Ziko Stormbolt

Ziko Stormbolt — CS2 Stats

SE76561198004735356[U:1:44469628]Steam profile ↗✓ No bans

1,120Tracked matches45%Win rate2020Tracked since
5,019Hours in CS23Hrs last 2 wks
CSDB Rating5.9 SolidPositional Player
Premier CS Rating13,188Blue band · top ~38% of ranked players (population est.)
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 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: 13,188 -1,706 29 Jul – 13 Oct · 33 days played
11,79614,894peak 14,89429 Jul13 Oct
14,999Peak Premier in tracked matches
33Days played since 2026-07-29

Premier CS Rating

  • 1,706 below peak (14,894)
  • -395 over 30 days · steady
  • -1,706 over 90 days
  • Next: Purple band at 15,000 — 1,812 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-08-31
  • Light Blue 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=14,195), 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 rate36.3%45.7%46.8%10.5% short
Shot accuracy20.9%12.7%13.0%above
Kill/death ratio1.331.051.06above
Match win rate48.0%45.7%46.3%above

This profile matches the typical Level 8 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. 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.GGZiko StormboltFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER13,188 · Blue 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

Aim75
Positioning63
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY39–56–5Last 10039%Win rateWWWLLLLWLL

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · +4.3pp headshot accuracy · +6ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 14%
  • Avg reaction 517ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 520ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 517ms

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 (+1.1 against its own average).

Aim7.5
Utility5.9
Positioning6.3
Opening Duels3.8
Clutch4.6

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 88% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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

Aim7.5
Positioning6.3
Utility5.9
Mechanics6.3
Opening Duels5.1
Win Impact3.3

Composite 5.9/10 (Solid), 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-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time529ms−47ms
first ⅓ avg 576ms → last ⅓ avg 529ms
Headshot accuracy16.6%+2.1%
first ⅓ avg 14.5% → last ⅓ avg 16.6%

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

0.11Best match rating · 13–11 · cache, 25 Sept →
50%Best headshot accuracy · 6–13 · dust2, 13 Oct →
359msFastest reaction time · 8–13 · anubis, 9 Oct →
13–1Biggest win · inferno, 29 Aug →

Across the last 100 tracked matches.

Highlights

3Longest win streak
W3Current streak
5–8In matches decided by ≤2 rounds
11Overtime games

Map breakdown

cacheBest map · 59% over 22ancientWeakest map · 17% over 12
MapGradePlayedRecordWin rateAvg rating
dust2C238–1535%0.00
cacheA2213–959%0.02
anubisD164–1225%0.02
infernoB147–750%0.00
ancientD122–1017%-0.01
mirageA74–357%-0.01
nuke—30–30%-0.04
rush_001—20–20%-0.10
vertigo—11–0100%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

160,720Lifetime kills
1.33K/D · Top 25% of Level 7 players
5,537Matches
48.0%Match win rate · Top 50% of Level 7 players
36.3%Headshot %
20.9%Shot accuracy · Top 5% of Level 7 players
17,927MVPs
2,795Hours (in match)
5,679Bombs planted
1,682Bombs defused

Most-used weapons

AK-4738,852
AWP28,182
P2503,842
Tec-93,136
Knife2,971

Lifetime map wins

9,073inferno
7,822dust2
3,513nuke
2,747train
2,227vertigo
1,410cbble
190office
129aztec

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

Faceit stats

Combat

454Matches
50%Win rate
1.57Avg K/D
88.6ADR
37%Headshot %

Clutches & streaks

43%1v1 clutch win
20%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Dust2250%1.3023.5
Mirage1100%1.1335.0
Ancient1100%2.0825.0
Inferno1100%2.4024.0
Nuke1100%0.6511.0
Anubis1100%1.8626.0

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.

14.8%Headshot accuracy
38.5%Accuracy (enemy spotted)
40.6%Spray accuracy
78.3%Counter-strafing
11.1°Preaim
518msReaction time
52.0%T opening success
48.5%CT opening success
0.46Enemies flashed / flash
3.3%Flash assists
10.68HE damage / grenade
10.60Flashes / 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 14.7782% — below the 15% mark we flag

    Aim Training →
  2. 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 0.4561 — below the 0.5 mark we flag

    Grenade Lineups →
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.

17% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–100.0713%13 Oct →
cache13–70.1018%13 Oct →
cache13–80.0420%13 Oct →
anubis11–130.1011%13 Oct →
inferno1–13-0.116%13 Oct →
dust26–130.0450%13 Oct →
mirage9–13-0.0212%12 Oct →
dust213–9-0.007%12 Oct →
cache11–13-0.0221%12 Oct →
nuke6–13-0.099%11 Oct →
inferno13–11-0.0114%11 Oct →
vertigo13–110.0313%11 Oct →
dust210–13-0.0113%11 Oct →
cache12–6-0.1213%11 Oct →
ancient8–13-0.0120%11 Oct →
cache6–13-0.029%11 Oct →
inferno15–150.0211%10 Oct →
ancient11–130.0212%9 Oct →
cache13–90.0312%9 Oct →
anubis8–13-0.017%9 Oct →
anubis5–13-0.0125%9 Oct →
anubis13–110.0615%9 Oct →
cache1–13-0.0810%8 Oct →
cache13–70.0321%8 Oct →
ancient3–13-0.120%8 Oct →
mirage13–9-0.0517%7 Oct →
cache10–130.0612%2 Oct →
cache13–80.0419%2 Oct →
anubis13–20.0519%1 Oct →
dust27–13-0.0613%1 Oct →
dust29–13-0.0235%1 Oct →
rush_0012–6-0.0738%1 Oct →
rush_0011–5-0.1233%30 Sept →
ancient15–150.025%30 Sept →
dust22–13-0.0521%30 Sept →
mirage7–13-0.0118%27 Sept →
dust211–130.0314%27 Sept →
anubis8–13-0.0412%27 Sept →
dust213–10-0.0012%27 Sept →
dust213–90.0112%27 Sept →
inferno13–80.0120%26 Sept →
ancient11–13-0.0124%26 Sept →
anubis6–130.0214%25 Sept →
nuke10–130.0010%25 Sept →
cache13–110.1118%25 Sept →
inferno13–100.0511%25 Sept →
cache13–100.0724%25 Sept →
anubis4–130.0623%24 Sept →
cache10–13-0.0421%24 Sept →
ancient6–13-0.0423%24 Sept →
cache11–130.0417%23 Sept →
dust24–13-0.0324%17 Sept →
anubis10–130.0318%17 Sept →
dust213–70.0513%17 Sept →
anubis8–13-0.0524%10 Sept →
dust27–130.059%10 Sept →
inferno10–13-0.0016%10 Sept →
anubis10–13-0.0510%3 Sept →
inferno13–5-0.0715%3 Sept →
dust210–130.0224%3 Sept →
cache13–60.0921%31 Aug →
ancient13–60.0423%31 Aug →
dust213–50.0223%30 Aug →
ancient2–13-0.049%29 Aug →
inferno13–10.0910%29 Aug →
anubis16–140.0416%29 Aug →
inferno13–70.0827%28 Aug →
dust211–130.0619%27 Aug →
ancient13–60.1017%27 Aug →
inferno4–130.0420%27 Aug →
dust215–150.0215%24 Aug →
cache13–16-0.039%23 Aug →
cache13–50.0518%23 Aug →
cache13–80.0218%23 Aug →
inferno7–13-0.0415%23 Aug →
dust27–13-0.0121%23 Aug →
anubis13–60.0018%23 Aug →
mirage14–16-0.0010%23 Aug →
nuke7–13-0.0313%20 Aug →
cache4–130.0513%19 Aug →
dust215–150.0215%19 Aug →
mirage13–3-0.0220%16 Aug →
dust213–80.029%16 Aug →
ancient15–150.029%16 Aug →
anubis7–130.0311%6 Aug →
inferno16–13-0.0018%6 Aug →
cache13–90.0814%6 Aug →
anubis9–130.0811%4 Aug →
ancient5–13-0.0917%4 Aug →
anubis7–130.0319%4 Aug →
dust213–3-0.007%4 Aug →
mirage13–7-0.0012%4 Aug →
cache13–160.0016%3 Aug →
dust24–13-0.054%3 Aug →
dust216–13-0.0513%2 Aug →
inferno8–130.0114%2 Aug →
dust26–13-0.0230%2 Aug →
ancient7–130.0411%29 Jul →
cache13–9-0.0412%29 Jul →
inferno6–13-0.0511%29 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 →

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