Sul1

Sul1 — CS2 Stats

CH76561198064233749[U:1:103968021]Steam profile ↗✓ No bans

3,104Tracked matches41%Win rate2020Tracked since
6,681Hours in CS42Hrs last 2 wks
CSDB Rating5.8 SolidPositional Player
Premier CS Rating21,091Top 50% of 213,211 CSDB-tracked playersPink band · top ~7.3% of ranked players (population est.)
CSDB Leaderboard#68822 of 259962 tracked
FaceitLevel 10 · 2,266 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 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: 21,091 -1,061 29 Jul – 4 Nov · 19 days played
21,09122,937peak 22,93729 Jul4 Nov
22,937Peak Premier in tracked matches
2,403Highest Faceit ELO seen on CSDB
41Days played since 2026-07-16

Faceit ELO

  • 137 below peak (2,403)
  • Next: 2,500 ELO at 2,500 — 234 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-02
  • Level 9 first seen 2026-09-02

Premier CS Rating

  • 1,846 below peak (22,937)
  • -471 over 30 days · declining
  • -1,846 over 90 days
  • Next: Red band at 25,000 — 3,909 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 recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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 10 median
Headshot rate39.9%50.9%
Shot accuracy13.4%13.7%
Kill/death ratio1.031.09
Match win rate45.2%48.4%

Share this profile

CSDB.GGSul1FACEITLevel 10 · 2,266 ELOSTANDINGTop 12.4% of rankedPREMIER21,091 · Pink bandPEAK ELO2,403csdb.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

Aim72
Positioning70
Utility46

0–100 skill scores via Leetify.

Recent form

COLD40–58–2Last 10040%Win rateLWLLLLWWLL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −2.3pp headshot accuracy · −76ms 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

  • 1–4 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 435ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 449ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 487ms

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).

Aim7.2
Utility4.6
Positioning7.0
Opening Duels5.2
Clutch3.2

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

donk

Plays most like donk 85% 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. 62% T opening-duel success — entries that actually open the round.

Areas to improve

Counter-strafing. Only 65% 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

Aim7.2
Positioning7.0
Utility4.6
Mechanics3.4
Opening Duels7.5
Win Impact2.1

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 rating0.03−0.00
first ⅓ avg 0.03 → last ⅓ avg 0.03
Reaction time485ms−75ms
first ⅓ avg 561ms → last ⅓ avg 485ms
Headshot accuracy22.3%+1.4%
first ⅓ avg 21.0% → last ⅓ avg 22.3%

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

0.17Best match rating · 13–4 · anubis, 18 Jul →
43%Best headshot accuracy · 3–2 · inferno, 27 Oct →
375msFastest reaction time · 11–13 · mirage, 4 Nov →
13–0Biggest win · ancient, 26 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
7–15In matches decided by ≤2 rounds
15Overtime games

Map breakdown

nukeBest map · 67% over 12infernoWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
anubisB2612–1446%0.05
dust2C177–1041%0.02
ancientC166–1038%0.03
nukeS128–467%0.01
cacheC125–742%0.03
infernoD91–811%0.01
mirageD81–713%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

167,037Lifetime kills
1.03K/D
8,170Matches
45.2%Match win rate
39.9%Headshot %
13.4%Shot accuracy
23,492MVPs
3,455Hours (in match)
8,619Bombs planted
2,817Bombs defused

Most-used weapons

AK-4747,384
AWP37,626
Knife5,114
MP92,723
MAC-102,668
FAMAS2,523

Lifetime map wins

21,554dust2
12,173vertigo
8,250inferno
3,763train
3,307nuke
696cbble
211office
131lake

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

Faceit stats

Combat

3,417Matches
50%Win rate
1.10Avg K/D
79.2ADR
38%Headshot %

Clutches & streaks

36%1v1 clutch win
21%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient48451%1.1015.4
Anubis38151%1.1316.7
Dust227846%1.0315.5
Inferno19246%1.0015.4
Mirage11946%1.0015.6
Overpass11456%1.0115.9
Train7355%1.2216.6
Nuke7138%1.0215.9

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.

22.6%Headshot accuracy
33.8%Accuracy (enemy spotted)
34.3%Spray accuracy
65.4%Counter-strafing
9.5°Preaim
484msReaction time
62.4%T opening success
57.9%CT opening success
0.51Enemies flashed / flash
3.4%Flash assists
6.75HE damage / grenade
7.99Flashes / 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.

11% 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
mirage14–160.0218%4 Nov →
anubis13–80.0715%4 Nov →
mirage11–130.0134%4 Nov →
nuke8–13-0.0320%4 Nov →
inferno9–13-0.0017%4 Nov →
inferno8–130.0520%1 Nov →
anubis13–60.0830%1 Nov →
dust213–90.0230%31 Oct →
dust211–13-0.0120%31 Oct →
nuke13–160.0120%29 Oct →
nuke13–70.0312%27 Oct →
anubis11–13-0.0521%27 Oct →
inferno3–20.0143%27 Oct →
cache12–120.0528%24 Oct →
cache4–13-0.0229%24 Oct →
dust213–50.0817%24 Oct →
anubis8–130.0113%23 Oct →
nuke13–50.0920%19 Oct →
inferno13–160.0430%19 Oct →
inferno13–160.0535%14 Oct →
nuke13–60.1126%14 Oct →
nuke11–13-0.0516%13 Oct →
ancient13–20.0511%13 Oct →
ancient6–130.0915%11 Oct →
nuke16–12-0.0026%11 Oct →
dust212–160.0625%9 Oct →
mirage14–160.1020%6 Oct →
mirage13–40.0219%2 Oct →
dust213–100.0531%23 Sept →
dust27–13-0.0223%21 Sept →
anubis3–13-0.008%21 Sept →
anubis13–50.0519%20 Sept →
ancient6–13-0.0129%17 Sept →
anubis11–13-0.0124%17 Sept →
ancient8–13-0.0411%16 Sept →
anubis13–30.1020%16 Sept →
anubis10–130.0330%16 Sept →
dust27–130.0114%15 Sept →
anubis13–60.0220%11 Sept →
ancient6–130.028%11 Sept →
cache11–130.1020%11 Sept →
ancient9–130.0730%10 Sept →
cache13–90.0329%10 Sept →
dust23–13-0.090%10 Sept →
cache13–100.0723%9 Sept →
ancient7–13-0.0918%8 Sept →
cache13–110.1223%27 Aug →
anubis10–130.1017%27 Aug →
ancient13–5-0.0117%23 Aug →
cache13–50.0326%13 Aug →
ancient13–160.1013%13 Aug →
anubis7–130.0614%13 Aug →
dust213–110.0425%10 Aug →
inferno15–19-0.059%8 Aug →
dust22–130.0037%7 Aug →
mirage2–13-0.0412%7 Aug →
nuke13–60.0625%5 Aug →
dust213–40.0326%5 Aug →
anubis13–40.0121%4 Aug →
ancient7–13-0.0430%4 Aug →
inferno5–130.0133%4 Aug →
anubis13–60.1035%3 Aug →
anubis14–160.0422%3 Aug →
dust24–13-0.0425%3 Aug →
cache7–13-0.0123%3 Aug →
ancient13–30.1422%2 Aug →
dust213–50.0621%2 Aug →
anubis10–130.0631%2 Aug →
anubis19–170.0415%2 Aug →
mirage3–13-0.0122%2 Aug →
anubis11–130.008%2 Aug →
cache14–16-0.0222%29 Jul →
nuke13–8-0.0316%29 Jul →
cache13–16-0.0316%29 Jul →
nuke13–70.0124%29 Jul →
anubis13–110.0112%29 Jul →
nuke13–80.0023%29 Jul →
ancient13–8-0.0124%29 Jul →
dust27–13-0.0632%28 Jul →
cache13–70.0125%27 Jul →
anubis13–100.0329%27 Jul →
mirage6–13-0.0024%27 Jul →
dust213–90.0734%27 Jul →
ancient10–130.0619%26 Jul →
cache8–130.0220%26 Jul →
ancient13–00.000%26 Jul →
nuke6–13-0.0514%20 Jul →
inferno6–130.0130%20 Jul →
anubis16–140.0328%20 Jul →
anubis9–130.0416%18 Jul →
ancient13–110.1119%18 Jul →
dust211–130.0827%18 Jul →
anubis13–40.1728%18 Jul →
anubis10–130.0826%18 Jul →
dust25–130.0122%18 Jul →
inferno11–130.0119%18 Jul →
anubis15–150.1218%16 Jul →
ancient7–130.0419%16 Jul →
mirage11–130.1316%16 Jul →
anubis11–130.0713%16 Jul →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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