skiz

skiz — CS2 Stats

76561198045562868[U:1:85297140]Steam profile ↗✓ No bans

4,357Tracked matches41%Win rate2021Tracked since
CSDB Rating7.5 StrongPositional Player
Premier CS Rating27,691Top 5% of 205,416 CSDB-tracked playersRed band · top ~1.7% of ranked players (population est.)
CSDB Leaderboard#3223 of 252478 tracked
FaceitLevel 10 · 2,608 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Sep 2026 (20 days ago). Ranks are recorded once per day this page is viewed.

−435Premier CS Rating · 28,126 → 27,691

Rating over time

Premier CS Rating: 27,691 +946 4 Jul – 17 Oct · 21 days played
25,60528,227peak 28,2274 Jul17 Oct
Faceit ELO: 2,608 +0 28 Aug – 3 Sept · 3 observations
2,6082,608peak 2,60828 Aug3 Sept
28,227Peak Premier in tracked matches
2,608Highest Faceit ELO seen on CSDB
40Days played since 2026-06-28

Faceit ELO

  • At peak — 2,608
  • Next: 3,000 ELO at 3,000 — 392 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
  • 2,500 ELO first seen 2026-08-28
  • Level 10 first seen 2026-08-28

Premier CS Rating

  • 536 below peak (28,227)
  • -151 over 30 days · steady
  • +2,086 over 90 days
  • Next: Gold band at 30,000 — 2,309 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-08-28
  • Pink band first seen 2026-08-28

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.GGskizFACEITLevel 10 · 2,608 ELOSTANDINGTop 12.4% of rankedPREMIER27,691 · Red bandPEAK ELO2,608csdb.gg/stats

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Performance scores

Aim93
Positioning78
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY46–52–2Last 10046%Win rateWLLLWWWTLW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating · +2.3pp headshot accuracy · −38ms reaction

Win rate up 30pp 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

  • 2–3 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 25%
  • Avg reaction 524ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 25%
  • Avg reaction 492ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 24%
  • Avg reaction 511ms

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 (+2.3 against its own average).

Aim9.3
Utility5.2
Positioning7.8
Opening Duels6.0
Clutch3.2

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

donk

Plays most like donk 90% playstyle similarity

Most alike: opening-duel success, positioning 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 93 — the mechanical foundation is a clear strength.

T openings. 61% T opening-duel success — entries that actually open the round.

Areas to improve

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

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

Aim9.3
Positioning7.8
Utility5.2
Mechanics7.4
Opening Duels6.8
Win Impact2.1

Composite 7.5/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.00
first ⅓ avg 0.04 → last ⅓ avg 0.04
Reaction time507ms−23ms
first ⅓ avg 530ms → last ⅓ avg 507ms
Headshot accuracy24.9%+3.8%
first ⅓ avg 21.1% → last ⅓ avg 24.9%

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 · 13–7 · dust2, 26 Jul →
50%Best headshot accuracy · 2–2 · dust2, 1 Aug →
328msFastest reaction time · 13–5 · anubis, 21 Aug →
13–0Biggest win · ancient, 16 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
6–8In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 55% over 11mirageWeakest map · 35% over 17
MapGradePlayedRecordWin rateAvg rating
dust2B2110–1148%0.04
mirageC176–1135%0.04
cacheB136–746%0.05
nukeB126–650%0.02
infernoB115–645%0.05
ancientA116–555%0.03
anubisB105–550%0.04
boulder—21–150%-0.01
vertigo—20–20%0.01
overpass—11–0100%0.10

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (35% over 17). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,178Matches
51%Win rate
1.24Avg K/D
85.3ADR
47%Headshot %

Clutches & streaks

36%1v1 clutch win
22%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage56844%1.2117.6
Dust242053%1.2217.1
Anubis35153%1.2817.8
Ancient30350%1.2016.8
Inferno26553%1.2317.0
Nuke24358%1.2817.8
Vertigo9647%1.1716.8
Train5941%1.1717.4

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.

24.7%Headshot accuracy
38.6%Accuracy (enemy spotted)
43.8%Spray accuracy
83.3%Counter-strafing
8.1°Preaim
505msReaction time
60.6%T opening success
53.6%CT opening success
0.65Enemies flashed / flash
5.1%Flash assists
7.32HE damage / grenade
7.73Flashes / match

Recommended for you

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.

35% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–50.0522%17 Oct →
cache8–13-0.0017%17 Oct →
dust27–130.0233%17 Oct →
boulder2–13-0.0223%17 Oct →
cache13–80.1030%14 Oct →
mirage13–10-0.0140%13 Oct →
overpass13–50.1031%12 Oct →
inferno12–120.1020%9 Oct →
ancient4–130.0622%27 Sept →
cache13–90.1516%26 Sept →
anubis9–130.0721%26 Sept →
dust213–10.0621%26 Sept →
ancient7–130.0023%19 Sept →
ancient13–40.1421%19 Sept →
nuke8–13-0.0019%19 Sept →
inferno8–130.0330%19 Sept →
mirage7–130.0423%19 Sept →
ancient20–22-0.0121%13 Sept →
nuke10–130.0023%12 Sept →
dust24–13-0.0328%7 Sept →
cache2–130.0041%7 Sept →
dust213–110.0236%7 Sept →
ancient13–4-0.0215%6 Sept →
nuke10–13-0.0628%5 Sept →
cache11–130.0325%4 Sept →
mirage14–16-0.0214%28 Aug →
anubis13–100.0624%27 Aug →
inferno13–20.1637%27 Aug →
dust213–90.0630%24 Aug →
nuke3–130.0619%23 Aug →
boulder13–60.0120%23 Aug →
mirage16–140.0724%22 Aug →
anubis13–50.0727%21 Aug →
dust215–150.0321%21 Aug →
dust215–190.0117%16 Aug →
ancient13–0-0.060%16 Aug →
dust213–100.0515%16 Aug →
mirage8–130.1226%16 Aug →
cache8–130.0829%15 Aug →
cache13–40.0332%15 Aug →
dust25–130.0131%15 Aug →
cache3–13-0.0218%9 Aug →
inferno3–13-0.1116%9 Aug →
mirage8–13-0.0129%9 Aug →
anubis10–130.0017%8 Aug →
mirage10–130.0114%3 Aug →
ancient9–130.1024%3 Aug →
dust23–130.0423%3 Aug →
mirage13–90.0524%2 Aug →
dust213–20.1127%2 Aug →
dust26–130.1027%2 Aug →
mirage13–30.0822%2 Aug →
ancient1–13-0.0719%2 Aug →
dust22–2-0.0350%1 Aug →
cache11–130.0225%1 Aug →
nuke16–140.0720%1 Aug →
cache13–60.0534%1 Aug →
anubis13–60.0724%1 Aug →
mirage11–130.0726%1 Aug →
nuke13–70.0528%27 Jul →
anubis10–130.0422%26 Jul →
vertigo7–13-0.0114%26 Jul →
mirage13–100.1528%26 Jul →
inferno9–130.0824%26 Jul →
nuke13–60.0220%26 Jul →
dust213–70.1621%26 Jul →
mirage3–130.0333%25 Jul →
cache16–130.0317%25 Jul →
dust29–130.0326%25 Jul →
mirage11–13-0.0126%19 Jul →
anubis2–13-0.0442%19 Jul →
cache13–90.0817%19 Jul →
dust27–130.0319%18 Jul →
inferno13–00.1120%18 Jul →
cache8–130.1021%18 Jul →
mirage7–130.1627%17 Jul →
vertigo6–130.0220%17 Jul →
nuke7–130.0115%17 Jul →
dust20–13-0.0420%17 Jul →
inferno1–60.0214%13 Jul →
dust213–80.0214%12 Jul →
inferno13–50.0421%9 Jul →
ancient13–110.0217%9 Jul →
dust213–30.0726%9 Jul →
anubis13–50.0520%9 Jul →
mirage13–50.0720%8 Jul →
mirage11–13-0.0421%8 Jul →
inferno10–13-0.0322%5 Jul →
ancient16–120.0617%5 Jul →
nuke8–13-0.0424%5 Jul →
anubis16–130.0520%5 Jul →
ancient13–80.0923%5 Jul →
nuke16–140.0524%5 Jul →
anubis9–13-0.0015%5 Jul →
mirage7–13-0.0313%5 Jul →
nuke13–110.0523%4 Jul →
inferno13–70.0721%4 Jul →
dust213–100.0826%4 Jul →
dust213–100.0524%4 Jul →
inferno13–80.1017%28 Jun →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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