Swagologist — CS2 Stats

76561198128589012[U:1:168323284]✓ No bans

1,010Tracked matches47%Win rate2025Tracked since
CSDB Rating3.8 Learning
Premier CS Rating17,772Purple band · top ~17.4% of ranked players (population est.)
CSDB Leaderboard#21255 of 42099 tracked
FaceitLevel 5 · 1,000 ELOTop 67.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGSwagologistFACEITLevel 5 · 1,000 ELOSTANDINGTop 67.6% of rankedPREMIER17,772 · Purple bandcsdb.gg/stats

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Performance scores

Aim50
Positioning42
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY39556Last 10039%Win rateLLLWWWWLLL

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

Player DNA

Aim5.0
Aggression4.7
Utility4.5
Positioning4.2
Opening Duels0.7
Clutch4.2

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 78% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower opening-duel success; 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

Counter-strafing. Only 57% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.0
Positioning4.2
Utility4.5
Mechanics1.5
Opening Duels1.2
Win Impact3.9

Composite 3.8/10 (Learning), 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 rating-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time549ms−70ms
first ⅓ avg 618ms → last ⅓ avg 549ms
Headshot accuracy17.2%+3.0%
first ⅓ avg 14.2% → last ⅓ avg 17.2%

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

0.13Best rating — office 13–7
130Biggest win — cache
4Longest win streak
L3Current streak
911In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 63% over 8vertigoWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
cacheD1851328%0.00
dust2B157847%-0.00
nukeA127558%-0.00
anubisC114736%0.02
infernoA85363%0.02
mirageD82625%-0.03
ancientD72529%0.01
officeA74357%0.00
vertigoD61517%0.00
train31233%0.03
boulder2020%0.03
fachwerk1010%0.01
italy110100%0.01
overpass1010%-0.01

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

98Matches
50%Win rate
1.12Avg K/D
79.0ADR
41%Headshot %

Clutches & streaks

41%1v1 clutch win
24%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Anubis2454%1.3018.0
Dust21553%0.9215.9
Nuke1457%1.0414.4
Inferno1338%1.0715.9
Ancient944%0.9113.6
Mirage838%1.4513.9
Cache862%1.0416.5
Overpass450%1.1914.0

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.

17.1%Headshot accuracy
31.3%Accuracy (enemy spotted)
45.6%Spray accuracy
56.8%Counter-strafing
11.9°Preaim
546msReaction time
40.0%T opening success
25.3%CT opening success
0.55Enemies flashed / flash
6.7%Flash assists
8.33HE damage / grenade
1.10Flashes / 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

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

    Flashes per match 1.1024 — below the 4 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 39.9537% — below the 40% mark we flag

Spend your practice time on Vertigo

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategyVertigo grenade lineups

Recent matches

MapScoreRatingHS%Date
cache5–13-0.0323%28 Aug
inferno11–13-0.0122%28 Aug
cache5–13-0.0617%28 Aug
nuke13–7-0.0314%27 Aug
inferno16–120.0320%27 Aug
dust213–8-0.0311%27 Aug
cache13–11-0.0312%27 Aug
dust28–13-0.0023%27 Aug
ancient9–130.0514%25 Aug
cache8–13-0.0118%25 Aug
mirage13–9-0.0418%25 Aug
inferno13–30.0422%25 Aug
nuke16–12-0.0113%25 Aug
dust24–13-0.0125%25 Aug
anubis10–130.0112%24 Aug
cache11–130.0925%24 Aug
ancient3–50.0220%24 Aug
anubis13–90.0414%24 Aug
dust213–90.0615%24 Aug
nuke8–13-0.0322%24 Aug
nuke13–6-0.0713%24 Aug
dust213–110.0819%22 Aug
dust213–40.0123%22 Aug
cache13–110.089%22 Aug
anubis13–160.0219%21 Aug
dust213–11-0.0317%21 Aug
nuke9–13-0.0524%21 Aug
cache13–16-0.0416%20 Aug
inferno9–130.037%20 Aug
mirage11–130.0213%20 Aug
nuke6–13-0.0510%19 Aug
office5–13-0.0618%19 Aug
cache7–13-0.0018%19 Aug
inferno13–70.007%18 Aug
anubis13–30.0713%18 Aug
cache13–00.0428%18 Aug
nuke13–11-0.038%18 Aug
mirage8–13-0.0122%18 Aug
dust28–13-0.0417%17 Aug
mirage16–14-0.0011%16 Aug
nuke13–60.0518%16 Aug
inferno13–90.0218%16 Aug
cache4–13-0.0215%15 Aug
cache13–160.0113%14 Aug
ancient13–7-0.0122%14 Aug
dust27–13-0.0511%14 Aug
mirage10–13-0.0914%13 Aug
dust213–100.0018%13 Aug
ancient15–150.0125%13 Aug
anubis7–13-0.0215%12 Aug
cache13–5-0.0111%12 Aug
mirage4–13-0.078%12 Aug
dust215–15-0.0318%11 Aug
ancient13–60.0010%11 Aug
ancient9–13-0.0428%10 Aug
dust27–13-0.085%10 Aug
nuke10–130.0219%8 Aug
cache13–10-0.0213%7 Aug
anubis11–130.0819%7 Aug
office13–70.1318%5 Aug
boulder4–130.0612%5 Aug
anubis7–130.0512%4 Aug
vertigo1–13-0.0313%4 Aug
fachwerk10–130.0119%4 Aug
office13–9-0.019%4 Aug
train13–110.0617%4 Aug
office11–130.0126%3 Aug
cache11–13-0.0210%3 Aug
inferno14–160.0118%3 Aug
dust210–13-0.0113%3 Aug
anubis13–2-0.106%3 Aug
inferno13–10.0219%2 Aug
train12–120.0417%1 Aug
vertigo10–130.0113%1 Aug
cache11–130.0721%31 Jul
nuke13–110.0220%31 Jul
dust216–14-0.0016%31 Jul
office13–90.047%31 Jul
cache4–13-0.0217%30 Jul
vertigo4–13-0.0222%30 Jul
italy11–00.018%30 Jul
overpass5–13-0.0113%30 Jul
ancient3–130.0214%30 Jul
office13–6-0.0111%29 Jul
anubis9–130.0413%29 Jul
vertigo12–120.0513%29 Jul
anubis9–130.0214%29 Jul
mirage8–130.0313%28 Jul
dust211–130.0914%28 Jul
boulder2–130.0012%28 Jul
cache4–80.0132%28 Jul
vertigo7–10.0517%28 Jul
anubis13–80.0212%28 Jul
office3–13-0.0926%28 Jul
nuke12–120.0615%28 Jul
train12–12-0.027%27 Jul
mirage11–13-0.077%27 Jul
nuke13–90.1017%27 Jul
cache3–130.018%27 Jul
vertigo3–13-0.055%27 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 →