FiLtHy — CS2 Stats

76561198182315087[U:1:222049359]

1,994Tracked matches41%Win rate2020Tracked since
2,226Hours in CS
CSDB Rating5.3 DevelopingPassive Rifler
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

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CSDB.GGFiLtHyFACEITLevel 7STANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim75
Positioning43
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY41509Last 10041%Win rateLLWWLWWWLL

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

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

Aim7.5
Aggression3.0
Utility4.6
Positioning4.3
Opening Duels0.0
Clutch3.6

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.

Your pro match

NiKo

Plays most like NiKo 82% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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

Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.

Reaction time. 587ms 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

Aim7.5
Positioning4.3
Utility4.6
Mechanics8.3
Opening Duels0.5
Win Impact2.1

Composite 5.3/10 (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 rating-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time581ms−47ms
first ⅓ avg 628ms → last ⅓ avg 581ms
Headshot accuracy17.1%+0.7%
first ⅓ avg 16.4% → last ⅓ avg 17.1%

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

0.12Best rating — nuke 12–12
130Biggest win — train
5Longest win streak
L2Current streak
24In matches decided by ≤2 rounds
1Overtime games

Map breakdown

trainBest map · 67% over 6nukeWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
infernoD2051525%0.00
cacheB178947%0.01
mirageA138562%-0.00
anubisC114736%-0.02
ancientB115645%0.00
nukeD112918%0.02
dust2C73443%-0.01
trainS64267%0.02
vertigo21150%0.02
office21150%-0.04

Across the last 100 tracked matches.

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

Lifetime stats

90,987Lifetime kills
0.95K/D
5,142Matches
48.8%Match win rate · Top 50% of tracked players
36.3%Headshot %
15.0%Shot accuracy · Top 50% of tracked players
12,065MVPs
2,226Hours (in match)
8,516Bombs planted
1,485Bombs defused

Most-used weapons

AK-4730,616
AWP14,353
MAC-102,253
MP92,092
P2502,050

Lifetime map wins

10,823inferno
5,827train
4,735dust2
4,575nuke
1,834cbble
1,384vertigo
407office
144lake

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

Faceit stats

Combat

134Matches
54%Win rate
1.15Avg K/D
79.7ADR
36%Headshot %

Clutches & streaks

38%1v1 clutch win
26%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient1040%0.9014.3
Mirage1060%0.9813.1
Anubis1070%1.1615.7
Nuke967%1.6916.4
Dust2875%1.2116.5
Inferno580%1.1815.8
Vertigo50%1.0316.0

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.

16.1%Headshot accuracy
37.0%Accuracy (enemy spotted)
37.2%Spray accuracy
87.3%Counter-strafing
9.9°Preaim
587msReaction time
25.4%T opening success
34.1%CT opening success
0.43Enemies flashed / flash
1.7%Flash assists
12.16HE damage / grenade
4.02Flashes / 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 0.4337 — 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 25.4114% — below the 40% mark we flag

Spend your practice time on Nuke

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.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage8–13-0.0614%28 Aug
anubis6–13-0.0521%27 Aug
inferno13–7-0.0322%27 Aug
cache13–10.1117%27 Aug
mirage7–130.0522%27 Aug
mirage5–1-0.015%27 Aug
ancient13–3-0.0116%27 Aug
cache13–10-0.0116%27 Aug
cache9–13-0.0617%26 Aug
cache7–13-0.0321%26 Aug
ancient6–13-0.0815%25 Aug
cache13–50.014%24 Aug
nuke4–130.0442%24 Aug
mirage13–20.0512%24 Aug
inferno7–130.0218%24 Aug
inferno13–9-0.0413%21 Aug
mirage13–8-0.046%21 Aug
ancient13–90.1112%21 Aug
inferno8–13-0.0318%20 Aug
mirage2–13-0.044%19 Aug
nuke5–13-0.0615%19 Aug
inferno9–13-0.0220%19 Aug
train13–8-0.049%18 Aug
dust22–13-0.0420%18 Aug
inferno7–130.0119%18 Aug
mirage13–6-0.028%18 Aug
inferno4–130.0319%18 Aug
train10–130.0611%18 Aug
cache12–120.0217%18 Aug
inferno4–13-0.0225%18 Aug
ancient13–40.0626%17 Aug
inferno6–130.0431%17 Aug
dust213–40.0131%17 Aug
cache11–130.0314%17 Aug
mirage13–110.0216%17 Aug
inferno5–130.0123%16 Aug
anubis2–13-0.0511%16 Aug
ancient4–13-0.089%16 Aug
inferno8–130.0428%16 Aug
ancient13–110.0216%16 Aug
train13–4-0.0516%16 Aug
mirage7–130.0322%16 Aug
nuke10–130.0230%15 Aug
nuke12–120.1221%15 Aug
cache9–130.0117%15 Aug
inferno13–40.0112%15 Aug
anubis0–6-0.0517%15 Aug
ancient13–20.0712%15 Aug
inferno5–13-0.0315%14 Aug
cache13–100.0524%14 Aug
nuke12–120.0118%13 Aug
inferno7–13-0.0120%13 Aug
anubis13–40.018%13 Aug
train12–120.0516%13 Aug
train13–00.0115%12 Aug
inferno5–130.0112%12 Aug
cache9–13-0.0322%12 Aug
nuke11–13-0.0322%8 Aug
ancient7–130.0010%8 Aug
anubis12–120.0316%7 Aug
mirage13–4-0.0516%7 Aug
cache13–7-0.0125%7 Aug
mirage10–13-0.0121%7 Aug
cache13–50.0113%7 Aug
mirage13–70.0614%7 Aug
inferno6–10.0711%7 Aug
inferno13–30.1018%6 Aug
cache13–100.029%26 Jul
ancient10–13-0.0512%26 Jul
train13–60.0624%26 Jul
dust27–13-0.0412%26 Jul
anubis10–13-0.0613%26 Jul
anubis13–4-0.0416%24 Jul
ancient12–120.0418%11 Jul
cache13–30.0720%11 Jul
dust213–7-0.029%11 Jul
anubis13–7-0.0419%9 Jul
nuke13–70.0424%3 Jul
dust211–00.0417%3 Jul
dust210–13-0.0324%2 Jul
nuke13–80.0125%29 Jun
ancient15–15-0.0611%22 Jun
dust211–13-0.0112%22 Jun
mirage13–2-0.0318%15 Jun
vertigo13–90.037%15 Jun
cache11–13-0.0016%13 Jun
inferno8–13-0.0116%11 Jun
anubis13–30.038%6 Jun
vertigo10–130.0011%6 Jun
anubis12–120.0122%29 May
nuke10–130.0418%29 May
nuke10–13-0.0216%24 May
inferno6–13-0.0213%23 May
cache5–13-0.0717%23 May
inferno3–13-0.0619%22 May
anubis8–13-0.0019%22 May
nuke12–120.0314%22 May
office3–13-0.0619%17 May
office13–2-0.0217%17 May
cache9–13-0.0027%17 May

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 →