sullz

sullz — CS2 Stats

GB76561198197601213[U:1:237335485]Steam profile ↗✓ No bans

868Tracked matches73%Win rate2020Tracked since
5,108Hours in CS8Hrs last 2 wks
CSDB Rating6.7 SolidSupport
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (31 days ago). Ranks are recorded once per day this page is viewed.

+23Tracked matches · now 868
+3.3ppWin rate · 70.0% → 73.3%

Rating over time

Premier CS Rating: 19,657 +546 3 Dec – 5 Dec · 2 days played
19,11119,657peak 19,6573 Dec5 Dec
19,760Peak Premier in tracked matches
44Days played since 2024-02-29

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches23——
Win rate43%——
K/D0.96——
Headshot %46%——

Measured 13 Sep 2026 → 14 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 Level 8 among CSDB-tracked players (n=15,030), 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 8 medianLevel 9 medianvs Level 9
Headshot rate44.0%46.8%48.2%4.2% short
Shot accuracy16.3%13.0%13.3%above
Kill/death ratio0.961.061.070.11 short
Match win rate49.0%46.3%46.9%above

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGsullzFACEITLevel 8STANDINGTop 31.2% of rankedcsdb.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
Positioning58
Utility69

0–100 skill scores via Leetify.

Recent form

STEADY61–38–1Last 10061%Win rateWLWWWLWWWL

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · +2.5pp headshot accuracy · +22ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 580ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 595ms

Last 20

  • 15–5 · 75% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 585ms

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 (+1.9 against its own average).

Aim7.2
Utility6.9
Positioning5.8
Opening Duels5.5
Clutch1.8

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

m0NESY

Plays most like m0NESY 82% 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 →

Strengths & areas to improve

Strengths

Flashes. 0.77 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 601ms 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

Aim7.2
Positioning5.8
Utility6.9
Mechanics6.0
Opening Duels4.4
Win Impact10.0

Composite 6.7/10 (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 rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time597ms−29ms
first ⅓ avg 626ms → last ⅓ avg 597ms
Headshot accuracy19.1%+1.0%
first ⅓ avg 18.1% → last ⅓ avg 19.1%

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 · 13–8 · anubis, 1 Mar →
42%Best headshot accuracy · 4–13 · dust2, 16 Aug →
430msFastest reaction time · 13–0 · inferno, 29 Nov →
13–0Biggest win · inferno, 29 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
11–7In matches decided by ≤2 rounds
14Overtime games

Map breakdown

infernoBest map · 80% over 15ancientWeakest map · 50% over 12
MapGradePlayedRecordWin rateAvg rating
mirageA3018–1260%0.00
anubisB179–853%0.01
dust2A1610–663%-0.01
infernoS1512–380%0.02
ancientB126–650%-0.01
cache—42–250%-0.01
overpass—32–167%-0.01
train—22–0100%0.01
vertigo—10–10%-0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (50% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

123,861Lifetime kills
0.96K/D
5,074Matches
49.0%Match win rate · Top 50% of Level 8 players
44.0%Headshot %
16.3%Shot accuracy · Top 25% of Level 8 players
13,450MVPs
3,145Hours (in match)
4,587Bombs planted
2,055Bombs defused

Most-used weapons

AK-4746,127
AWP14,287
P2503,199
Knife3,085
Tec-91,710
SG 5531,571

Lifetime map wins

10,553inferno
10,046dust2
2,752train
2,492cbble
679vertigo
138nuke

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

Faceit stats

Combat

3,160Matches
50%Win rate
1.07Avg K/D
69.1ADR
43%Headshot %

Clutches & streaks

29%1v1 clutch win
4%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage10446%0.9814.5
Anubis6859%1.0915.4
Ancient5151%0.9714.1
Inferno4549%1.0314.1
Dust23847%0.8812.7
Overpass2650%0.9314.1
Vertigo1527%0.8714.0
Cache1450%0.8713.6

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.

17.6%Headshot accuracy
36.8%Accuracy (enemy spotted)
38.6%Spray accuracy
77.1%Counter-strafing
9.2°Preaim
601msReaction time
46.0%T opening success
49.3%CT opening success
0.77Enemies flashed / flash
5.5%Flash assists
9.86HE damage / grenade
17.96Flashes / match

Recent matches

MapScoreRatingHS%Date
cache13–100.0515%6 Oct →
inferno9–13-0.0026%23 Sept →
mirage13–8-0.0121%11 Sept →
mirage13–110.0021%11 Sept →
inferno13–80.0129%11 Sept →
mirage18–220.0119%11 Sept →
mirage13–10-0.0326%9 Sept →
dust213–80.0132%9 Sept →
mirage16–14-0.048%8 Sept →
cache13–16-0.0510%8 Sept →
mirage13–9-0.0019%7 Sept →
inferno13–10.0418%7 Sept →
dust212–2-0.0224%5 Sept →
inferno9–130.0315%29 Aug →
mirage13–7-0.0129%28 Aug →
cache13–8-0.038%28 Aug →
mirage13–11-0.116%22 Aug →
dust24–13-0.0642%16 Aug →
mirage13–20.019%14 Aug →
dust213–30.0313%14 Aug →
anubis13–50.0212%14 Aug →
mirage10–13-0.0227%14 Aug →
inferno13–11-0.0010%11 Aug →
anubis14–16-0.0620%10 Aug →
mirage13–50.0319%6 Aug →
dust216–14-0.0410%6 Aug →
dust213–10-0.0313%3 Aug →
anubis13–90.0214%3 Aug →
mirage13–10.0413%3 Aug →
dust223–25-0.0413%2 Aug →
mirage10–13-0.0211%2 Aug →
mirage16–14-0.0438%31 Jul →
dust213–30.1238%31 Jul →
cache9–13-0.0217%31 Jul →
inferno13–10-0.0316%27 Jul →
dust24–13-0.1131%27 Jul →
ancient7–13-0.0521%13 Apr →
mirage13–110.0420%13 Apr →
dust213–100.0525%8 Apr →
mirage13–90.0215%8 Apr →
ancient16–14-0.018%3 Apr →
mirage11–130.0124%3 Apr →
dust211–13-0.0315%1 Apr →
anubis10–13-0.0614%1 Apr →
inferno13–70.0516%1 Apr →
mirage13–40.0317%30 Mar →
ancient13–16-0.0620%30 Mar →
dust29–130.0215%28 Mar →
inferno8–130.0233%28 Mar →
dust210–13-0.0318%21 Jul →
mirage13–6-0.0219%15 Jul →
dust213–9-0.0310%15 Jul →
mirage13–16-0.0310%14 Jul →
dust213–10-0.0316%14 Jul →
dust213–100.0121%9 Dec →
train8–0-0.0222%9 Dec →
mirage13–160.0617%5 Dec →
anubis13–80.0111%5 Dec →
mirage11–13-0.0215%3 Dec →
ancient13–110.0415%3 Dec →
inferno13–80.0325%3 Dec →
mirage13–10.0425%2 Dec →
ancient13–30.0012%2 Dec →
inferno13–2-0.0221%2 Dec →
anubis12–120.0623%29 Nov →
ancient13–3-0.0419%29 Nov →
train13–90.0312%29 Nov →
inferno13–0-0.0016%29 Nov →
vertigo7–13-0.069%4 Apr →
anubis9–13-0.0614%4 Apr →
ancient10–13-0.057%4 Apr →
overpass13–30.0327%4 Apr →
mirage13–100.0318%10 Mar →
inferno13–30.0727%10 Mar →
anubis11–130.0117%10 Mar →
anubis6–13-0.0715%8 Mar →
anubis13–16-0.058%7 Mar →
ancient10–13-0.0111%7 Mar →
mirage8–130.0123%6 Mar →
anubis13–100.0616%6 Mar →
mirage13–80.0322%6 Mar →
inferno13–90.0623%5 Mar →
ancient10–130.0615%5 Mar →
anubis13–7-0.0111%5 Mar →
overpass13–100.0119%4 Mar →
inferno13–70.0018%4 Mar →
ancient13–90.0327%3 Mar →
anubis14–16-0.0224%3 Mar →
anubis22–20-0.0121%2 Mar →
anubis13–60.0516%2 Mar →
ancient2–13-0.095%2 Mar →
mirage7–130.0324%1 Mar →
inferno13–100.0413%1 Mar →
anubis13–80.1524%1 Mar →
overpass10–13-0.0713%1 Mar →
ancient13–110.0516%1 Mar →
mirage6–13-0.0421%1 Mar →
mirage10–13-0.0214%1 Mar →
anubis13–90.0830%1 Mar →
mirage10–130.0233%29 Feb →

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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