SB

SB — CS2 Stats

NO76561197988559958[U:1:28294230]Steam profile ↗✓ No bans

1,366Tracked matches62%Win rate2020Tracked since
17,931Hours in CS169Hrs last 2 wks
CSDB Rating6.2 SolidPositional Player
Premier CS Rating19,862Top 50% of 210,832 CSDB-tracked playersPurple band · top ~9% of ranked players (population est.)
CSDB Leaderboard#87897 of 257797 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 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: 19,862 +624 9 Jun – 26 Oct · 23 days played
16,53819,862peak 19,8629 Jun26 Oct
19,999Peak Premier in tracked matches
37Days played since 2026-06-09

Premier CS Rating

  • At peak — 19,862
  • +3,222 over 30 days · improving
  • Next: Pink band at 20,000 — 138 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-13
  • Blue band first seen 2026-09-13

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=15,132), 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 9 medianLevel 10 medianvs Level 10
Headshot rate46.7%48.2%50.9%4.3% short
Shot accuracy10.8%13.2%13.7%2.9% short
Kill/death ratio1.051.071.090.03 short
Match win rate49.8%46.9%48.4%above

This profile matches the typical Level 10 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSBFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER19,862 · Purple bandcsdb.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

Aim67
Positioning70
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY59–40–1Last 10059%Win rateLWLWWWLLLW

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · −2.8pp headshot accuracy · +61ms reaction

Win rate down 20pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 541ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 545ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 515ms

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 against its own average).

Aim6.7
Utility5.4
Positioning7.0
Opening Duels4.1
Clutch3.6

Effective flashes

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: positioning profile, utility contribution.

Where you differ: 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

Strengths

T openings. 64% T opening-duel success — entries that actually open the round.

Areas to improve

Counter-strafing. Only 63% 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

Aim6.7
Positioning7.0
Utility5.4
Mechanics2.9
Opening Duels6.8
Win Impact9.0

Composite 6.2/10 (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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time525ms−30ms
first ⅓ avg 555ms → last ⅓ avg 525ms
Headshot accuracy15.5%−8.7%
first ⅓ avg 24.2% → last ⅓ avg 15.5%

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 · 13–2 · dust2, 18 Aug →
50%Best headshot accuracy · 13–2 · dust2, 18 Aug →
375msFastest reaction time · 3–13 · inferno, 16 Jun →
13–1Biggest win · cache, 29 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
11–7In matches decided by ≤2 rounds
13Overtime games

Map breakdown

cacheBest map · 75% over 16infernoWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
dust2A2516–964%0.04
mirageS2013–765%0.01
cacheS1612–475%0.01
ancientB126–650%0.02
anubisB115–645%0.01
infernoD93–633%0.04
nukeB63–350%0.01
vertigo—11–0100%-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

116,994Lifetime kills
1.05K/D
3,721Matches
49.8%Match win rate · Top 25% of Level 9 players
46.7%Headshot %
10.8%Shot accuracy
10,172MVPs
3,124Hours (in match)
3,581Bombs planted
896Bombs defused

Most-used weapons

AK-4740,927
AWP6,605
Knife2,137
FAMAS1,655
MP71,333

Lifetime map wins

9,766dust2
5,507inferno
3,097vertigo
2,975nuke
1,606train
318cbble
104office
24italy

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

Faceit stats

Combat

194Matches
57%Win rate
1.13Avg K/D
88.4ADR
48%Headshot %

Clutches & streaks

38%1v1 clutch win
21%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Dust27358%1.2016.3
Mirage3345%1.0414.0
Ancient2854%1.1117.6
Cache2475%1.3719.7
Anubis1553%1.0315.6
Inferno1275%1.0420.3
Nuke10%1.1721.0

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.

15.5%Headshot accuracy
34.0%Accuracy (enemy spotted)
38.1%Spray accuracy
62.8%Counter-strafing
7.6°Preaim
518msReaction time
63.7%T opening success
51.1%CT opening success
0.74Enemies flashed / flash
4.5%Flash assists
8.17HE damage / grenade
6.87Flashes / match

Recommended for you

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.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–16-0.029%27 Oct →
mirage13–8-0.026%27 Oct →
ancient6–130.0432%26 Oct →
mirage13–80.0519%26 Oct →
cache13–50.0114%26 Oct →
cache13–9-0.0419%26 Oct →
anubis11–130.0411%25 Oct →
inferno10–130.0520%25 Oct →
cache10–13-0.0011%24 Oct →
cache16–13-0.0311%24 Oct →
mirage13–50.018%23 Oct →
dust22–130.0124%22 Oct →
dust213–80.0720%22 Oct →
mirage9–130.029%22 Oct →
inferno13–100.1320%22 Oct →
cache16–120.0325%21 Oct →
ancient13–8-0.0120%20 Oct →
nuke11–130.0016%18 Oct →
anubis13–7-0.0613%18 Oct →
mirage13–80.0725%18 Oct →
dust213–6-0.0315%8 Oct →
anubis7–13-0.096%7 Oct →
dust213–40.0517%5 Oct →
ancient10–13-0.0111%5 Oct →
ancient13–100.0417%5 Oct →
cache13–50.0111%5 Oct →
mirage11–13-0.0524%5 Oct →
cache13–70.0110%3 Oct →
dust215–150.0212%3 Oct →
nuke13–80.0814%3 Oct →
mirage9–130.0018%3 Oct →
cache13–60.0215%2 Oct →
nuke5–130.0311%2 Oct →
mirage12–160.0215%2 Oct →
mirage13–11-0.0124%1 Oct →
mirage16–120.1115%1 Oct →
ancient13–90.0712%1 Oct →
cache13–90.0510%30 Sept →
cache13–10.0711%29 Sept →
cache10–13-0.0716%29 Sept →
ancient10–13-0.039%29 Sept →
cache13–110.0227%29 Sept →
inferno13–110.0416%29 Sept →
dust219–16-0.0315%27 Sept →
anubis13–100.0321%27 Sept →
dust213–40.1318%26 Sept →
mirage6–13-0.0228%26 Sept →
dust213–80.0613%26 Sept →
mirage5–13-0.0219%26 Sept →
mirage13–60.0231%24 Sept →
dust213–80.0413%23 Sept →
cache13–11-0.0112%14 Sept →
anubis12–16-0.0020%14 Sept →
anubis14–160.0824%8 Sept →
ancient8–130.0117%8 Sept →
anubis13–80.0518%6 Sept →
dust210–13-0.0018%3 Sept →
mirage13–110.0318%3 Sept →
dust213–10.0836%3 Sept →
cache13–50.0420%3 Sept →
inferno3–130.0624%25 Aug →
nuke12–16-0.0618%25 Aug →
ancient13–60.0611%25 Aug →
dust213–30.0832%25 Aug →
ancient13–16-0.0322%25 Aug →
inferno13–80.0821%24 Aug →
dust213–110.0232%24 Aug →
dust213–50.0023%24 Aug →
anubis9–13-0.034%24 Aug →
anubis13–50.0610%23 Aug →
ancient1–130.0131%23 Aug →
dust213–110.0926%23 Aug →
dust213–110.0037%21 Aug →
nuke13–11-0.0126%19 Aug →
dust25–13-0.0031%19 Aug →
ancient13–20.0512%19 Aug →
cache14–160.0324%19 Aug →
nuke13–30.0343%18 Aug →
dust213–70.0622%18 Aug →
dust213–20.1450%18 Aug →
inferno11–130.0013%18 Aug →
cache5–13-0.0226%30 Jul →
mirage13–60.0013%30 Jul →
dust25–130.0319%30 Jul →
mirage13–10.0721%30 Jul →
inferno3–130.0232%16 Jun →
mirage13–20.0126%16 Jun →
dust27–130.0033%16 Jun →
inferno11–130.0425%16 Jun →
dust210–130.0541%16 Jun →
inferno10–13-0.0823%15 Jun →
mirage10–13-0.0812%15 Jun →
dust29–130.0327%15 Jun →
mirage13–10-0.0227%15 Jun →
dust26–13-0.0524%14 Jun →
vertigo13–11-0.0013%13 Jun →
anubis16–140.0018%13 Jun →
dust213–90.057%13 Jun →
ancient13–80.0422%9 Jun →
mirage13–6-0.0538%9 Jun →

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 →

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