ZERA

ZERA — CS2 Stats

JP76561197965891321[U:1:5625593]Steam profile ↗✓ No bans

1,552Tracked matches73%Win rate2025Tracked since
2,423Hours in CS1Hrs last 2 wks
CSDB Rating7.4 StrongPositional Player
Premier CS Rating18,302Purple band · top ~15.3% of ranked players (population est.)
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Oct 2026 (30 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: 18,302 -1,698 31 Jul – 16 Oct · 12 days played
17,68320,000peak 20,00031 Jul16 Oct
20,000Peak Premier in tracked matches
31Days played since 2026-07-31

Premier CS Rating

  • 1,698 below peak (20,000)
  • -768 over 30 days · declining
  • -1,698 over 90 days
  • Next: Pink band at 20,000 — 1,698 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-31
  • Purple band first seen 2026-08-31

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

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=14,948), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 7 medianLevel 8 medianvs Level 8
Headshot rate53.7%45.7%46.8%above
Shot accuracy0.6%12.7%13.0%12.4% short
Kill/death ratio0.881.051.060.18 short
Match win rate39.2%45.7%46.3%7.1% short

This profile matches the typical Level 8 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGZERAFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER18,302 · Purple bandcsdb.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

Aim85
Positioning67
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY52–37–11Last 10052%Win rateTWTLWWWWWT

Last 10 vs previous 10: −20pp win rate · +0.02 avg rating · +1.1pp headshot accuracy · +50ms reaction

Win rate down 20pp 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 (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–1–2 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 597ms

Last 10

  • 6–1–3 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 621ms

Last 20

  • 14–3–3 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 596ms

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 (+1.6 against its own average).

Aim8.5
Utility5.7
Positioning6.7
Opening Duels3.7
Clutch4.4

Sharp aimer

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 93% playstyle similarity

Most alike: positioning profile, 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

Aim. Aim score of 85 — the mechanical foundation is a clear strength.

T openings. 66% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 66% on T to 40% on CT — first contacts on the defending side are being lost.

Reaction time. 571ms 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

Aim8.5
Positioning6.7
Utility5.7
Mechanics7.1
Opening Duels5.7
Win Impact10.0

Composite 7.4/10 (Strong), 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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time564ms+18ms
first ⅓ avg 545ms → last ⅓ avg 564ms
Headshot accuracy22.8%+1.8%
first ⅓ avg 21.0% → last ⅓ avg 22.8%

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 · 6–2 · rush_001, 1 Oct →
39%Best headshot accuracy · 13–1 · train, 11 Oct →
328msFastest reaction time · 0–5 · mirage, 26 Sept →
13–1Biggest win · train, 11 Oct →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

nukeBest map · 67% over 12trainWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
dust2C2712–1544%0.01
infernoC198–1142%-0.00
mirageA1610–663%0.04
nukeS128–467%0.01
ancientB105–550%-0.00
anubisA53–260%0.04
trainC52–340%0.01
cache—42–250%0.03
rush_001—11–0100%0.13
vertigo—11–0100%-0.09

Across the last 100 tracked matches.

Lifetime stats

78,232Lifetime kills
0.88K/D
3,723Matches
39.2%Match win rate
53.7%Headshot % · Top 25% of Level 7 players
0.6%Shot accuracy
5,831MVPs
1,601Hours (in match)
3,713Bombs planted
797Bombs defused

Most-used weapons

AK-4733,929
AWP2,266
MAC-102,048
MP91,704
FAMAS1,482

Lifetime map wins

10,121dust2
4,527inferno
2,166nuke
649train
180vertigo
38italy
19lake
16office

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

Faceit stats

Combat

408Matches
51%Win rate
1.02Avg K/D
73.2ADR
47%Headshot %

Clutches & streaks

42%1v1 clutch win
20%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Dust210750%1.0815.3
Mirage10256%0.9613.9
Inferno7246%1.0015.1
Anubis4862%1.0614.7
Ancient4540%0.9515.2
Nuke2148%1.1216.5
Overpass771%1.2315.6
Cache633%1.0315.8

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.

22.2%Headshot accuracy
38.5%Accuracy (enemy spotted)
43.6%Spray accuracy
82.1%Counter-strafing
9.7°Preaim
571msReaction time
65.7%T opening success
39.7%CT opening success
0.55Enemies flashed / flash
7.5%Flash assists
6.73HE damage / grenade
12.62Flashes / 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 39.7305% — below the 40% mark we flag

Spend your practice time on Train

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
cache12–12-0.0121%21 Oct →
inferno13–90.0333%21 Oct →
mirage12–120.0826%17 Oct →
anubis14–16-0.0121%16 Oct →
dust213–60.0316%16 Oct →
dust213–30.0320%15 Oct →
mirage13–110.0219%14 Oct →
cache13–20.0438%14 Oct →
nuke13–20.0823%14 Oct →
dust212–12-0.0528%11 Oct →
train13–1-0.0739%11 Oct →
nuke16–130.0221%11 Oct →
nuke13–40.0027%10 Oct →
mirage13–80.0924%10 Oct →
dust213–70.0628%10 Oct →
dust24–13-0.0923%9 Oct →
ancient13–2-0.0117%9 Oct →
nuke13–60.0117%9 Oct →
train8–13-0.0316%9 Oct →
dust213–30.0222%9 Oct →
inferno13–50.0419%9 Oct →
inferno13–10-0.0324%8 Oct →
dust27–130.0222%8 Oct →
ancient13–11-0.0814%7 Oct →
inferno5–13-0.0523%7 Oct →
dust213–6-0.0424%7 Oct →
train5–130.0314%7 Oct →
mirage13–11-0.0116%7 Oct →
mirage9–130.0526%6 Oct →
inferno12–120.0515%5 Oct →
train13–60.0723%5 Oct →
ancient13–40.0626%5 Oct →
inferno13–8-0.0827%5 Oct →
nuke6–13-0.0728%2 Oct →
ancient2–13-0.097%2 Oct →
mirage13–50.0618%2 Oct →
dust211–30.0324%2 Oct →
dust213–5-0.0332%1 Oct →
rush_0016–20.1310%1 Oct →
dust27–13-0.0312%28 Sept →
mirage13–40.0513%28 Sept →
nuke13–3-0.0410%28 Sept →
dust211–13-0.0125%28 Sept →
nuke13–30.0418%28 Sept →
ancient12–120.0428%28 Sept →
dust211–130.0218%28 Sept →
inferno13–5-0.0116%28 Sept →
anubis13–80.0528%27 Sept →
nuke13–100.1217%27 Sept →
vertigo9–6-0.0925%27 Sept →
mirage13–50.1024%27 Sept →
dust23–13-0.0219%27 Sept →
inferno6–13-0.0424%27 Sept →
inferno4–13-0.0624%26 Sept →
mirage0–5-0.0425%26 Sept →
mirage13–10.078%26 Sept →
nuke1–13-0.0520%26 Sept →
ancient11–13-0.0611%26 Sept →
dust213–40.0412%26 Sept →
mirage13–70.0113%26 Sept →
dust212–120.0519%26 Sept →
dust25–130.0421%26 Sept →
dust213–60.0511%26 Sept →
inferno13–90.017%26 Sept →
cache12–120.0320%26 Sept →
dust28–130.0231%26 Sept →
dust213–50.0527%25 Sept →
anubis7–130.0824%25 Sept →
train8–130.0525%25 Sept →
ancient13–30.0115%25 Sept →
dust213–90.0116%25 Sept →
inferno13–70.0324%25 Sept →
mirage9–130.0125%19 Sept →
inferno10–130.0021%19 Sept →
inferno13–10-0.0326%15 Sept →
ancient13–110.0310%15 Sept →
dust210–13-0.0324%13 Sept →
dust212–12-0.0220%11 Sept →
inferno7–13-0.0231%11 Sept →
mirage6–130.0313%11 Sept →
dust213–70.0724%10 Sept →
mirage13–30.1120%10 Sept →
dust28–13-0.0232%10 Sept →
inferno12–120.1116%24 Aug →
dust212–120.0313%24 Aug →
nuke10–130.0311%19 Aug →
inferno3–5-0.027%14 Aug →
inferno10–130.0213%14 Aug →
anubis13–8-0.0211%14 Aug →
nuke4–13-0.0314%14 Aug →
inferno9–13-0.0415%11 Aug →
cache13–40.0720%10 Aug →
anubis13–50.1124%10 Aug →
nuke13–100.0625%10 Aug →
inferno12–12-0.0130%10 Aug →
dust27–13-0.0229%8 Aug →
mirage3–13-0.0825%5 Aug →
mirage13–80.0732%5 Aug →
ancient4–130.0427%31 Jul →
ancient6–130.0130%31 Jul →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.