213–11-0.0011%17 Dec →
ancient5–13-0.0719%17 Dec →
nuke4–13-0.0321%16 Dec →
inferno13–2-0.0422%16 Dec →
train13–4-0.0811%15 Dec →
golden12–12-0.058%11 Dec →
mirage4–13-0.094%8 Dec →
inferno13–11-0.0810%6 Dec →
ancient8–13-0.047%26 Nov →
mirage6–13-0.064%19 Nov →
nuke4–13-0.098%18 Nov →
inferno4–9-0.1924%2 Nov →
train13–10-0.0714%28 Oct →
nuke13–11-0.0711%14 Sept →
inferno9–13-0.028%12 Sept →
nuke1–13-0.0920%12 Sept →
nuke13–1-0.050%11 Sept →
workshop/123769103/de_mirage_ce14–16-0.0215%2 Aug →
nuke16–60.0213%28 Aug →

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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