SWAGONLINE — CS2 Stats

76561199057326068[U:1:1097060340]

2,237Tracked matches50%Win rate2021Tracked since
CSDB Rating5.1 Developing
Premier CS Rating18,587Purple band · top ~14.1% of ranked players (population est.)
CSDB Leaderboard#11710 of 23349 tracked
WingmanGold Nova I
Ladder ranks via Leetify

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CSDB.GGSWAGONLINEPREMIER18,587 · Purple bandcsdb.gg/stats

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Performance scores

Aim55
Positioning53
Utility30

0–100 skill scores via Leetify.

Recent form

STEADY42535Last 10042%Win rateLWLWWLLLWL

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating

Player DNA

Aim5.5
Aggression8.4
Utility3.0
Positioning5.3
Opening Duels4.2
Clutch3.6

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

ropz

Plays most like ropz 82% playstyle similarity

Most alike: opening-duel success, positioning profile.

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 →

Strengths & areas to improve

Areas to improve

Reaction time. 647ms 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

Aim5.5
Positioning5.3
Utility3.0
Mechanics6.9
Opening Duels4.2
Win Impact5.0

Composite 5.1/10 (Developing), 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 rating0.01−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time653ms+19ms
first ⅓ avg 634ms → last ⅓ avg 653ms
Headshot accuracy22.0%+0.7%
first ⅓ avg 21.3% → last ⅓ avg 22.0%

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

0.26Best rating — mirage 13–8
131Biggest win — nuke
4Longest win streak
46In matches decided by ≤2 rounds
2Overtime games

Map breakdown

nukeBest map · 46% over 54infernoWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
nukeB54252946%0.02
mirageC1771041%0.03
dust2D72529%0.02
officeC52340%0.05
infernoD51420%0.01
cache43175%0.03
anubis220100%0.06
vertigo2020%0.04
debris1010%-0.18
shelter1010%-0.06
ancient1010%-0.05
boulder1010%0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

134Matches
46%Win rate
0.89Avg K/D
73.5ADR
39%Headshot %

Clutches & streaks

38%1v1 clutch win
20%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Dust23444%0.9313.5
Mirage2857%0.8712.8
Ancient2352%0.8614.3
Anubis1346%0.9814.6
Inferno1020%0.7112.4
Nuke944%1.1715.2
Vertigo520%0.7415.6
Train450%0.7816.0

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.

20.8%Headshot accuracy
34.6%Accuracy (enemy spotted)
33.4%Spray accuracy
81.2%Counter-strafing
13.4°Preaim
647msReaction time
43.5%T opening success
50.5%CT opening success
0.63Enemies flashed / flash
5.2%Flash assists
4.33HE damage / grenade
3.20Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.4281° — above the 12° mark we flag

    Aim Training
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.1983 — below the 4 mark we flag

    Grenade Lineups
Spend your practice time on Inferno

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke6–130.1026%27 Aug
nuke13–80.0425%27 Aug
nuke7–130.0725%27 Aug
cache13–50.0719%27 Aug
cache13–40.0824%27 Aug
nuke5–130.0929%26 Aug
nuke4–13-0.130%25 Aug
nuke8–13-0.0911%25 Aug
nuke13–90.048%25 Aug
mirage10–13-0.0212%23 Aug
anubis13–30.0214%23 Aug
nuke12–12-0.0417%23 Aug
nuke8–130.0219%23 Aug
nuke8–13-0.0112%23 Aug
nuke8–13-0.0331%23 Aug
nuke8–130.0119%23 Aug
nuke3–13-0.0627%21 Aug
nuke13–80.0324%21 Aug
nuke12–120.0123%21 Aug
nuke13–70.0217%21 Aug
nuke13–80.0229%21 Aug
nuke13–10.1021%21 Aug
nuke13–70.1033%21 Aug
nuke8–13-0.0411%19 Aug
nuke13–9-0.0329%19 Aug
nuke13–40.0229%19 Aug
nuke8–13-0.0516%19 Aug
nuke12–120.0226%19 Aug
nuke12–120.0120%19 Aug
nuke13–7-0.0232%18 Aug
debris1–9-0.1825%18 Aug
nuke9–50.1431%18 Aug
office13–90.0746%16 Aug
nuke9–130.0242%16 Aug
nuke12–12-0.0129%16 Aug
nuke13–80.0929%16 Aug
dust25–3-0.0211%16 Aug
mirage7–60.0226%16 Aug
nuke7–13-0.0536%14 Aug
nuke4–3-0.1018%14 Aug
mirage8–13-0.0118%14 Aug
office3–6-0.0014%13 Aug
office10–130.0442%13 Aug
dust26–130.1343%13 Aug
nuke13–4-0.0328%12 Aug
inferno8–130.0511%11 Aug
dust213–3-0.0043%11 Aug
nuke13–9-0.0314%11 Aug
nuke13–10.1550%11 Aug
dust25–13-0.0020%11 Aug
office11–130.1016%10 Aug
office13–100.0531%10 Aug
nuke13–11-0.0116%10 Aug
nuke13–20.0715%2 Aug
vertigo8–130.1226%2 Aug
nuke3–13-0.0015%2 Aug
anubis13–60.1018%2 Aug
inferno6–13-0.0121%1 Aug
nuke6–130.0219%1 Aug
nuke13–60.0310%1 Aug
inferno12–16-0.0310%30 Jul
nuke0–9-0.0111%30 Jul
nuke1–130.0521%30 Jul
shelter2–13-0.0616%30 Jul
nuke11–130.1014%28 Jul
nuke11–70.0714%28 Jul
cache13–110.059%28 Jul
nuke2–130.0430%27 Jul
inferno1–13-0.053%27 Jul
nuke5–130.0727%25 Jul
mirage3–13-0.0914%23 Jul
vertigo5–9-0.0521%21 Jul
mirage13–80.0621%21 Jul
nuke13–80.0230%21 Jul
ancient11–13-0.0510%19 Jul
nuke13–40.0123%15 Jul
nuke8–13-0.0123%15 Jul
mirage4–13-0.0328%15 Jul
nuke10–8-0.0531%14 Jul
mirage7–13-0.0311%14 Jul
inferno13–70.1128%14 Jul
mirage16–130.0414%13 Jul
dust213–50.0430%13 Jul
mirage1–13-0.0515%13 Jul
dust28–13-0.0219%13 Jul
mirage6–130.1420%13 Jul
mirage13–70.1516%13 Jul
mirage13–40.1430%13 Jul
mirage0–5-0.0933%13 Jul
mirage7–13-0.0124%13 Jul
nuke13–70.1223%13 Jul
mirage13–80.2635%13 Jul
mirage9–13-0.0413%13 Jul
nuke13–80.0612%13 Jul
nuke13–100.0415%13 Jul
cache4–13-0.0638%12 Jul
dust26–130.0521%12 Jul
mirage13–70.0515%12 Jul
nuke6–130.0417%11 Jul
boulder5–60.0816%11 Jul

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 →