Zebra

Zebra — CS2 Stats

JP76561198440556860[U:1:480291132]Steam profile ↗✓ No bans

2,044Tracked matches61%Win rate2020Tracked since
3,224Hours in CS0Hrs last 2 wks
CSDB Rating5.5 SolidPositional Player
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (13 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 2,044 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 19,999 -2,604 24 Jul – 8 Apr · 20 days played
19,60323,333peak 23,33324 Jul8 Apr
Faceit ELO: 2,248 +0 15 Sept – 18 Sept · 2 observations
2,2482,248peak 2,24815 Sept18 Sept
23,704Peak Premier in tracked matches
2,248Highest Faceit ELO seen on CSDB
49Days played since 2025-07-22

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.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=29,218), 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 10 median
Headshot rate51.4%50.9%
Shot accuracy13.8%13.8%
Kill/death ratio1.131.09
Match win rate46.6%48.4%

Share this profile

CSDB.GGZebraFACEITLevel 10STANDINGTop 12.4% of rankedPEAK ELO2,248csdb.gg/stats

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Performance scores

Aim72
Positioning59
Utility22

0–100 skill scores via Leetify.

Recent form

STEADY53–44–3Last 10053%Win rateLWWLWTWWWL

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · −3.2pp headshot accuracy · −117ms 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 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 537ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 498ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 556ms

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 (+2.2 against its own average).

Aim7.2
Utility2.2
Positioning5.9
Opening Duels3.5
Clutch3.4

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

s1mple

Plays most like s1mple 86% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 51% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 579ms 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

Aim7.2
Positioning5.9
Utility2.2
Mechanics4.6
Opening Duels2.7
Win Impact8.6

Composite 5.5/10 (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 rating0.02−0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time584ms+11ms
first ⅓ avg 573ms → last ⅓ avg 584ms
Headshot accuracy22.3%−1.3%
first ⅓ avg 23.7% → last ⅓ avg 22.3%

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

0.17Best match rating · 13–3 · inferno, 14 Aug →
40%Best headshot accuracy · 6–13 · cache, 29 Apr →
328msFastest reaction time · 2–13 · inferno, 1 Oct →
13–2Biggest win · mirage, 17 Aug →

Across the last 100 tracked matches.

Highlights

9Longest win streak
17–3In matches decided by ≤2 rounds
12Overtime games

Map breakdown

anubisBest map · 80% over 5ancientWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
infernoS3121–1068%0.01
overpassA2012–860%0.02
mirageB199–1047%0.01
ancientD113–827%0.02
nukeC52–340%-0.01
anubisS54–180%0.08
train—42–250%0.02
dust2—20–20%-0.06
cache—20–20%-0.01
vertigo—10–10%-0.09

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

97,488Lifetime kills
1.13K/D · Top 50% of Level 10 players
4,122Matches
46.6%Match win rate
51.4%Headshot % · Top 50% of Level 10 players
13.8%Shot accuracy · Top 50% of Level 10 players
13,988MVPs
1,689Hours (in match)
6,404Bombs planted
1,745Bombs defused

Most-used weapons

AK-4739,363
AWP4,422
MP93,487
MAC-103,244
P2502,261
FAMAS1,732

Lifetime map wins

10,200inferno
3,485vertigo
2,479nuke
2,303train
1,898dust2
597cbble
283lake
134office

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

Faceit stats

Combat

935Matches
51%Win rate
1.08Avg K/D
82.0ADR
51%Headshot %

Clutches & streaks

37%1v1 clutch win
22%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Inferno19661%1.1717.0
Anubis13353%1.1216.8
Mirage7941%1.0616.6
Overpass6057%1.1516.6
Nuke4637%1.0115.7
Ancient4139%1.0016.5
Vertigo3543%1.0416.6
Train2339%1.0916.6

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.

22.1%Headshot accuracy
34.8%Accuracy (enemy spotted)
38.0%Spray accuracy
70.8%Counter-strafing
9.1°Preaim
579msReaction time
31.0%T opening success
50.9%CT opening success
0.23Enemies flashed / flash
8.8%Flash assists
6.45HE damage / grenade
1.06Flashes / 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 0.2332 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 30.983% — below the 40% mark we flag

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.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno16–19-0.017%9 Sept →
mirage13–10-0.0417%6 Sept →
ancient13–80.0922%4 Sept →
ancient13–160.0519%4 Sept →
inferno13–5-0.0326%4 Sept →
ancient15–150.0221%3 Sept →
inferno13–100.0622%31 Aug →
ancient13–3-0.0311%23 Aug →
inferno13–110.0117%22 Aug →
inferno10–130.0320%22 Aug →
nuke13–7-0.0119%12 Aug →
inferno13–10-0.0623%10 Aug →
dust22–13-0.0714%2 Aug →
inferno13–100.0625%2 Aug →
cache2–13-0.0414%2 Aug →
inferno16–140.0815%1 Aug →
cache6–130.0340%29 Apr →
overpass13–100.0317%8 Apr →
overpass13–11-0.0328%3 Apr →
nuke8–130.0119%3 Apr →
mirage11–13-0.0330%28 Mar →
anubis13–60.0023%28 Mar →
dust24–13-0.0621%28 Mar →
anubis15–150.0723%28 Mar →
ancient5–13-0.0224%26 Mar →
overpass13–90.0429%22 Mar →
inferno13–7-0.0137%22 Mar →
anubis13–70.1224%22 Mar →
inferno13–30.0333%22 Mar →
ancient9–130.1133%22 Mar →
inferno6–130.0618%19 Mar →
ancient11–130.1124%19 Mar →
inferno13–110.0320%28 Feb →
anubis13–110.1632%20 Feb →
anubis13–100.0417%20 Feb →
mirage8–13-0.0118%8 Feb →
mirage13–7-0.0021%3 Feb →
mirage11–13-0.0716%3 Feb →
inferno10–13-0.0120%3 Feb →
vertigo2–13-0.0936%11 Jan →
nuke2–13-0.0722%11 Jan →
overpass13–90.1533%11 Jan →
inferno10–13-0.0024%29 Oct →
inferno4–130.0126%15 Oct →
inferno13–10-0.0233%5 Oct →
overpass8–13-0.0715%1 Oct →
mirage5–13-0.0114%1 Oct →
inferno2–13-0.0625%1 Oct →
inferno13–70.0818%1 Oct →
mirage5–13-0.0519%30 Sept →
ancient13–70.0025%30 Sept →
inferno13–9-0.0528%30 Sept →
mirage13–9-0.0023%28 Sept →
inferno16–140.0022%28 Sept →
overpass13–90.1031%28 Sept →
overpass13–11-0.0516%24 Sept →
inferno16–14-0.0214%20 Sept →
overpass13–70.0323%18 Sept →
train13–110.0324%18 Sept →
mirage8–130.0214%18 Sept →
mirage2–13-0.0217%10 Sept →
train13–160.0317%31 Aug →
mirage13–30.0933%31 Aug →
inferno13–10-0.0220%31 Aug →
overpass8–13-0.0031%30 Aug →
nuke6–13-0.0017%28 Aug →
inferno9–130.0419%27 Aug →
mirage13–110.0020%27 Aug →
overpass9–130.0119%23 Aug →
inferno8–13-0.0231%21 Aug →
overpass5–130.0225%21 Aug →
overpass13–50.0523%17 Aug →
nuke13–110.0224%17 Aug →
mirage7–13-0.0129%17 Aug →
inferno13–100.0227%17 Aug →
overpass19–17-0.0025%17 Aug →
mirage13–20.1328%17 Aug →
overpass13–11-0.0119%16 Aug →
train13–50.0318%16 Aug →
overpass10–130.0217%16 Aug →
inferno13–30.1728%14 Aug →
overpass9–13-0.0219%14 Aug →
inferno13–5-0.0227%10 Aug →
inferno13–110.0320%10 Aug →
mirage13–40.0320%10 Aug →
inferno8–130.0135%10 Aug →
ancient8–130.0230%10 Aug →
mirage7–130.0116%10 Aug →
ancient4–13-0.0321%10 Aug →
ancient2–13-0.0817%3 Aug →
overpass13–160.0422%3 Aug →
mirage9–130.0723%30 Jul →
overpass2–13-0.0021%29 Jul →
inferno13–80.0526%29 Jul →
train15–15-0.0022%29 Jul →
inferno13–11-0.0021%24 Jul →
overpass13–70.0530%24 Jul →
mirage13–11-0.0125%23 Jul →
overpass13–40.0329%23 Jul →
mirage16–140.0623%22 Jul →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 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.