SwanX~

SwanX~ — CS2 Stats

RO76561198043251364[U:1:82985636]Steam profile ↗✓ No bans

3,753Tracked matches34%Win rate2020Tracked since
9,673Hours in CS
CSDB Rating6.3 SolidSupport
Premier CS Rating26,527Top 5% of 215,386 CSDB-tracked playersRed band · top ~2.3% of ranked players (population est.)
CSDB Leaderboard#10073 of 261579 tracked
FaceitLevel 10 · 2,516 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 10 Nov 2026 (4 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: 26,527 +838 19 Apr – 10 Nov · 13 days played
22,62127,120peak 27,12019 Apr10 Nov
27,120Peak Premier in tracked matches
2,516Highest Faceit ELO seen on CSDB
59Days played since 2026-04-19

Faceit ELO

  • At peak — 2,516
  • Next: 3,000 ELO at 3,000 — 484 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
  • 2,500 ELO first seen 2026-09-10
  • Level 10 first seen 2026-09-10

Premier CS Rating

  • 593 below peak (27,120)
  • -10 over 30 days · steady
  • Next: Gold band at 30,000 — 3,473 to go
  • Reached: Red band · Pink band · Purple band · Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot 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 rate48.0%50.9%
Shot accuracy14.5%13.7%
Kill/death ratio1.071.09
Match win rate38.2%48.4%

Share this profile

CSDB.GGSwanX~FACEITLevel 10 · 2,516 ELOSTANDINGTop 12.4% of rankedPREMIER26,527 · Red bandPEAK ELO2,516csdb.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

Aim84
Positioning54
Utility72

0–100 skill scores via Leetify.

Recent form

STEADY42–55–3Last 10042%Win rateWLLLLWWWLL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · −4.5pp headshot accuracy · +3ms reaction

Win rate up 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

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 573ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 581ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 23%
  • Avg reaction 580ms

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 (+2.8 against its own average).

Aim8.4
Utility7.2
Positioning5.4
Opening Duels1.2
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

NiKo

Plays most like NiKo 78% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success.

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

Reaction time. 564ms 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

Aim8.4
Positioning5.4
Utility7.2
Mechanics7.1
Opening Duels2.5
Win Impact0.0

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time560ms−31ms
first ⅓ avg 591ms → last ⅓ avg 560ms
Headshot accuracy24.8%+0.5%
first ⅓ avg 24.2% → last ⅓ avg 24.8%

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

0.29Best match rating · 9–0 · inferno, 6 Jul →
100%Best headshot accuracy · 1–4 · anubis, 14 Jun →
383msFastest reaction time · 13–7 · anubis, 28 Aug →
13–0Biggest win · cache, 12 May →

Across the last 100 tracked matches.

Highlights

7Longest win streak
7–7In matches decided by ≤2 rounds
12Overtime games

Map breakdown

cacheBest map · 75% over 12mirageWeakest map · 8% over 12
MapGradePlayedRecordWin rateAvg rating
anubisC187–1139%-0.01
infernoC177–1041%0.01
ancientA1710–759%0.03
dust2C167–944%0.00
cacheS129–375%0.01
mirageD121–118%-0.02
nukeD61–517%-0.05
vertigo—10–10%-0.04
overpass—10–10%-0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (8% over 12). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

322,471Lifetime kills
1.07K/D
13,542Matches
38.2%Match win rate
48.0%Headshot %
14.5%Shot accuracy · Top 50% of Level 10 players
28,535MVPs
9,673Hours (in match)
14,387Bombs planted
3,175Bombs defused

Most-used weapons

AK-47121,446
AWP46,854
Glock-1810,717
FAMAS5,213
P2504,793
SSG 084,639
MAC-104,616

Lifetime map wins

26,013inferno
24,417dust2
6,765nuke
2,741vertigo
2,531train
905cbble
80assault
46safehouse

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

Faceit stats

Combat

3,307Matches
51%Win rate
1.11Avg K/D
78.0ADR
47%Headshot %

Clutches & streaks

38%1v1 clutch win
21%1v2 clutch win
15Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage53547%1.0114.6
Ancient39456%1.0915.5
Anubis31853%1.1215.4
Inferno29453%1.1015.5
Dust217445%1.0015.3
Nuke6050%0.9715.2
Vertigo5547%1.0815.5
Overpass3241%0.9715.4

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.

22.4%Headshot accuracy
36.7%Accuracy (enemy spotted)
40.6%Spray accuracy
81.9%Counter-strafing
9.1°Preaim
564msReaction time
44.1%T opening success
35.8%CT opening success
0.72Enemies flashed / flash
7.7%Flash assists
11.78HE damage / grenade
15.20Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 35.8263% — below the 40% mark we flag

Spend your practice time on Mirage

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

8% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–60.0223%10 Nov →
mirage12–16-0.0422%9 Nov →
inferno5–13-0.0217%5 Nov →
ancient4–13-0.0130%25 Oct →
anubis4–13-0.0123%23 Oct →
dust213–7-0.089%22 Oct →
anubis13–9-0.0121%16 Oct →
ancient13–40.0426%16 Oct →
dust27–13-0.0320%16 Oct →
dust28–130.0122%15 Oct →
vertigo11–13-0.0414%14 Oct →
inferno7–130.0122%14 Oct →
mirage3–13-0.0615%14 Oct →
anubis9–13-0.0524%8 Oct →
cache0–13-0.0567%7 Oct →
ancient9–130.0126%7 Oct →
inferno16–12-0.079%6 Oct →
mirage15–15-0.0021%21 Sept →
ancient13–60.0427%21 Sept →
anubis5–13-0.0233%21 Sept →
nuke2–13-0.0238%7 Sept →
cache5–00.0638%7 Sept →
dust23–130.1032%7 Sept →
mirage15–19-0.0513%5 Sept →
cache13–80.029%2 Sept →
anubis3–13-0.0129%2 Sept →
ancient13–30.0727%2 Sept →
ancient10–130.0520%1 Sept →
mirage5–13-0.0226%30 Aug →
anubis13–7-0.0123%28 Aug →
ancient13–8-0.0223%26 Aug →
cache13–60.0323%26 Aug →
ancient13–10.1947%26 Aug →
inferno13–100.0340%25 Aug →
ancient13–50.0533%24 Aug →
inferno7–130.0236%22 Aug →
mirage16–140.0424%22 Aug →
anubis4–13-0.0817%21 Aug →
inferno7–130.0317%18 Aug →
dust213–80.0529%28 Jul →
ancient13–80.0520%24 Jul →
nuke9–70.0820%24 Jul →
anubis13–100.0218%21 Jul →
dust213–20.1024%19 Jul →
dust213–40.0516%19 Jul →
inferno9–00.2947%6 Jul →
nuke1–9-0.1817%6 Jul →
nuke1–9-0.1613%6 Jul →
inferno9–70.1622%6 Jul →
cache13–7-0.0014%6 Jul →
cache13–8-0.0721%5 Jul →
ancient10–13-0.0123%29 Jun →
inferno12–120.0231%24 Jun →
dust28–130.0018%24 Jun →
anubis13–30.1239%24 Jun →
ancient13–60.0229%24 Jun →
inferno13–30.0033%23 Jun →
nuke9–130.0041%23 Jun →
overpass5–13-0.0318%16 Jun →
ancient7–13-0.0526%15 Jun →
anubis7–130.0330%15 Jun →
mirage6–13-0.0625%14 Jun →
anubis1–4-0.06100%14 Jun →
mirage9–13-0.0438%9 Jun →
dust26–13-0.0144%9 Jun →
mirage14–160.0435%8 Jun →
ancient3–130.0437%8 Jun →
dust29–13-0.0132%8 Jun →
cache16–19-0.0216%7 Jun →
inferno7–9-0.2017%2 Jun →
inferno9–7-0.0321%2 Jun →
anubis4–13-0.0620%1 Jun →
anubis13–110.0023%1 Jun →
anubis6–130.0626%29 May →
dust214–16-0.0225%23 May →
dust216–120.0218%23 May →
dust213–80.0426%21 May →
dust23–13-0.0914%20 May →
mirage3–13-0.0419%20 May →
inferno11–13-0.0224%20 May →
nuke11–13-0.0120%16 May →
ancient15–15-0.0148%14 May →
anubis13–7-0.0028%14 May →
anubis10–13-0.0229%13 May →
cache13–00.1434%12 May →
cache13–60.0620%12 May →
inferno4–13-0.0228%1 May →
cache13–10-0.0226%29 Apr →
cache3–13-0.0131%29 Apr →
ancient16–120.0323%28 Apr →
dust29–13-0.0636%27 Apr →
mirage11–130.0128%27 Apr →
inferno13–110.0625%25 Apr →
dust213–8-0.0218%25 Apr →
inferno12–160.0128%24 Apr →
anubis7–13-0.069%24 Apr →
ancient13–110.0521%21 Apr →
mirage5–13-0.0223%21 Apr →
inferno10–13-0.0222%20 Apr →
anubis13–60.0422%19 Apr →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K 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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