Schabi

Schabi — CS2 Stats

76561197960399114[U:1:133386]Steam profile ↗✓ No bans

531Tracked matches50%Win rate2020Tracked since
CSDB Rating5.8 SolidSupport
Premier CS Rating24,602Top 25% of 203,074 CSDB-tracked playersPink band · top ~3.4% of ranked players (population est.)
CSDB Leaderboard#25653 of 250057 tracked
FaceitLevel 9 · 1,788 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Sep 2026 (26 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 531 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 24,602 +1,427 17 Jan – 10 Sept · 19 days played
20,56224,602peak 24,60217 Jan10 Sept
Faceit ELO: 1,788 +0 2 Sept – 10 Sept · 2 observations
1,7881,788peak 1,7882 Sept10 Sept
24,826Peak Premier in tracked matches
1,788Highest Faceit ELO seen on CSDB
24Days played since 2026-01-17

Faceit ELO

  • At peak — 1,788
  • Next: Level 10 at 2,001 — 213 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-02
  • Level 8 first seen 2026-09-02

Premier CS Rating

  • At peak — 24,602
  • +3,450 over 90 days
  • Next: Red band at 25,000 — 398 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-02
  • Purple band first seen 2026-09-02

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.GGSchabiFACEITLevel 9 · 1,788 ELOSTANDINGTop 20.7% of rankedPREMIER24,602 · Pink bandPEAK ELO1,788csdb.gg/stats

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Performance scores

Aim67
Positioning56
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY49–48–3Last 10049%Win rateLLWLLWWLWW

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · +0.1pp headshot accuracy · +41ms 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

  • 1–4 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 560ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 573ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 552ms

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
Utility6.3
Positioning5.6
Opening Duels4.0
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

jL

Plays most like jL 84% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Aim6.7
Positioning5.6
Utility6.3
Mechanics5.4
Opening Duels3.3
Win Impact5.0

Composite 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time560ms+2ms
first ⅓ avg 558ms → last ⅓ avg 560ms
Headshot accuracy20.6%+2.1%
first ⅓ avg 18.5% → last ⅓ avg 20.6%

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

0.14Best match rating · 13–1 · dust2, 24 Feb →
42%Best headshot accuracy · 7–13 · inferno, 21 Jun →
375msFastest reaction time · 2–13 · nuke, 26 Jan →
13–1Biggest win · dust2, 24 Feb →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
6–8In matches decided by ≤2 rounds
11Overtime games

Map breakdown

dust2Best map · 63% over 27ancientWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
dust2A2717–1063%0.01
mirageC2410–1442%0.01
infernoB189–950%-0.00
nukeB115–645%0.02
overpassA95–456%0.01
ancientD92–722%-0.01
anubis—21–150%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,135Matches
51%Win rate
1.00Avg K/D
78.0ADR
45%Headshot %

Clutches & streaks

43%1v1 clutch win
23%1v2 clutch win
12Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Dust21638%1.0113.6
Mirage1540%1.1515.7
Inferno944%1.1915.8
Nuke650%0.9115.3
Train520%0.9715.4
Overpass2100%1.2823.5
Ancient1100%1.0716.0
Anubis10%0.8012.0

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.

20.9%Headshot accuracy
30.9%Accuracy (enemy spotted)
34.1%Spray accuracy
74.2%Counter-strafing
9.2°Preaim
544msReaction time
39.4%T opening success
47.0%CT opening success
0.57Enemies flashed / flash
5.5%Flash assists
9.92HE damage / grenade
14.46Flashes / 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

    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 39.4339% — 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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
overpass12–16-0.0114%28 Jun →
inferno10–13-0.0620%28 Jun →
dust216–140.0616%28 Jun →
dust211–130.0623%25 Jun →
mirage9–13-0.0120%25 Jun →
dust213–110.0924%25 Jun →
overpass13–70.1223%21 Jun →
inferno7–13-0.0642%21 Jun →
mirage2–0-0.0317%21 Jun →
dust213–8-0.0018%21 Jun →
inferno13–5-0.0220%21 Jun →
mirage14–160.0617%21 Jun →
dust213–9-0.0126%21 Jun →
inferno2–130.0024%13 Jun →
overpass13–11-0.0218%13 Jun →
mirage13–100.0111%13 Jun →
dust29–13-0.0224%26 Apr →
mirage9–13-0.0119%6 Mar →
ancient8–13-0.0319%6 Mar →
inferno13–90.0336%6 Mar →
nuke13–110.0115%6 Mar →
overpass13–4-0.0012%28 Feb →
inferno10–13-0.0119%28 Feb →
dust213–100.0024%28 Feb →
nuke8–130.0925%27 Feb →
dust213–70.0315%27 Feb →
mirage3–130.0420%27 Feb →
inferno13–80.0136%27 Feb →
mirage11–13-0.0119%26 Feb →
nuke10–13-0.0517%26 Feb →
dust213–70.0615%26 Feb →
mirage4–13-0.0612%24 Feb →
inferno5–130.0523%24 Feb →
dust213–10.1429%24 Feb →
overpass15–15-0.0119%22 Feb →
mirage13–100.0619%22 Feb →
inferno16–120.0118%22 Feb →
ancient5–13-0.0119%22 Feb →
nuke13–60.0016%22 Feb →
mirage10–13-0.0314%22 Feb →
dust216–14-0.0122%22 Feb →
dust211–13-0.0516%20 Feb →
mirage13–9-0.0220%20 Feb →
ancient11–13-0.0324%20 Feb →
inferno9–130.0419%20 Feb →
dust27–13-0.0710%20 Feb →
mirage6–13-0.0214%15 Feb →
inferno3–13-0.0715%15 Feb →
dust215–15-0.0519%15 Feb →
mirage13–8-0.0017%15 Feb →
inferno12–16-0.0014%15 Feb →
dust28–13-0.0026%15 Feb →
overpass13–90.0215%14 Feb →
ancient9–130.0227%14 Feb →
inferno13–50.0528%14 Feb →
dust213–8-0.0134%14 Feb →
dust29–13-0.0215%8 Feb →
mirage13–50.0519%8 Feb →
overpass10–130.0426%8 Feb →
inferno5–13-0.0029%8 Feb →
nuke13–100.0219%8 Feb →
mirage9–130.0121%7 Feb →
overpass6–130.0121%7 Feb →
ancient13–5-0.0516%7 Feb →
mirage13–80.0731%7 Feb →
nuke9–00.0819%7 Feb →
dust213–90.0113%7 Feb →
overpass13–8-0.0322%5 Feb →
ancient13–70.0320%5 Feb →
dust210–13-0.0319%5 Feb →
mirage11–13-0.0116%5 Feb →
nuke10–130.0119%3 Feb →
inferno13–100.0113%3 Feb →
mirage13–100.1116%3 Feb →
dust213–50.0631%3 Feb →
ancient13–16-0.0123%29 Jan →
inferno13–6-0.0314%29 Jan →
mirage15–150.0314%29 Jan →
dust213–40.0419%29 Jan →
nuke7–130.0114%29 Jan →
mirage13–80.0624%26 Jan →
anubis13–2-0.0120%26 Jan →
dust211–13-0.0415%26 Jan →
nuke2–13-0.0513%26 Jan →
inferno13–20.047%24 Jan →
nuke13–20.0920%24 Jan →
mirage10–13-0.0117%24 Jan →
dust213–4-0.0318%24 Jan →
mirage11–130.0219%24 Jan →
ancient7–13-0.0122%24 Jan →
anubis13–16-0.0615%23 Jan →
dust213–90.0217%23 Jan →
mirage4–13-0.0119%23 Jan →
ancient9–13-0.0117%23 Jan →
dust213–8-0.0420%23 Jan →
inferno13–5-0.0120%23 Jan →
dust213–70.0626%20 Jan →
mirage13–80.0226%20 Jan →
dust25–13-0.0714%20 Jan →
nuke7–13-0.0022%17 Jan →

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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