SWAG SO PERFECTLY

SWAG SO PERFECTLY — CS2 Stats

VA76561198853613483[U:1:893347755]Steam profile ↗

609Tracked matches38%Win rate2022Tracked since
CSDB Rating5.2 DevelopingHybrid Rifler
Premier CS Rating14,366Blue band · top ~31.8% of ranked players (population est.)
CSDB Leaderboard#13045 of 19758 tracked
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

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CSDB.GGSWAG SO PERFECTLYFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER14,366 · Blue bandcsdb.gg/stats

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Performance scores

Aim81
Positioning52
Utility34

0–100 skill scores via Leetify.

Recent form

COLD40573Last 10040%Win rateLLLLWWLLLL

Last 10 vs previous 10: -30pp win rate · -0.02 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim8.1
Aggression6.2
Utility3.4
Positioning5.2
Opening Duels1.7

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 87% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: 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. 586ms 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

Aim8.1
Positioning5.2
Utility3.4
Mechanics8.0
Opening Duels1.7
Win Impact1.0

Composite 5.2/10 (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-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time590ms+7ms
first ⅓ avg 583ms → last ⅓ avg 590ms
Headshot accuracy19.4%−0.3%
first ⅓ avg 19.6% → last ⅓ avg 19.4%

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.

Highlights

0.14Best rating — vertigo 13–1
131Biggest win — vertigo
6Longest win streak
L4Current streak
65In matches decided by ≤2 rounds

Map breakdown

cacheBest map · 62% over 13ancientWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
mirageC2281436%-0.02
dust2C1871139%-0.02
cacheA138562%0.00
ancientD113827%-0.01
infernoC94544%-0.01
nukeC83538%0.01
vertigoC73443%-0.00
anubisA53260%0.00
train3030%-0.01
poseidon1010%-0.09
debris1010%-0.08
alpine1010%-0.04
sanctum110100%0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1Matches
0%Win rate
1.00Avg K/D
ADR
0%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

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.

19.5%Headshot accuracy
35.4%Accuracy (enemy spotted)
39.5%Spray accuracy
86.1%Counter-strafing
8.8°Preaim
586msReaction time
31.4%T opening success
41.9%CT opening success
0.59Enemies flashed / flash
4.2%Flash assists
4.66HE damage / grenade
6.20Flashes / 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

    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 31.3943% — 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.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust28–13-0.0215%20 Aug
ancient6–13-0.0616%18 Aug
mirage7–13-0.0314%17 Aug
dust28–130.0322%16 Aug
dust213–10-0.0815%16 Aug
cache13–40.0314%16 Aug
mirage10–13-0.0717%16 Aug
mirage2–13-0.0112%16 Aug
inferno7–130.0521%16 Aug
dust25–13-0.0119%16 Aug
ancient4–13-0.0318%15 Aug
mirage13–40.0338%15 Aug
cache13–10-0.0212%9 Aug
inferno13–100.0618%9 Aug
dust26–13-0.0721%8 Aug
mirage13–11-0.0112%8 Aug
train9–13-0.0138%8 Aug
ancient8–130.0127%8 Aug
nuke9–13-0.0619%8 Aug
vertigo13–10.1444%8 Aug
inferno9–13-0.0514%8 Aug
mirage10–13-0.0214%7 Aug
cache13–50.0217%7 Aug
dust213–10-0.0632%3 Aug
anubis11–130.0221%3 Aug
anubis4–13-0.0120%31 Jul
mirage12–12-0.0220%30 Jul
cache13–30.0119%30 Jul
dust213–7-0.0215%27 Jul
mirage7–130.0311%26 Jul
mirage7–13-0.0816%24 Jul
mirage11–13-0.0313%24 Jul
nuke2–13-0.0416%24 Jul
dust213–70.0433%24 Jul
vertigo6–130.0213%24 Jul
mirage6–13-0.0215%24 Jul
ancient9–13-0.0212%23 Jul
poseidon5–9-0.0942%22 Jul
vertigo6–9-0.0216%22 Jul
inferno9–3-0.0450%22 Jul
ancient13–110.0111%21 Jul
cache2–13-0.077%20 Jul
nuke13–80.0213%20 Jul
mirage13–8-0.0311%20 Jul
inferno13–60.0515%20 Jul
dust213–3-0.0019%20 Jul
dust213–5-0.0226%20 Jul
mirage13–2-0.0417%20 Jul
dust211–13-0.0430%20 Jul
nuke13–30.0211%20 Jul
debris6–9-0.0811%18 Jul
ancient8–13-0.085%18 Jul
cache9–13-0.0211%16 Jul
mirage8–13-0.0423%16 Jul
cache7–13-0.0317%16 Jul
cache12–120.1113%14 Jul
cache13–80.0123%13 Jul
dust28–13-0.0616%11 Jul
mirage13–90.0825%11 Jul
dust210–13-0.0818%11 Jul
mirage13–11-0.0518%8 Jul
mirage13–9-0.037%7 Jul
vertigo13–7-0.0410%7 Jul
nuke13–80.0121%6 Jul
mirage13–4-0.0133%6 Jul
nuke9–130.0534%6 Jul
mirage3–13-0.0417%2 Jul
ancient1–13-0.0817%2 Jul
dust213–100.0117%2 Jul
ancient13–90.0823%30 Jun
cache13–4-0.0311%30 Jun
ancient8–50.0523%30 Jun
train5–13-0.0717%30 Jun
mirage1–11-0.0620%28 Jun
dust27–130.0527%28 Jun
inferno13–50.0322%28 Jun
vertigo13–100.0123%28 Jun
cache13–60.0538%27 Jun
dust211–130.0213%27 Jun
ancient6–13-0.0021%27 Jun
vertigo9–130.0112%27 Jun
alpine2–13-0.0421%25 Jun
nuke6–90.1228%25 Jun
inferno2–9-0.0822%25 Jun
sanctum9–70.0618%25 Jun
anubis8–7-0.0521%25 Jun
vertigo5–9-0.1422%24 Jun
anubis13–110.0217%24 Jun
cache13–70.0313%24 Jun
ancient6–13-0.0220%24 Jun
mirage7–130.0316%23 Jun
cache12–12-0.0417%23 Jun
dust28–13-0.0610%23 Jun
inferno10–13-0.0215%23 Jun
anubis13–50.0223%23 Jun
dust211–130.0013%23 Jun
mirage8–130.0316%19 Jun
nuke9–13-0.0114%19 Jun
train9–130.0424%18 Jun
inferno6–13-0.1033%18 Jun

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 →