Swifts

Swifts — CS2 Stats

US76561198079974270[U:1:119708542]Steam profile ↗✓ No bans

436Tracked matches45%Win rate2023Tracked since
CSDB Rating5.2 DevelopingPositional Player
Premier CS Rating24,570Top 25% of 180,525 CSDB-tracked playersPink band · top ~3.5% of ranked players (population est.)
CSDB Leaderboard#24392 of 226127 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 436 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 26 days played since 7 Apr 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 24,570 +781 8 Apr15 Sept · 9 days played
23,42824,570peak 24,5708 Apr15 Sept
24,570Peak Premier in tracked matches
26Days played since 2026-04-07

Premier CS Rating

  • At peak — 24,570
  • Next: Red band at 25,000 430 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-06
  • Purple band first seen 2026-09-06

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

Share this profile

CSDB.GGSwiftsFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER24,570 · 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

Aim67
Positioning43
Utility37

0–100 skill scores via Leetify.

Recent form

COLD51427Last 10051%Win rateLLLLLWLWWL

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · −2.0pp headshot accuracy · −4ms reaction

Win rate down 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

  • 05 · 0% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 685ms

Last 10

  • 37 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 654ms

Last 20

  • 812 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 656ms

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 PlayerPositioning stands above the rest of this profile (+1.9 against its own average).

Aim6.7
Utility3.7
Positioning4.3
Opening Duels1.4
Clutch0.0

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

NiKo

Plays most like NiKo 93% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; 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

T-side openings. Opening success drops from 41% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 669ms 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

Aim6.7
Positioning4.3
Utility3.7
Mechanics8.0
Opening Duels1.3
Win Impact3.3

Composite 5.2/10 (Developing), 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 rating0.00−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time671ms+16ms
first ⅓ avg 655ms → last ⅓ avg 671ms
Headshot accuracy21.3%−2.0%
first ⅓ avg 23.3% → last ⅓ avg 21.3%

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

0.22Best match rating · 9–5 · inferno, 24 Apr
50%Best headshot accuracy · 0–8 · mirage, 17 Apr
500msFastest reaction time · 13–4 · anubis, 11 Apr
13–0Biggest win · mirage, 8 Apr

Across the last 100 tracked matches.

Highlights

5Longest win streak
L5Current streak
84In matches decided by ≤2 rounds
4Overtime games

Map breakdown

anubisBest map · 100% over 6ancientWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
mirageC26101638%-0.00
cacheB2091145%0.01
dust2B1991047%0.02
infernoS107370%0.03
ancientD82625%-0.01
anubisS660100%0.03
nukeA53260%0.02
overpass32167%0.08
vertigo220100%0.02
office110100%0.00

Across the last 100 tracked matches.

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

Faceit stats

Combat

41Matches
46%Win rate
1.39Avg K/D
92.4ADR
40%Headshot %

Clutches & streaks

20%1v1 clutch win
24%1v2 clutch win
3Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Dust2450%1.1715.8
Mirage425%1.2621.0
Inferno2100%1.7615.5
Train1100%4.1725.0
Nuke10%1.1218.0
Ancient10%1.5326.0
Anubis10%1.1826.0

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.

21.5%Headshot accuracy
34.3%Accuracy (enemy spotted)
35.0%Spray accuracy
85.8%Counter-strafing
10.6°Preaim
669msReaction time
25.1%T opening success
40.7%CT opening success
0.44Enemies flashed / flash
1.7%Flash assists
8.36HE damage / grenade
3.77Flashes / 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 0.4374 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 25.0705% — below the 40% mark we flag

Spend your practice time on Ancient

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.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust210–130.1018%2 Sept
ancient10–13-0.0115%2 Sept
mirage6–13-0.0617%2 Sept
cache9–13-0.0417%29 Jul
dust22–13-0.0511%29 Jul
anubis13–60.0622%28 Jul
cache2–13-0.0336%28 Jul
ancient13–110.0226%28 Jul
anubis13–80.0929%28 Jul
mirage3–13-0.0518%28 Jul
dust29–13-0.0130%28 Jul
cache2–130.0624%28 Jul
cache13–90.1022%28 Jul
mirage9–13-0.0120%25 Jun
dust26–130.0827%25 Jun
mirage3–13-0.0422%25 Jun
mirage13–60.0120%18 Jun
cache13–9-0.0232%17 Jun
dust213–5-0.0314%17 Jun
anubis13–70.0318%28 May
cache8–13-0.0225%28 May
cache12–120.0227%28 May
cache7–60.0518%21 May
inferno13–80.0018%21 May
mirage9–13-0.0632%21 May
cache13–100.0313%20 May
cache10–130.0411%20 May
ancient1–13-0.0123%20 May
mirage13–9-0.0320%15 May
inferno13–2-0.0324%15 May
cache13–8-0.0624%15 May
cache13–2-0.0220%15 May
cache13–10-0.0613%12 May
mirage6–13-0.0221%1 May
dust25–130.0717%1 May
dust213–5-0.0216%1 May
anubis13–6-0.0315%1 May
cache12–12-0.0713%1 May
inferno4–130.0826%29 Apr
cache12–120.0325%29 Apr
cache12–120.0520%29 Apr
cache13–70.0214%29 Apr
cache9–130.0417%29 Apr
cache6–130.0916%29 Apr
cache13–10-0.0223%29 Apr
inferno9–50.2224%24 Apr
overpass9–60.1011%24 Apr
inferno13–20.0329%24 Apr
dust210–13-0.0113%24 Apr
overpass4–130.0528%23 Apr
vertigo13–5-0.0240%23 Apr
mirage13–50.0330%21 Apr
anubis13–110.0128%21 Apr
mirage13–50.0324%21 Apr
mirage0–8-0.0850%17 Apr
mirage7–13-0.0326%17 Apr
dust213–9-0.0032%15 Apr
office13–80.0033%14 Apr
mirage13–40.2018%14 Apr
mirage9–130.0925%13 Apr
mirage11–130.0325%13 Apr
overpass13–70.1025%13 Apr
inferno3–5-0.0628%13 Apr
dust25–130.0230%13 Apr
mirage12–12-0.0319%13 Apr
ancient8–13-0.0430%13 Apr
dust212–120.0715%13 Apr
mirage13–70.0519%12 Apr
dust213–11-0.0621%12 Apr
anubis13–4-0.0032%11 Apr
nuke13–16-0.0128%11 Apr
dust211–13-0.0319%10 Apr
mirage3–130.0410%10 Apr
nuke13–10.0723%10 Apr
dust213–100.0130%10 Apr
mirage6–13-0.0623%10 Apr
dust23–00.0733%10 Apr
dust213–60.0826%10 Apr
nuke13–80.0120%9 Apr
inferno13–20.0513%9 Apr
mirage13–4-0.0121%9 Apr
nuke3–9-0.0914%9 Apr
nuke9–40.1126%9 Apr
ancient15–150.0215%9 Apr
mirage6–13-0.0122%9 Apr
inferno13–110.0327%9 Apr
inferno8–13-0.0724%9 Apr
ancient16–14-0.0337%9 Apr
mirage6–13-0.0719%9 Apr
inferno13–90.0125%8 Apr
dust216–140.0123%8 Apr
mirage13–110.0021%8 Apr
mirage13–0-0.0122%8 Apr
ancient7–13-0.0426%8 Apr
vertigo7–00.0633%8 Apr
mirage13–70.0726%8 Apr
ancient7–130.0228%8 Apr
mirage7–13-0.0621%8 Apr
dust213–3-0.0021%7 Apr
dust211–130.0222%7 Apr

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →