ziiffi

ziiffi — CS2 Stats

76561198031360721[U:1:71094993]Steam profile ↗✓ No bans

923Tracked matches60%Win rate2020Tracked since
CSDB Rating6.0 SolidSupport
Premier CS Rating17,714Purple band · top ~17.6% of ranked players (population est.)
FaceitLevel 7 · 945 ELOTop 42.3% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Oct 2026 (7 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 17,714 → 17,714
0Faceit ELO · 945 → 945
+5Tracked matches · now 923
0.0ppWin rate · 60.0% → 60.0%

Rating over time

Premier CS Rating: 17,714 +2,448 6 Apr – 4 Oct · 20 days played
14,99918,682peak 18,6826 Apr4 Oct
Faceit ELO: 945 +0 14 Sept – 4 Oct · 4 observations
945945peak 94514 Sept4 Oct
18,682Peak Premier in tracked matches
945Highest Faceit ELO seen on CSDB
44Days played since 2026-04-06

Faceit ELO

  • At peak — 945
  • Next: Level 5 at 1,051 — 106 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-09-14
  • Level 3 first seen 2026-09-14

Premier CS Rating

  • 968 below peak (18,682)
  • +580 over 30 days · improving
  • Next: Pink band at 20,000 — 2,286 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-14
  • Blue band first seen 2026-09-14

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.GGziiffiFACEITLevel 7 · 945 ELOSTANDINGTop 42.3% of rankedPREMIER17,714 · Purple bandPEAK ELO945csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim67
Positioning51
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY54–45–1Last 10054%Win rateWLLLWLWWLL

Last 10 vs previous 10: −30pp win rate · +0.01 avg rating · −0.6pp headshot accuracy · −28ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 10%
  • Avg reaction 649ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 10%
  • Avg reaction 590ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 11%
  • Avg reaction 604ms

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: Support — Utility contribution stands above the rest of this profile (+1.2 against its own average).

Aim6.7
Utility5.5
Positioning5.1
Opening Duels1.9
Clutch4.6

Strong T-side opener

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

ZywOo

Plays most like ZywOo 89% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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

CT openings. Opening success drops from 51% on T to 30% on CT — first contacts on the defending side are being lost.

Reaction time. 581ms 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

Aim6.7
Positioning5.1
Utility5.5
Mechanics7.2
Opening Duels2.6
Win Impact8.3

Composite 6.0/10 (Solid), 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 rating-0.02−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.02
Reaction time573ms−33ms
first ⅓ avg 605ms → last ⅓ avg 573ms
Headshot accuracy11.5%−1.2%
first ⅓ avg 12.7% → last ⅓ avg 11.5%

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

0.16Best match rating · 13–5 · ancient, 3 Aug →
32%Best headshot accuracy · 7–13 · nuke, 27 Jul →
438msFastest reaction time · 13–5 · inferno, 10 Sept →
13–2Biggest win · mirage, 23 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
8–11In matches decided by ≤2 rounds
17Overtime games

Map breakdown

infernoBest map · 67% over 24mirageWeakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
infernoS2416–867%0.00
ancientB2010–1050%-0.00
anubisB147–750%-0.01
mirageC125–742%-0.02
nukeA127–558%-0.01
dust2B115–645%-0.01
cacheB63–350%0.00
overpass—11–0100%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (42% over 12). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

363Matches
53%Win rate
1.02Avg K/D
75.2ADR
36%Headshot %

Clutches & streaks

43%1v1 clutch win
22%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno7662%1.0414.5
Ancient6458%1.0515.9
Nuke5853%0.9814.2
Dust24840%1.0515.0
Anubis4553%0.9415.2
Mirage3647%1.0515.9
Overpass1644%1.1215.9
Cache1155%1.0013.2

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.

11.3%Headshot accuracy
36.9%Accuracy (enemy spotted)
41.3%Spray accuracy
82.5%Counter-strafing
11.0°Preaim
581msReaction time
50.5%T opening success
29.5%CT opening success
0.59Enemies flashed / flash
7.7%Flash assists
7.73HE damage / grenade
6.38Flashes / 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. 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 11.2641% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

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

    CT opening duels 29.5378% — 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.

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–100.0212%1 Oct →
mirage9–130.026%29 Sept →
inferno14–160.0013%28 Sept →
anubis9–130.0113%28 Sept →
mirage13–10-0.027%26 Sept →
dust28–13-0.0414%26 Sept →
anubis13–50.044%26 Sept →
cache13–60.0114%25 Sept →
dust24–13-0.0214%25 Sept →
inferno6–13-0.067%25 Sept →
dust23–13-0.144%24 Sept →
mirage13–20.0915%23 Sept →
nuke13–10-0.0417%23 Sept →
dust217–190.0113%22 Sept →
inferno13–11-0.037%21 Sept →
inferno13–16-0.0413%20 Sept →
mirage12–2-0.0413%19 Sept →
nuke16–120.0315%19 Sept →
inferno13–7-0.017%19 Sept →
anubis13–7-0.037%19 Sept →
ancient13–9-0.0212%18 Sept →
mirage10–13-0.0715%18 Sept →
cache5–13-0.048%17 Sept →
ancient13–7-0.058%17 Sept →
anubis13–10-0.0210%14 Sept →
inferno13–110.0818%14 Sept →
inferno13–11-0.0010%10 Sept →
inferno13–5-0.0122%10 Sept →
inferno13–9-0.0310%10 Sept →
dust210–13-0.058%9 Sept →
mirage13–16-0.0717%8 Sept →
ancient7–13-0.0417%8 Sept →
anubis9–13-0.0513%8 Sept →
inferno13–50.0214%8 Sept →
inferno13–70.029%4 Sept →
nuke6–13-0.087%3 Sept →
ancient13–9-0.0114%3 Sept →
anubis13–90.0013%3 Sept →
ancient9–130.0013%3 Sept →
nuke22–20-0.029%2 Sept →
cache4–13-0.0320%2 Sept →
anubis17–19-0.0011%2 Sept →
inferno13–160.0121%2 Sept →
anubis16–14-0.0311%30 Aug →
ancient10–13-0.018%29 Aug →
anubis11–13-0.019%28 Aug →
ancient8–13-0.064%28 Aug →
nuke13–50.065%28 Aug →
inferno13–6-0.0110%28 Aug →
ancient11–13-0.036%28 Aug →
mirage13–7-0.0212%28 Aug →
inferno13–50.026%28 Aug →
inferno16–14-0.0110%27 Aug →
dust213–70.008%27 Aug →
anubis9–130.0012%27 Aug →
cache13–60.0510%27 Aug →
mirage11–13-0.019%27 Aug →
anubis13–7-0.0316%25 Aug →
inferno13–80.0217%25 Aug →
dust213–70.069%20 Aug →
inferno4–130.0410%20 Aug →
mirage6–13-0.0316%18 Aug →
anubis14–16-0.0211%18 Aug →
ancient13–80.0310%17 Aug →
inferno16–130.0310%17 Aug →
nuke13–10-0.023%17 Aug →
ancient13–10-0.0218%17 Aug →
inferno10–130.0415%17 Aug →
anubis13–90.0211%17 Aug →
cache8–13-0.0310%16 Aug →
inferno11–130.0119%3 Aug →
inferno13–60.0322%3 Aug →
ancient13–50.1614%3 Aug →
mirage6–13-0.058%2 Aug →
dust27–13-0.0410%2 Aug →
ancient13–110.029%2 Aug →
ancient13–6-0.0017%31 Jul →
ancient11–13-0.072%31 Jul →
nuke13–16-0.068%31 Jul →
mirage9–13-0.0411%30 Jul →
inferno4–13-0.0611%28 Jul →
nuke13–70.0223%28 Jul →
dust216–130.0311%28 Jul →
ancient13–10-0.0216%27 Jul →
nuke13–110.029%27 Jul →
nuke7–13-0.0632%27 Jul →
ancient17–19-0.019%30 Jun →
ancient13–30.1022%30 Jun →
ancient8–13-0.0611%29 Jun →
dust213–100.0411%15 May →
inferno13–40.0416%15 May →
cache13–90.0514%14 May →
overpass13–9-0.013%27 Apr →
inferno13–8-0.0511%27 Apr →
nuke7–13-0.0319%27 Apr →
ancient9–13-0.016%26 Apr →
dust213–90.0515%23 Apr →
anubis14–16-0.0216%23 Apr →
ancient4–130.060%20 Apr →
nuke15–15-0.0110%6 Apr →

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 →

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