Zippox

Zippox — CS2 Stats

NO76561197989767109[U:1:29501381]Steam profile ↗✓ No bans

3,470Tracked matches37%Win rate2020Tracked since
CSDB Rating5.4 DevelopingPositional Player
CSDB Leaderboard#85753 of 245684 tracked
FaceitLevel 8 · 1,890 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 43 days played since 28 May 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 19,657 -1,395 11 Jun – 28 Jun · 6 days played
19,65721,052peak 21,05211 Jun28 Jun
21,169Peak Premier in tracked matches
1,890Highest Faceit ELO seen on CSDB
43Days played since 2026-05-28

Faceit ELO

  • At peak — 1,890
  • Next: Level 10 at 2,001 — 111 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6

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

Share this profile

CSDB.GGZippoxFACEITLevel 8 · 1,890 ELOSTANDINGTop 31.2% of rankedPEAK ELO1,890csdb.gg/stats

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Performance scores

Aim67
Positioning71
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY44–55–1Last 10044%Win rateLWWLWWLLLW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · +1.3pp headshot accuracy · +73ms reaction

Win rate up 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

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 556ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 566ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 529ms

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 (+2.8 against its own average).

Aim6.7
Utility4.7
Positioning7.1
Opening Duels3.2
Clutch2.0

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

iM

Plays most like iM 81% 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 →

CSDB Rating breakdown

Aim6.7
Positioning7.1
Utility4.7
Mechanics6.5
Opening Duels5.1
Win Impact0.6

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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time517ms−86ms
first ⅓ avg 603ms → last ⅓ avg 517ms
Headshot accuracy19.0%−2.4%
first ⅓ avg 21.3% → last ⅓ avg 19.0%

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

0.13Best match rating · 13–5 · nuke, 27 Jul →
39%Best headshot accuracy · 6–13 · dust2, 12 Jun →
391msFastest reaction time · 13–4 · inferno, 28 Aug →
13–3Biggest win · mirage, 18 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
7–11In matches decided by ≤2 rounds
16Overtime games

Map breakdown

infernoBest map · 54% over 24dust2Weakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
infernoB2413–1154%-0.01
ancientC239–1439%-0.02
cacheC167–944%-0.01
nukeC146–843%0.00
anubisC125–742%-0.02
dust2D50–50%-0.04
mirage—43–175%0.00
overpass—21–150%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,128Matches
50%Win rate
0.94Avg K/D
73.5ADR
45%Headshot %

Clutches & streaks

30%1v1 clutch win
19%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Dust219856%0.9113.9
Ancient18845%0.9215.0
Inferno17656%0.9514.1
Nuke13457%1.0015.2
Anubis11543%0.9215.0
Mirage10035%0.8814.1
Train3661%0.9314.4
Cache3148%0.8912.9

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.

18.3%Headshot accuracy
30.1%Accuracy (enemy spotted)
29.9%Spray accuracy
79.4%Counter-strafing
8.8°Preaim
518msReaction time
51.6%T opening success
49.6%CT opening success
0.41Enemies flashed / flash
4.6%Flash assists
11.33HE damage / grenade
5.69Flashes / 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 0.407 — below the 0.5 mark we flag

    Grenade Lineups →
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.

0% win rate across 5 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
inferno7–130.0118%22 Sept →
inferno13–100.0215%19 Sept →
ancient13–70.0025%19 Sept →
anubis10–13-0.0521%19 Sept →
cache13–50.0520%18 Sept →
mirage13–30.0424%18 Sept →
nuke2–13-0.0921%18 Sept →
ancient7–13-0.0231%18 Sept →
ancient14–16-0.059%18 Sept →
nuke16–14-0.0215%12 Sept →
dust211–13-0.0214%11 Sept →
nuke2–13-0.0735%11 Sept →
anubis19–170.0417%11 Sept →
cache9–13-0.1011%11 Sept →
ancient13–11-0.0116%11 Sept →
inferno19–220.0217%9 Sept →
nuke11–13-0.0125%9 Sept →
cache12–16-0.0622%6 Sept →
dust213–16-0.0318%1 Sept →
inferno19–17-0.0310%1 Sept →
anubis8–13-0.0123%29 Aug →
cache11–13-0.0510%29 Aug →
ancient14–16-0.0121%29 Aug →
inferno13–90.0325%29 Aug →
anubis5–13-0.106%29 Aug →
ancient5–13-0.0623%29 Aug →
inferno13–4-0.0413%28 Aug →
ancient10–13-0.0516%28 Aug →
cache13–80.0421%22 Aug →
anubis4–13-0.0530%22 Aug →
inferno9–13-0.0417%22 Aug →
nuke8–13-0.0120%22 Aug →
inferno13–10-0.0219%21 Aug →
ancient11–13-0.0225%21 Aug →
cache9–13-0.0029%21 Aug →
inferno13–80.0421%18 Aug →
ancient3–13-0.0522%18 Aug →
ancient13–70.0028%16 Aug →
inferno13–9-0.0621%14 Aug →
ancient7–13-0.0621%13 Aug →
inferno13–7-0.0111%13 Aug →
inferno5–130.0133%9 Aug →
mirage13–60.0119%9 Aug →
ancient10–130.0124%9 Aug →
cache13–9-0.0517%9 Aug →
ancient12–16-0.0119%8 Aug →
anubis7–13-0.0333%8 Aug →
cache13–30.1010%8 Aug →
inferno6–13-0.039%8 Aug →
cache13–10-0.0417%7 Aug →
anubis13–8-0.0121%7 Aug →
ancient13–100.0316%4 Aug →
ancient3–13-0.0922%4 Aug →
ancient19–170.0230%3 Aug →
inferno13–16-0.0120%3 Aug →
cache13–7-0.0430%3 Aug →
ancient13–30.0717%2 Aug →
cache11–130.0824%2 Aug →
nuke13–40.0318%29 Jul →
anubis16–120.0932%27 Jul →
inferno13–90.0123%27 Jul →
cache2–13-0.0226%27 Jul →
nuke13–50.1322%27 Jul →
inferno11–130.0025%26 Jul →
anubis13–11-0.0218%26 Jul →
inferno5–13-0.0413%24 Jul →
cache10–13-0.078%23 Jul →
nuke11–13-0.0118%23 Jul →
ancient5–13-0.0321%22 Jul →
cache11–13-0.054%21 Jul →
cache9–130.0322%21 Jul →
ancient5–130.0118%20 Jul →
inferno4–13-0.0810%20 Jul →
anubis13–80.0012%4 Jul →
nuke13–90.0618%4 Jul →
ancient13–7-0.0232%3 Jul →
inferno13–8-0.0019%3 Jul →
nuke13–90.0429%2 Jul →
inferno13–6-0.0529%28 Jun →
inferno11–130.0225%26 Jun →
overpass13–90.0419%21 Jun →
anubis13–16-0.0522%21 Jun →
ancient19–17-0.0425%21 Jun →
cache13–7-0.0325%19 Jun →
inferno13–6-0.0119%19 Jun →
ancient7–13-0.0414%19 Jun →
nuke13–40.1031%15 Jun →
inferno7–13-0.0729%14 Jun →
nuke3–13-0.0637%13 Jun →
anubis15–15-0.0416%13 Jun →
dust210–13-0.0113%13 Jun →
overpass10–13-0.0624%13 Jun →
nuke6–13-0.0311%12 Jun →
dust26–13-0.0639%12 Jun →
nuke12–16-0.0222%11 Jun →
mirage13–90.0020%11 Jun →
inferno13–90.0820%11 Jun →
dust27–13-0.0525%11 Jun →
mirage9–13-0.0521%28 May →
ancient13–90.0514%28 May →

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 →