Stabby

Stabby — CS2 Stats

MX76561198982291077[U:1:1022025349]Steam profile ↗✓ No bans

699Tracked matches60%Win rate2020Tracked since
534Hours in CS
CSDB Rating5.4 DevelopingAll-Rounder
Premier CS Rating22,306Top 50% of 205,416 CSDB-tracked playersPink band · top ~6% of ranked players (population est.)
CSDB Leaderboard#50741 of 252530 tracked
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

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

No change since then — still 699 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 22,306 +3,932 7 May – 20 Sept · 38 days played
15,92023,593peak 23,5937 May20 Sept
Faceit ELO: 1,196 +0 6 Sept – 20 Sept · 2 observations
1,1961,196peak 1,1966 Sept20 Sept
23,593Peak Premier in tracked matches
1,196Highest Faceit ELO seen on CSDB
39Days played since 2026-05-07

Faceit ELO

  • At peak — 1,196
  • Next: Level 6 at 1,201 — 5 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-09-06
  • Level 4 first seen 2026-09-06

Premier CS Rating

  • 1,287 below peak (23,593)
  • +4,352 over 90 days
  • Next: Red band at 25,000 — 2,694 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-06
  • Purple band first seen 2026-09-06

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.

Compare periods

Last 30 days vs previous 30

No matches recorded between 20 Sep 2026 and 17 Oct 2026.

Measured 20 Sep 2026 → 17 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate44.2%46.9%49.3%5.1% short
Shot accuracy9.6%13.0%13.4%3.8% short
Kill/death ratio0.941.081.120.18 short
Match win rate43.7%46.7%48.5%4.8% short

This profile sits below the typical Red band player on every metric we can compare.

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

Share this profile

CSDB.GGStabbyPREMIER22,306 · Pink bandPEAK ELO1,196csdb.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

Aim52
Positioning52
Utility44

0–100 skill scores via Leetify.

Recent form

COLD51–46–3Last 10051%Win rateLWWLLLLLLW

Last 10 vs previous 10: −50pp win rate · −0.03 avg rating · +1.0pp headshot accuracy · +104ms reaction

Win rate down 50pp 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 -0.04
  • Avg headshot accuracy 21%
  • Avg reaction 656ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 20%
  • Avg reaction 688ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 636ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim5.2
Utility4.4
Positioning5.2
Opening Duels3.9
Clutch4.2

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 82% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; lower 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

Areas to improve

T-side openings. Opening success drops from 52% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 642ms 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

Aim5.2
Positioning5.2
Utility4.4
Mechanics6.2
Opening Duels2.8
Win Impact8.3

Composite 5.4/10 (Developing), 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 rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time646ms−11ms
first ⅓ avg 658ms → last ⅓ avg 646ms
Headshot accuracy20.6%−1.2%
first ⅓ avg 21.8% → 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

0.15Best match rating · 13–4 · mirage, 23 Jun →
44%Best headshot accuracy · 13–6 · mirage, 1 Jun →
453msFastest reaction time · 8–13 · anubis, 18 Jul →
13–1Biggest win · cache, 18 Jul →

Across the last 100 tracked matches.

Highlights

8Longest win streak
15–2In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 67% over 12infernoWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
mirageB2513–1252%-0.01
ancientB2111–1052%0.00
nukeA1710–759%-0.00
dust2C125–742%-0.03
anubisS128–467%-0.01
infernoD82–625%-0.03
cache—42–250%-0.01
overpass—10–10%-0.09

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

23,961Lifetime kills
0.94K/D
1,514Matches
43.7%Match win rate
44.2%Headshot %
9.6%Shot accuracy
2,698MVPs
534Hours (in match)
1,028Bombs planted
328Bombs defused

Most-used weapons

Lifetime map wins

2,424dust2
1,193inferno
1,084nuke
250lake
231train
221vertigo
97cbble
43office

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

Faceit stats

Combat

173Matches
51%Win rate
0.96Avg K/D
72.3ADR
52%Headshot %

Clutches & streaks

41%1v1 clutch win
25%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage5450%0.9614.1
Ancient3447%1.0514.3
Dust22532%0.9014.2
Inferno1979%0.9013.7
Nuke1573%0.9414.4
Train425%0.8718.8
Overpass450%0.9614.5
Anubis1100%1.8815.0

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.

19.8%Headshot accuracy
28.9%Accuracy (enemy spotted)
31.3%Spray accuracy
77.9%Counter-strafing
9.9°Preaim
642msReaction time
30.3%T opening success
52.2%CT opening success
0.44Enemies flashed / flash
4.1%Flash assists
7.40HE damage / grenade
8.06Flashes / 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 0.4372 — 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 30.2533% — below the 40% mark we flag

Spend your practice time on Inferno

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust27–13-0.0719%6 Aug →
nuke13–80.0023%28 Jul →
ancient13–11-0.0722%27 Jul →
mirage5–13-0.0414%21 Jul →
nuke3–13-0.0226%21 Jul →
ancient3–13-0.0335%20 Jul →
mirage7–12-0.0314%20 Jul →
ancient3–13-0.0518%20 Jul →
inferno8–13-0.0416%20 Jul →
dust213–7-0.0017%18 Jul →
cache13–8-0.0223%18 Jul →
ancient8–13-0.0415%18 Jul →
nuke13–70.0527%18 Jul →
cache13–10.1025%18 Jul →
anubis8–13-0.0717%18 Jul →
anubis13–9-0.0532%16 Jul →
nuke13–11-0.0412%16 Jul →
inferno13–7-0.0115%16 Jul →
dust213–11-0.0513%16 Jul →
ancient16–140.0914%16 Jul →
mirage16–12-0.038%15 Jul →
anubis13–10-0.0322%15 Jul →
dust22–13-0.0633%15 Jul →
inferno5–13-0.0133%14 Jul →
nuke13–50.0420%14 Jul →
mirage13–11-0.099%14 Jul →
ancient13–8-0.0218%14 Jul →
mirage13–70.0228%14 Jul →
mirage2–13-0.0120%13 Jul →
ancient13–80.0426%5 Jul →
mirage13–10-0.0624%30 Jun →
ancient7–13-0.0321%30 Jun →
ancient8–13-0.0121%30 Jun →
nuke13–11-0.0112%29 Jun →
anubis13–110.0125%29 Jun →
ancient6–13-0.0417%25 Jun →
anubis9–13-0.0519%25 Jun →
inferno4–13-0.0236%24 Jun →
ancient10–130.0323%24 Jun →
mirage13–40.1524%23 Jun →
ancient13–5-0.0314%23 Jun →
nuke13–50.0527%23 Jun →
inferno13–9-0.0123%22 Jun →
dust213–11-0.0429%22 Jun →
mirage13–11-0.0228%22 Jun →
mirage13–9-0.0326%16 Jun →
mirage13–6-0.1011%6 Jun →
nuke4–13-0.0220%6 Jun →
mirage3–13-0.0120%3 Jun →
dust211–130.0122%2 Jun →
ancient4–130.0327%2 Jun →
nuke10–130.0413%2 Jun →
mirage13–6-0.0544%1 Jun →
mirage13–80.0732%31 May →
mirage13–80.0114%31 May →
ancient13–30.0823%27 May →
anubis16–130.0720%27 May →
mirage6–130.1013%24 May →
anubis7–13-0.0915%24 May →
ancient13–70.0733%22 May →
mirage15–15-0.0417%20 May →
inferno11–13-0.0119%20 May →
anubis13–80.0216%20 May →
mirage4–13-0.0541%20 May →
overpass2–13-0.0923%19 May →
ancient13–11-0.0123%19 May →
ancient13–80.0121%19 May →
anubis13–60.0721%18 May →
nuke13–5-0.0323%18 May →
nuke13–30.0031%18 May →
mirage13–11-0.0216%18 May →
nuke5–13-0.0620%18 May →
mirage13–50.0542%18 May →
dust29–13-0.0323%18 May →
dust213–110.0324%17 May →
ancient8–13-0.0111%17 May →
nuke3–13-0.0411%16 May →
inferno8–13-0.0924%16 May →
mirage9–13-0.0618%15 May →
ancient13–160.0413%15 May →
anubis8–130.0119%14 May →
inferno10–13-0.0316%13 May →
mirage10–13-0.0130%13 May →
nuke8–13-0.0723%12 May →
anubis13–110.0318%12 May →
cache12–12-0.0424%11 May →
mirage9–130.0433%11 May →
dust22–13-0.0719%11 May →
nuke16–14-0.0122%11 May →
dust213–5-0.0432%11 May →
mirage9–130.0326%11 May →
nuke13–11-0.0211%9 May →
mirage10–13-0.0218%9 May →
ancient13–40.0527%9 May →
cache9–13-0.0622%9 May →
ancient13–8-0.076%8 May →
dust28–13-0.0324%8 May →
dust210–13-0.0235%7 May →
anubis13–40.0318%7 May →
nuke15–150.0321%7 May →

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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