Sway.

Sway. — CS2 Stats

76561199082091449[U:1:1121825721]Steam profile ↗✓ No bans

1,685Tracked matches39%Win rate2025Tracked since
2,253Hours in CS13Hrs last 2 wks
CSDB Rating5.0 DevelopingOpening Duellist
Premier CS Rating12,235Blue band · top ~43.1% of ranked players (population est.)
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 2026 (2 days ago). 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: 12,235 -2,351 9 Sept – 26 Oct · 37 days played
12,23516,652peak 16,6529 Sept26 Oct
16,870Peak Premier in tracked matches
33Days played since 2026-09-09

Premier CS Rating

  • 4,417 below peak (16,652)
  • -1,766 over 30 days · declining
  • Next: Purple band at 15,000 — 2,765 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-14
  • Blue band first seen 2026-09-09

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 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 rate51.4%42.0%44.4%above
Shot accuracy0.1%9.6%11.9%11.8% short
Kill/death ratio0.990.981.030.04 short
Match win rate51.3%43.8%45.2%above

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

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.GGSway.PREMIER12,235 · Blue 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

Aim63
Positioning59
Utility30

0–100 skill scores via Leetify.

Recent form

COLD48–46–6Last 10048%Win rateLWLLLLWLWT

Last 10 vs previous 10: 0pp win rate · −0.03 avg rating · −1.2pp headshot accuracy · −45ms reaction

Win rate 0pp 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 -0.04
  • Avg headshot accuracy 22%
  • Avg reaction 647ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 623ms

Last 20

  • 6–12–2 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 645ms

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: Opening Duellist — Winning opening duels is what stands out in this profile (+1.3 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.

Aim6.3
Utility3.0
Positioning5.9
Opening Duels6.4

Limited utility dependence

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

s1mple

Plays most like s1mple 89% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 652ms 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

Aim6.3
Positioning5.9
Utility3.0
Mechanics6.4
Opening Duels6.1
Win Impact1.4

Composite 5.0/10 (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-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time655ms+51ms
first ⅓ avg 604ms → last ⅓ avg 655ms
Headshot accuracy21.9%+0.5%
first ⅓ avg 21.4% → last ⅓ avg 21.9%

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 · 13–4 · inferno, 26 Sept →
41%Best headshot accuracy · 13–6 · inferno, 24 Sept →
461msFastest reaction time · 4–13 · ancient, 12 Oct →
13–1Biggest win · cache, 20 Sept →

Across the last 100 tracked matches.

Highlights

10Longest win streak
4–5In matches decided by ≤2 rounds
13Overtime games

Map breakdown

mirageBest map · 67% over 24anubisWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
mirageS2416–867%0.00
dust2C208–1240%-0.01
infernoC167–944%0.01
ancientB147–750%-0.01
nukeC94–544%-0.01
cacheC94–544%-0.00
anubisD82–625%-0.04

Across the last 100 tracked matches.

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

Lifetime stats

42,096Lifetime kills
0.99K/D · Top 50% of Blue band
2,584Matches
51.3%Match win rate · Top 10% of Blue band
51.4%Headshot % · Top 25% of Blue band
0.1%Shot accuracy
6,170MVPs
1,012Hours (in match)
2,027Bombs planted
674Bombs defused

Most-used weapons

Lifetime map wins

5,546dust2
3,855inferno
3,707nuke
1,307train
207vertigo
30office

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

21.6%Headshot accuracy
31.4%Accuracy (enemy spotted)
33.2%Spray accuracy
78.9%Counter-strafing
8.8°Preaim
652msReaction time
50.7%T opening success
58.1%CT opening success
0.41Enemies flashed / flash
1.8%Flash assists
12.23HE damage / grenade
2.67Flashes / 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 0.4149 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Anubis

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.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage9–13-0.0123%26 Oct →
ancient13–8-0.0419%25 Oct →
mirage9–13-0.0519%24 Oct →
dust210–13-0.0222%23 Oct →
nuke4–13-0.0924%23 Oct →
nuke11–13-0.0121%22 Oct →
mirage13–50.0420%21 Oct →
ancient8–13-0.0230%21 Oct →
mirage13–100.0313%20 Oct →
ancient15–15-0.0512%19 Oct →
dust23–13-0.0222%18 Oct →
inferno7–130.0520%17 Oct →
cache9–130.0119%14 Oct →
dust29–13-0.0518%14 Oct →
inferno10–130.0323%14 Oct →
mirage15–150.0417%13 Oct →
dust213–60.0032%13 Oct →
dust26–13-0.0228%13 Oct →
inferno13–7-0.0224%13 Oct →
dust213–90.0415%13 Oct →
ancient4–130.049%12 Oct →
inferno13–9-0.0121%12 Oct →
mirage13–9-0.0514%12 Oct →
mirage3–13-0.0613%11 Oct →
mirage13–70.0133%11 Oct →
anubis3–13-0.0828%11 Oct →
dust24–13-0.0730%11 Oct →
inferno6–130.0325%10 Oct →
inferno13–110.0224%9 Oct →
inferno13–60.0938%8 Oct →
inferno11–13-0.0228%8 Oct →
anubis13–9-0.0816%7 Oct →
dust27–13-0.1021%7 Oct →
mirage13–100.0514%7 Oct →
dust26–13-0.0818%6 Oct →
inferno13–10-0.0428%6 Oct →
dust213–90.0319%6 Oct →
mirage13–40.0227%6 Oct →
nuke13–80.0224%5 Oct →
ancient13–80.0325%5 Oct →
cache13–11-0.0312%5 Oct →
mirage13–50.0314%4 Oct →
ancient13–7-0.0022%1 Oct →
mirage16–13-0.0016%30 Sept →
nuke13–9-0.0123%30 Sept →
cache8–13-0.0315%30 Sept →
mirage13–40.0431%29 Sept →
cache10–130.0638%29 Sept →
inferno9–13-0.0517%29 Sept →
mirage13–70.0123%29 Sept →
anubis9–13-0.0721%28 Sept →
dust213–70.0821%28 Sept →
inferno13–16-0.0815%28 Sept →
ancient13–100.0420%28 Sept →
mirage15–15-0.0118%27 Sept →
mirage13–8-0.0126%27 Sept →
dust213–7-0.0013%27 Sept →
nuke15–150.0519%26 Sept →
inferno13–40.1133%26 Sept →
cache13–8-0.0221%26 Sept →
mirage10–13-0.0421%25 Sept →
ancient12–16-0.049%25 Sept →
mirage13–160.0214%25 Sept →
dust213–7-0.0420%25 Sept →
cache13–10-0.0116%25 Sept →
dust28–130.0222%25 Sept →
mirage3–00.000%25 Sept →
nuke13–9-0.0023%25 Sept →
nuke10–13-0.0613%25 Sept →
cache8–13-0.0612%24 Sept →
cache1–12-0.0225%24 Sept →
ancient13–11-0.0416%24 Sept →
mirage13–8-0.0722%24 Sept →
mirage11–130.0718%24 Sept →
anubis11–13-0.0326%24 Sept →
anubis6–13-0.0320%24 Sept →
anubis9–130.0225%24 Sept →
inferno13–6-0.0141%24 Sept →
inferno10–13-0.0029%23 Sept →
dust213–16-0.0219%23 Sept →
dust213–80.0127%23 Sept →
dust28–130.0130%22 Sept →
anubis13–110.0120%22 Sept →
ancient15–15-0.0521%22 Sept →
ancient7–13-0.0221%21 Sept →
nuke15–15-0.0121%21 Sept →
inferno11–130.0329%21 Sept →
nuke13–80.0223%21 Sept →
ancient13–5-0.0418%20 Sept →
cache13–10.089%20 Sept →
mirage13–40.0420%20 Sept →
ancient13–60.0922%20 Sept →
dust213–9-0.0016%20 Sept →
inferno5–13-0.0318%20 Sept →
mirage16–13-0.0612%20 Sept →
dust27–13-0.0220%20 Sept →
anubis10–13-0.0325%20 Sept →
dust29–13-0.0315%20 Sept →
ancient13–16-0.0325%20 Sept →
mirage13–3-0.0122%20 Sept →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-Win Streak
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.