Swoosh

Swoosh — CS2 Stats

QA76561198112409225[U:1:152143497]Steam profile ↗✓ No bans

1,241Tracked matches57%Win rate2020Tracked since
1,380Hours in CS
CSDB Rating6.1 SolidSupport
Premier CS Rating15,965Purple band · top ~24.6% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Sep 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: 15,965 -4,499 27 May – 30 Sept · 24 days played
14,00020,834peak 20,83427 May30 Sept
21,583Peak Premier in tracked matches
32Days played since 2026-05-27

Premier CS Rating

  • 4,869 below peak (20,834)
  • +1,965 over 30 days · improving
  • -4,662 over 90 days
  • Next: Pink band at 20,000 — 4,035 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate40.4%44.3%46.9%6.6% short
Shot accuracy11.4%11.9%13.0%1.6% short
Kill/death ratio1.051.031.080.04 short
Match win rate42.9%45.2%46.7%3.7% short

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

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

Share this profile

CSDB.GGSwooshPREMIER15,965 · Purple bandcsdb.gg/stats

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Performance scores

Aim63
Positioning59
Utility67

0–100 skill scores via Leetify.

Recent form

HOT48–46–6Last 10048%Win rateLWWWWWLWWW

Last 10 vs previous 10: +40pp win rate · −0.01 avg rating · −2.4pp headshot accuracy · −31ms reaction

Win rate up 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 508ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 566ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 581ms

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 against its own average).

Aim6.3
Utility6.7
Positioning5.9
Opening Duels4.5

Strong CT-side opener

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 80% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

T-side openings. Opening success drops from 59% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

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
Utility6.7
Mechanics5.8
Opening Duels3.9
Win Impact7.4

Composite 6.1/10 (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-0.00+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.00
Reaction time563ms−56ms
first ⅓ avg 619ms → last ⅓ avg 563ms
Headshot accuracy17.8%−0.0%
first ⅓ avg 17.8% → last ⅓ avg 17.8%

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 · 13–1 · nuke, 2 Aug →
37%Best headshot accuracy · 13–9 · mirage, 27 May →
406msFastest reaction time · 13–6 · ancient, 29 Sept →
13–1Biggest win · nuke, 2 Aug →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

mirageBest map · 69% over 16nukeWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
infernoC228–1436%-0.00
ancientA2012–860%-0.01
mirageS1611–569%-0.00
dust2B157–847%-0.03
cacheC125–742%0.00
nukeD91–811%-0.00
anubisS64–267%0.00

Across the last 100 tracked matches.

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

Lifetime stats

57,071Lifetime kills
1.05K/D · Top 50% of Purple band
3,135Matches
42.9%Match win rate
40.4%Headshot %
11.4%Shot accuracy
6,442MVPs
1,380Hours (in match)
2,898Bombs planted
757Bombs defused

Most-used weapons

AK-4715,192
AWP8,342
P901,524
MAC-101,480
P2501,207

Lifetime map wins

8,409dust2
3,757inferno
2,488nuke
863vertigo
299train
121cbble
53office
28ar_shoots

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.

18.5%Headshot accuracy
29.9%Accuracy (enemy spotted)
32.1%Spray accuracy
76.3%Counter-strafing
8.9°Preaim
550msReaction time
32.0%T opening success
59.5%CT opening success
0.56Enemies flashed / flash
8.1%Flash assists
6.93HE damage / grenade
13.04Flashes / 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. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 32.0023% — below the 40% mark we flag

Spend your practice time on Nuke

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.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno6–13-0.0817%30 Sept →
mirage13–100.0618%29 Sept →
ancient13–6-0.018%29 Sept →
mirage13–90.0421%29 Sept →
dust213–5-0.0711%29 Sept →
dust213–3-0.0128%29 Sept →
ancient2–13-0.0619%29 Sept →
mirage13–20.044%29 Sept →
anubis13–80.0316%28 Sept →
inferno13–4-0.0518%28 Sept →
nuke10–130.0125%28 Sept →
cache13–90.0313%16 Sept →
anubis0–3-0.020%24 Aug →
cache9–130.0923%24 Aug →
cache11–13-0.0416%23 Aug →
ancient13–3-0.0521%23 Aug →
ancient13–30.0424%23 Aug →
ancient7–13-0.0311%22 Aug →
cache13–6-0.0427%22 Aug →
dust215–15-0.0222%22 Aug →
inferno15–150.0625%22 Aug →
inferno13–80.0416%21 Aug →
cache13–80.0316%21 Aug →
inferno13–9-0.0218%21 Aug →
inferno10–130.0613%21 Aug →
nuke11–13-0.0326%19 Aug →
ancient13–6-0.0216%19 Aug →
dust25–13-0.0521%19 Aug →
inferno5–130.0725%18 Aug →
nuke3–130.0213%18 Aug →
mirage13–9-0.0315%18 Aug →
inferno9–13-0.0619%17 Aug →
mirage6–13-0.0423%17 Aug →
anubis13–60.0315%15 Aug →
inferno10–13-0.0618%15 Aug →
inferno9–13-0.0020%15 Aug →
mirage10–7-0.029%13 Aug →
inferno15–15-0.0011%12 Aug →
nuke11–13-0.0225%11 Aug →
dust213–110.0313%10 Aug →
ancient13–90.018%8 Aug →
mirage13–5-0.0419%8 Aug →
ancient13–70.0914%8 Aug →
ancient12–16-0.0318%8 Aug →
dust25–13-0.0514%7 Aug →
ancient10–13-0.0616%7 Aug →
mirage13–50.1316%7 Aug →
cache3–130.0113%4 Aug →
inferno13–9-0.0214%3 Aug →
mirage4–13-0.0518%2 Aug →
dust210–13-0.0017%2 Aug →
cache6–13-0.0316%2 Aug →
nuke13–10.1428%2 Aug →
inferno15–150.0428%2 Aug →
cache7–20.0329%2 Aug →
inferno5–13-0.0123%2 Aug →
anubis3–13-0.0520%2 Aug →
cache13–90.0035%2 Aug →
ancient13–6-0.0117%2 Aug →
dust216–14-0.0214%2 Aug →
anubis13–20.0626%2 Aug →
nuke5–13-0.0214%2 Aug →
ancient13–30.0913%2 Aug →
cache10–130.0110%2 Aug →
mirage10–13-0.0222%2 Aug →
inferno16–140.0815%2 Aug →
ancient13–8-0.0219%2 Aug →
ancient6–130.0117%1 Aug →
nuke12–16-0.069%1 Aug →
dust213–70.0114%1 Aug →
cache11–13-0.0123%1 Aug →
inferno16–13-0.0118%26 Jul →
inferno13–40.1226%26 Jul →
inferno14–16-0.0515%25 Jul →
mirage2–13-0.1025%25 Jul →
dust21–13-0.0717%25 Jul →
nuke2–13-0.0723%25 Jul →
ancient13–10-0.0331%24 Jul →
inferno13–10-0.0210%24 Jul →
anubis13–11-0.0410%24 Jul →
ancient4–13-0.0221%23 Jul →
mirage13–60.1025%22 Jul →
dust213–3-0.0018%22 Jul →
cache5–13-0.0510%20 Jul →
ancient6–13-0.0613%20 Jul →
inferno10–13-0.0017%13 Jul →
dust215–15-0.075%5 Jul →
ancient13–8-0.0124%5 Jul →
dust213–11-0.037%28 May →
mirage4–13-0.1018%27 May →
ancient16–130.0120%27 May →
nuke6–13-0.0113%27 May →
ancient2–13-0.0919%27 May →
inferno8–13-0.0628%27 May →
mirage13–9-0.0137%27 May →
mirage13–6-0.0117%27 May →
dust21–8-0.0519%27 May →
mirage13–80.0116%27 May →
dust215–15-0.0614%27 May →
inferno8–13-0.078%27 May →

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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