Maverick — CS2 Stats

76561198272289593[U:1:312023865]

914Tracked matches30%Win rate2020Tracked since
1,195Hours in CS
CSDB Rating3.8 Learning
FaceitLevel 4 · 1,140 ELOTop 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGMaverickFACEITLevel 4 · 1,140 ELOSTANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim51
Positioning44
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY43543Last 10043%Win rateLLWLLLWWLW

Last 10 vs previous 10: +20pp win rate · +0.04 avg rating

Player DNA

Aim5.1
Aggression4.7
Utility4.8
Positioning4.4
Opening Duels0.8
Clutch5.4

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 83% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower positioning profile; 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. 709ms 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

Aim5.1
Positioning4.4
Utility4.8
Mechanics6.8
Opening Duels0.9
Win Impact0.0

Composite 3.8/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time709ms−9ms
first ⅓ avg 719ms → last ⅓ avg 709ms
Headshot accuracy28.6%+0.3%
first ⅓ avg 28.3% → last ⅓ avg 28.6%

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

0.11Best rating — ancient 13–2
132Biggest win — ancient
4Longest win streak
L2Current streak
89In matches decided by ≤2 rounds
15Overtime games

Map breakdown

ancientBest map · 71% over 14infernoWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
nukeD2361726%-0.04
mirageA2213959%-0.02
ancientS1410471%-0.00
infernoD102820%-0.03
anubisB84450%0.01
dust2B84450%-0.02
overpassD62433%-0.03
cache4040%-0.06
train42250%-0.04
vertigo1010%-0.09

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

46,174Lifetime kills
0.89K/D
2,741Matches
39.9%Match win rate
48.1%Headshot % · Top 50% of tracked players
17.3%Shot accuracy · Top 25% of tracked players
4,203MVPs
1,195Hours (in match)
2,310Bombs planted
670Bombs defused

Most-used weapons

Lifetime map wins

3,174dust2
2,657nuke
2,515inferno
1,486train
948vertigo
148lake
135cbble
44safehouse

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

Faceit stats

Combat

252Matches
50%Win rate
0.73Avg K/D
59.8ADR
58%Headshot %

Clutches & streaks

47%1v1 clutch win
13%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage5956%0.7312.3
Nuke4558%0.8112.0
Anubis4255%0.7411.8
Ancient3944%0.7311.9
Dust22045%0.6510.2
Inferno1443%0.7111.6
Vertigo1338%0.6611.0
Overpass862%0.9015.0

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.

27.7%Headshot accuracy
27.3%Accuracy (enemy spotted)
27.1%Spray accuracy
80.7%Counter-strafing
10.3°Preaim
709msReaction time
36.9%T opening success
29.6%CT opening success
0.74Enemies flashed / flash
4.3%Flash assists
6.91HE damage / grenade
3.95Flashes / 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. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 709.4026ms — above the 700ms 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 3.9501 — below the 4 mark we flag

    Grenade Lineups
  3. 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 36.9424% — below the 40% mark we flag

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 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno10–130.0437%7 Aug
mirage7–13-0.0136%7 Aug
ancient13–20.1126%7 Aug
nuke11–13-0.0420%31 Jul
mirage2–13-0.0319%10 Jul
cache11–13-0.0526%10 Jul
nuke16–140.0126%10 Jul
anubis13–50.0016%10 Jul
overpass2–13-0.0623%7 Jul
mirage13–7-0.0410%7 Jul
cache0–5-0.0650%7 Jul
ancient13–7-0.0217%22 Jun
nuke2–13-0.0322%22 Jun
nuke8–13-0.1026%3 Jun
anubis13–90.0133%3 Jun
dust214–16-0.0615%31 May
mirage9–13-0.0918%31 May
anubis8–13-0.0425%31 May
inferno5–13-0.0628%20 May
cache3–13-0.0535%11 May
dust27–13-0.1126%11 May
cache7–13-0.0840%10 May
ancient13–100.0147%7 May
ancient13–11-0.0235%27 Apr
mirage13–70.0126%27 Apr
dust210–13-0.0222%27 Apr
vertigo10–13-0.0921%24 Apr
nuke14–16-0.0629%20 Apr
anubis9–13-0.0246%20 Apr
anubis9–13-0.0244%7 Apr
mirage13–70.0031%7 Apr
ancient13–6-0.0833%3 Apr
nuke13–8-0.0234%3 Apr
anubis10–130.0522%30 Mar
nuke16–13-0.0818%30 Mar
overpass13–100.0030%30 Mar
inferno12–16-0.0329%24 Mar
nuke10–13-0.0519%23 Mar
dust213–110.0436%23 Mar
mirage8–13-0.0126%23 Mar
nuke3–13-0.0938%16 Mar
ancient9–13-0.0522%12 Mar
inferno7–13-0.0622%8 Mar
mirage13–110.0331%8 Mar
mirage17–19-0.0921%4 Mar
nuke5–130.0528%2 Mar
nuke14–16-0.0518%28 Feb
ancient13–100.0735%28 Feb
overpass13–3-0.0250%2 Feb
mirage9–13-0.0121%2 Feb
dust213–80.0241%2 Feb
nuke10–13-0.0129%2 Feb
inferno13–9-0.0331%29 Jan
nuke15–15-0.0129%29 Jan
mirage8–13-0.0612%29 Jan
ancient13–40.0228%28 Jan
inferno15–150.0223%28 Jan
nuke9–13-0.0138%27 Jan
mirage13–6-0.0031%27 Jan
nuke9–13-0.0522%27 Jan
nuke4–13-0.0119%26 Jan
anubis13–30.0931%26 Jan
mirage13–11-0.0321%23 Jan
nuke4–13-0.0722%23 Jan
anubis13–11-0.0116%22 Jan
ancient15–15-0.0523%19 Jan
mirage13–50.0336%19 Jan
inferno16–130.0123%19 Jan
dust213–100.0226%5 Jan
train4–13-0.0525%5 Jan
mirage13–9-0.0533%5 Jan
nuke13–8-0.0421%5 Jan
ancient13–70.0642%4 Jan
nuke13–4-0.0124%4 Jan
nuke3–13-0.0741%2 Jan
dust25–130.0026%2 Jan
mirage13–50.0127%2 Jan
mirage16–140.0121%1 Jan
inferno10–13-0.0231%1 Jan
ancient11–130.0028%31 Dec
mirage13–2-0.0413%23 Dec
ancient16–120.0027%22 Dec
train4–13-0.0814%22 Dec
overpass7–13-0.0529%22 Dec
mirage9–13-0.0329%16 Dec
mirage11–13-0.0122%16 Dec
ancient15–19-0.0423%15 Dec
overpass11–13-0.0438%9 Dec
nuke4–13-0.096%9 Dec
nuke4–13-0.0836%9 Dec
dust213–9-0.0327%8 Dec
overpass3–13-0.0333%2 Dec
train13–7-0.0231%2 Dec
ancient16–13-0.0724%1 Dec
mirage13–7-0.0325%17 Nov
inferno8–13-0.0838%16 Nov
mirage13–110.0036%16 Nov
inferno9–13-0.0737%16 Nov
nuke13–10-0.0618%15 Nov
train13–90.0159%10 Nov

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 →