Stebbs

Stebbs — CS2 Stats

76561199224371086[U:1:1264105358]Steam profile ↗✓ No bans

3,131Tracked matches43%Win rate2023Tracked since
2,986Hours in CS18Hrs last 2 wks
CSDB Rating4.3 DevelopingPositional Player
Premier CS Rating13,708Blue band · top ~35.2% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Oct 2026 (yesterday). 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: 13,708 +677 28 Aug – 18 Oct · 15 days played
13,03114,475peak 14,47528 Aug18 Oct
14,559Peak Premier in tracked matches
901Highest Faceit ELO seen on CSDB
36Days played since 2026-08-28

Faceit ELO

  • At peak — 901
  • Next: Level 5 at 1,051 — 150 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-08-28
  • Level 3 first seen 2026-08-28

Premier CS Rating

  • 767 below peak (14,475)
  • -767 over 30 days · declining
  • Next: Purple band at 15,000 — 1,292 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-08-28
  • Light Blue 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.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate38.2%42.0%44.3%6.1% short
Shot accuracy1.4%9.6%11.9%10.4% short
Kill/death ratio0.830.981.030.20 short
Match win rate36.3%43.8%45.2%8.9% short

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

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

Share this profile

CSDB.GGStebbsPREMIER13,708 · Blue bandPEAK ELO901csdb.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
Positioning50
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY39–55–6Last 10039%Win rateLLWLWWWWLL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +7.8pp headshot accuracy · −41ms reaction

Win rate +10pp 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

  • 2–3 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 509ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 516ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 536ms

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 (+1.8 against its own average).

Aim5.2
Utility4.3
Positioning5.0
Opening Duels0.9
Clutch2.4

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

ZywOo

Plays most like ZywOo 84% playstyle similarity

Most alike: positioning profile, utility contribution.

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 →

Strengths & areas to improve

Areas to improve

CT openings. Opening success drops from 58% on T to 29% on CT — first contacts on the defending side are being lost.

Counter-strafing. Only 70% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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
Positioning5.0
Utility4.3
Mechanics4.4
Opening Duels3.5
Win Impact2.8

Composite 4.3/10 (Developing), 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-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time531ms−8ms
first ⅓ avg 539ms → last ⅓ avg 531ms
Headshot accuracy13.6%−1.7%
first ⅓ avg 15.4% → last ⅓ avg 13.6%

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 · 13–7 · anubis, 4 Sept →
100%Best headshot accuracy · 2–0 · nuke, 7 Sept →
391msFastest reaction time · 7–13 · ancient, 3 Oct →
13–1Biggest win · inferno, 16 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
5–8In matches decided by ≤2 rounds
1Overtime games

Map breakdown

cacheBest map · 56% over 9mirageWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B178–947%-0.01
nukeC145–936%0.02
ancientD132–1115%0.01
anubisC135–838%-0.00
infernoB115–645%0.01
cacheA95–456%-0.01
mirageD81–713%-0.03
train—43–175%-0.00
office—40–40%-0.05
vertigo—43–175%-0.03
overpass—32–167%0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (13% over 8). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

80,049Lifetime kills
0.83K/D
4,655Matches
36.3%Match win rate
38.2%Headshot %
1.4%Shot accuracy
7,600MVPs
1,736Hours (in match)
2,701Bombs planted
1,126Bombs defused

Most-used weapons

AK-4723,707
AWP12,812
MAC-101,946
MP91,882
SSG 081,324

Lifetime map wins

5,784nuke
4,377inferno
3,719dust2
2,844vertigo
1,420train
251office
28italy
11cbble

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

Faceit stats

Combat

239Matches
48%Win rate
1.01Avg K/D
76.6ADR
32%Headshot %

Clutches & streaks

32%1v1 clutch win
20%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Ancient7244%1.0014.9
Nuke4562%1.1414.5
Anubis3653%1.2216.9
Mirage3247%0.8513.0
Inferno2124%0.8413.8
Overpass1233%0.9515.3
Train989%1.0115.2
Dust2812%0.7412.6

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.

13.4%Headshot accuracy
31.2%Accuracy (enemy spotted)
32.6%Spray accuracy
69.9%Counter-strafing
10.1°Preaim
529msReaction time
57.7%T opening success
29.1%CT opening success
0.50Enemies flashed / flash
4.1%Flash assists
8.04HE damage / grenade
8.10Flashes / 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 13.3766% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 29.1168% — below the 40% mark we flag

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.

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage4–13-0.0217%18 Oct →
mirage9–13-0.0535%16 Oct →
inferno13–10.0419%16 Oct →
ancient2–13-0.0418%15 Oct →
nuke13–80.0816%15 Oct →
nuke13–50.0324%14 Oct →
train13–9-0.0412%12 Oct →
inferno8–30.0214%12 Oct →
anubis13–16-0.0411%12 Oct →
nuke2–13-0.0116%12 Oct →
overpass8–130.0911%11 Oct →
nuke10–13-0.0514%11 Oct →
dust20–13-0.076%11 Oct →
nuke13–80.0411%10 Oct →
cache13–90.025%10 Oct →
office9–13-0.0810%10 Oct →
anubis13–4-0.0614%10 Oct →
dust210–13-0.092%9 Oct →
nuke10–130.1121%8 Oct →
cache13–8-0.0311%7 Oct →
anubis11–13-0.0910%7 Oct →
nuke13–8-0.016%7 Oct →
inferno13–4-0.0415%7 Oct →
inferno8–13-0.018%5 Oct →
anubis13–10-0.047%4 Oct →
ancient7–130.0810%3 Oct →
anubis8–130.0312%2 Oct →
dust213–7-0.0224%2 Oct →
anubis10–13-0.0516%2 Oct →
dust211–130.0314%28 Sept →
overpass13–70.0214%27 Sept →
vertigo13–110.0517%27 Sept →
vertigo13–9-0.0412%27 Sept →
train13–8-0.0710%27 Sept →
cache11–130.0117%26 Sept →
cache13–60.029%26 Sept →
dust213–90.039%26 Sept →
mirage13–20.0514%26 Sept →
ancient13–70.0114%26 Sept →
anubis13–60.0811%26 Sept →
cache5–13-0.0333%26 Sept →
mirage9–130.0118%26 Sept →
dust28–90.0020%26 Sept →
anubis6–13-0.0316%25 Sept →
ancient10–13-0.009%24 Sept →
mirage6–13-0.068%24 Sept →
dust212–12-0.0112%23 Sept →
ancient12–120.028%23 Sept →
nuke5–130.059%23 Sept →
vertigo13–8-0.1113%23 Sept →
anubis11–130.0211%23 Sept →
vertigo2–130.007%23 Sept →
dust213–10-0.0510%23 Sept →
nuke3–10-0.0316%23 Sept →
nuke0–5-0.0410%23 Sept →
dust27–13-0.039%23 Sept →
ancient12–120.0912%22 Sept →
overpass13–50.0612%18 Sept →
dust213–110.0116%18 Sept →
dust210–130.0318%16 Sept →
anubis2–130.038%16 Sept →
nuke12–12-0.039%14 Sept →
cache13–9-0.0314%13 Sept →
ancient13–30.0021%12 Sept →
inferno5–13-0.069%12 Sept →
inferno8–130.079%10 Sept →
dust213–9-0.034%9 Sept →
office11–130.039%7 Sept →
cache6–13-0.0411%7 Sept →
ancient5–130.0414%7 Sept →
inferno13–90.1010%7 Sept →
nuke2–00.09100%7 Sept →
ancient8–130.043%7 Sept →
anubis5–13-0.029%7 Sept →
dust213–80.0216%7 Sept →
office11–13-0.103%7 Sept →
dust213–110.038%7 Sept →
ancient4–13-0.068%7 Sept →
cache13–3-0.016%6 Sept →
train13–30.0221%6 Sept →
inferno11–130.0013%4 Sept →
anubis13–70.1117%4 Sept →
dust213–11-0.059%3 Sept →
ancient8–13-0.017%3 Sept →
train5–130.0715%2 Sept →
dust24–13-0.0019%2 Sept →
mirage5–13-0.0313%2 Sept →
ancient5–13-0.0010%2 Sept →
dust212–12-0.0320%2 Sept →
cache5–13-0.0312%1 Sept →
mirage1–13-0.0830%1 Sept →
mirage12–12-0.0613%31 Aug →
inferno1–13-0.1013%31 Aug →
nuke5–130.0410%31 Aug →
nuke10–130.0018%31 Aug →
ancient5–13-0.016%31 Aug →
inferno13–40.0114%30 Aug →
inferno3–130.1016%30 Aug →
office9–13-0.0624%30 Aug →
anubis13–20.0414%30 Aug →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.