Swift

Swift — CS2 Stats

US76561198062109739[U:1:101844011]Steam profile ↗✓ No bans

981Tracked matches52%Win rate2026Tracked since
328Hours in CS
CSDB Rating6.6 SolidPositional Player
Premier CS Rating22,154Top 50% of 205,052 CSDB-tracked playersPink band · top ~6.1% of ranked players (population est.)
CSDB Leaderboard#52458 of 252229 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+367Premier CS Rating · 21,787 → 22,154

Rating over time

Premier CS Rating: 22,154 +7,096 5 Sept – 16 Oct · 14 days played
15,05822,931peak 22,9315 Sept16 Oct
23,177Peak Premier in tracked matches
13Days played since 2026-09-05

Premier CS Rating

  • 777 below peak (22,931)
  • Next: Red band at 25,000 — 2,846 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-05
  • Blue band first seen 2026-09-05

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
Matches257——
Win rate53%——
K/D0.97——
Headshot %55%——

Measured 14 Sep 2026 → 16 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=15,088), 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 rate57.7%46.8%48.2%above
Shot accuracy0.0%13.0%13.2%13.2% short
Kill/death ratio1.021.061.070.05 short
Match win rate52.3%46.3%46.9%above

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

Widest gap: Shot accuracy. 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.GGSwiftFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER22,154 · Pink 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

Aim73
Positioning69
Utility48

0–100 skill scores via Leetify.

Recent form

COLD50–45–5Last 10050%Win rateWLWLLLLTLW

Last 10 vs previous 10: −20pp win rate · +0.00 avg rating · −0.3pp headshot accuracy · −16ms reaction

Win rate down 20pp 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 (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 21%
  • Avg reaction 500ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 540ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 21%
  • Avg reaction 548ms

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 (+1.7 against its own average).

Aim7.3
Utility4.8
Positioning6.9
Opening Duels5.3
Clutch4.0

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 89% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim7.3
Positioning6.9
Utility4.8
Mechanics6.4
Opening Duels6.3
Win Impact5.6

Composite 6.6/10 (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 rating-0.00−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.00
Reaction time552ms+18ms
first ⅓ avg 535ms → last ⅓ avg 552ms
Headshot accuracy19.8%−1.8%
first ⅓ avg 21.6% → last ⅓ avg 19.8%

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

0.19Best match rating · 9–4 · inferno, 28 Sept →
40%Best headshot accuracy · 13–1 · dust2, 7 Oct →
328msFastest reaction time · 4–9 · vertigo, 28 Sept →
13–1Biggest win · dust2, 7 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
5–8In matches decided by ≤2 rounds
15Overtime games

Map breakdown

ancientBest map · 80% over 10anubisWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
infernoS1812–667%0.02
nukeA1811–761%0.02
dust2D165–1131%0.00
mirageC145–936%-0.00
anubisD112–918%-0.01
ancientS108–280%0.02
cacheB84–450%0.02
vertigo—21–150%0.01
shelter—11–0100%0.18
office—10–10%-0.03
overpass—11–0100%0.14

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

14,865Lifetime kills
1.02K/D
874Matches
52.3%Match win rate · Top 10% of Level 8 players
57.7%Headshot % · Top 25% of Level 8 players
0.0%Shot accuracy
2,235MVPs
328Hours (in match)
552Bombs planted
206Bombs defused

Most-used weapons

Lifetime map wins

2,250dust2
1,474nuke
1,086inferno
132train
83vertigo
42office

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

Faceit stats

Combat

356Matches
52%Win rate
0.99Avg K/D
78.7ADR
55%Headshot %

Clutches & streaks

40%1v1 clutch win
14%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Dust28754%0.9715.7
Mirage6557%0.9816.3
Anubis5756%1.0315.4
Nuke4351%1.0515.7
Ancient3751%0.9816.5
Inferno3441%0.9615.1
Cache2241%0.9017.1
Vertigo850%1.0417.1

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.

19.8%Headshot accuracy
34.9%Accuracy (enemy spotted)
36.9%Spray accuracy
78.7%Counter-strafing
10.7°Preaim
543msReaction time
58.4%T opening success
52.2%CT opening success
0.54Enemies flashed / flash
8.0%Flash assists
7.53HE damage / grenade
7.21Flashes / match

Recommended for you

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.

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–70.0117%16 Oct →
mirage7–13-0.0721%16 Oct →
ancient13–40.0337%16 Oct →
ancient11–130.0118%16 Oct →
anubis10–13-0.0013%16 Oct →
mirage7–13-0.0329%16 Oct →
dust28–13-0.0215%15 Oct →
cache15–150.0519%15 Oct →
nuke2–13-0.0616%15 Oct →
dust213–100.0623%15 Oct →
inferno14–16-0.0121%15 Oct →
nuke13–8-0.0217%15 Oct →
anubis10–13-0.0615%15 Oct →
anubis4–13-0.0829%15 Oct →
nuke9–13-0.0116%15 Oct →
shelter13–60.1830%15 Oct →
ancient13–30.0519%15 Oct →
dust28–13-0.0222%14 Oct →
nuke13–5-0.0522%14 Oct →
cache13–10-0.0320%14 Oct →
inferno13–8-0.0426%14 Oct →
inferno16–14-0.0118%14 Oct →
mirage13–9-0.0316%14 Oct →
nuke13–160.0215%14 Oct →
ancient13–10-0.0123%14 Oct →
mirage13–5-0.0015%14 Oct →
dust210–13-0.0020%14 Oct →
cache13–100.0822%14 Oct →
nuke16–140.0413%14 Oct →
inferno7–13-0.0119%14 Oct →
dust210–13-0.0813%13 Oct →
mirage10–13-0.0115%13 Oct →
nuke13–8-0.0319%13 Oct →
office10–13-0.0316%13 Oct →
cache13–90.0719%12 Oct →
mirage6–130.0317%12 Oct →
cache9–13-0.0238%12 Oct →
ancient13–70.0525%12 Oct →
inferno13–70.0419%12 Oct →
inferno16–120.0118%12 Oct →
dust213–70.0014%12 Oct →
nuke14–16-0.0218%12 Oct →
mirage15–15-0.0128%12 Oct →
mirage16–12-0.0321%12 Oct →
ancient13–40.0325%12 Oct →
inferno6–10.1528%12 Oct →
dust211–130.0233%12 Oct →
ancient13–7-0.0225%12 Oct →
mirage13–80.0212%9 Oct →
mirage6–13-0.0024%9 Oct →
inferno5–12-0.0216%9 Oct →
dust211–13-0.0217%9 Oct →
ancient8–130.0021%9 Oct →
ancient13–20.0317%9 Oct →
nuke13–110.0416%9 Oct →
inferno13–8-0.0327%9 Oct →
nuke13–80.0123%8 Oct →
nuke13–50.0816%8 Oct →
mirage9–130.0527%8 Oct →
dust28–13-0.0316%8 Oct →
inferno15–150.0223%8 Oct →
anubis13–40.1220%8 Oct →
dust216–14-0.0324%8 Oct →
dust211–130.0523%7 Oct →
inferno16–120.0117%7 Oct →
anubis7–13-0.0417%7 Oct →
nuke13–40.0724%7 Oct →
dust213–10.0540%7 Oct →
inferno5–130.0818%7 Oct →
dust211–13-0.0032%7 Oct →
anubis6–13-0.0231%7 Oct →
ancient13–90.0218%7 Oct →
inferno13–10-0.019%7 Oct →
nuke13–160.0420%7 Oct →
dust215–150.0423%7 Oct →
cache13–100.0026%7 Oct →
inferno13–60.0221%7 Oct →
mirage13–40.0923%6 Oct →
mirage6–130.0028%6 Oct →
cache9–130.0118%6 Oct →
nuke9–130.0815%6 Oct →
anubis13–100.0321%6 Oct →
anubis6–130.0325%6 Oct →
nuke13–90.0326%6 Oct →
nuke7–130.0313%6 Oct →
nuke13–70.0330%6 Oct →
dust213–110.0013%5 Oct →
inferno0–2-0.0233%5 Oct →
mirage6–13-0.0233%1 Oct →
inferno13–6-0.0324%1 Oct →
cache9–13-0.0312%1 Oct →
dust25–130.039%30 Sept →
vertigo4–9-0.0528%28 Sept →
overpass9–60.1413%28 Sept →
inferno9–40.1928%28 Sept →
vertigo13–70.0713%28 Sept →
anubis15–150.0216%28 Sept →
anubis9–13-0.0415%28 Sept →
nuke13–90.0322%28 Sept →
anubis3–13-0.0515%28 Sept →

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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