2026 ford maverick

2026 ford maverick — CS2 Stats

US76561198331401868[U:1:371136140]Steam profile ↗✓ No bans

743Tracked matches30%Win rate2024Tracked since
640Hours in CS1Hrs last 2 wks
CSDB Rating3.5 LearningPositional Player
WingmanMaster Guardian II
Ladder ranks via Leetify

Performance scores

Aim53
Positioning48
Utility4

0–100 skill scores via Leetify.

Recent form

STEADY43–48–9Last 10043%Win rateLWWLLWTTLW

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · −1.6pp headshot accuracy · +154ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 18%
  • Avg reaction 623ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 588ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 511ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+2.4 against its own average).

Aim5.3
Utility0.4
Positioning4.8
Opening Duels1.6
Clutch2.6

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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

donk

Plays most like donk 83% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; 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.

CT openings. Opening success drops from 51% on T to 32% on CT — first contacts on the defending side are being lost.

Reaction time. 621ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim5.3
Positioning4.8
Utility0.4
Mechanics3.9
Opening Duels3.0
Win Impact0.0

Composite 3.5/10 (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 rating0.02+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time494ms−110ms
first ⅓ avg 604ms → last ⅓ avg 494ms
Headshot accuracy21.2%+1.9%
first ⅓ avg 19.4% → last ⅓ avg 21.2%

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.

Personal bests

0.38Best match rating · 9–4 · inferno, 8 Nov →
67%Best headshot accuracy · 5–8 · mirage, 11 Oct →
344msFastest reaction time · 9–7 · inferno, 25 Oct →
13–0Biggest win · nuke, 9 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
10–8In matches decided by ≤2 rounds

Map breakdown

vertigoBest map · 50% over 6mirageWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
infernoB6229–3347%0.00
nukeB157–847%-0.01
overpassC73–443%-0.01
mirageD71–614%-0.03
vertigoB63–350%0.01
italy—10–10%-0.07
dust2—10–10%-0.05
train—10–10%-0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (14% over 7). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

13,915Lifetime kills
1.01K/D · Top 50% of tracked players
1,223Matches
43.1%Match win rate
39.8%Headshot %
0.0%Shot accuracy
3,645MVPs
297Hours (in match)
450Bombs planted
161Bombs defused

Most-used weapons

Lifetime map wins

3,768inferno
1,135nuke
888vertigo
704dust2
149office
70train
19italy

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

Faceit stats

Combat

7Matches
43%Win rate
0.84Avg K/D
58.8ADR
34%Headshot %

Clutches & streaks

33%1v1 clutch win
100%1v2 clutch win
2Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Dust2425%0.8611.0
Nuke1100%1.6213.0
Mirage1100%0.255.0
Cache10%0.569.0

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.

19.6%Headshot accuracy
32.3%Accuracy (enemy spotted)
33.9%Spray accuracy
67.5%Counter-strafing
9.9°Preaim
621msReaction time
51.3%T opening success
32.4%CT opening success
0.18Enemies flashed / flash
1.5%Flash assists
0.03HE damage / grenade
0.45Flashes / 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 0.1783 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 32.413% — below the 40% mark we flag

Spend your practice time on Mirage

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno3–9-0.1617%8 Nov →
inferno9–40.3813%8 Nov →
overpass9–10.1615%8 Nov →
inferno7–9-0.0344%31 Oct →
inferno1–9-0.160%31 Oct →
inferno9–7-0.027%31 Oct →
inferno8–80.0611%31 Oct →
inferno8–8-0.160%31 Oct →
inferno4–9-0.0450%27 Oct →
inferno9–20.0918%27 Oct →
inferno7–9-0.0726%26 Oct →
inferno6–9-0.188%25 Oct →
inferno7–9-0.0433%25 Oct →
inferno9–7-0.0715%25 Oct →
inferno9–70.0128%25 Oct →
inferno9–30.1612%25 Oct →
inferno6–90.0116%25 Oct →
inferno9–10.2025%25 Oct →
inferno9–10.0919%25 Oct →
inferno9–70.099%25 Oct →
inferno8–80.0218%25 Oct →
overpass4–9-0.1626%25 Oct →
overpass8–80.0412%25 Oct →
inferno2–9-0.0920%25 Oct →
inferno9–70.1517%24 Oct →
inferno7–9-0.0536%24 Oct →
inferno9–20.2217%24 Oct →
inferno5–9-0.1336%24 Oct →
inferno9–50.0042%24 Oct →
inferno9–30.2533%24 Oct →
inferno8–80.0728%24 Oct →
inferno6–9-0.0433%23 Oct →
inferno8–8-0.0415%23 Oct →
nuke2–13-0.0336%13 Oct →
nuke6–130.0319%13 Oct →
inferno2–10-0.070%11 Oct →
mirage5–8-0.0567%11 Oct →
mirage13–2-0.0610%11 Oct →
inferno4–9-0.1410%11 Oct →
inferno10–13-0.0016%11 Oct →
nuke13–9-0.0216%11 Oct →
vertigo13–30.0621%10 Oct →
nuke8–13-0.0725%10 Oct →
mirage9–130.0018%9 Oct →
nuke13–00.1422%9 Oct →
overpass2–9-0.1950%4 Oct →
inferno9–3-0.0415%4 Oct →
inferno3–9-0.220%3 Oct →
nuke9–13-0.0728%2 Oct →
nuke13–60.0410%1 Oct →
mirage5–13-0.0817%1 Oct →
inferno1–9-0.1125%1 Oct →
overpass9–70.0732%1 Oct →
inferno8–80.0133%1 Oct →
inferno1–9-0.210%29 Sept →
inferno3–9-0.117%28 Sept →
inferno7–9-0.130%28 Sept →
inferno9–30.1931%27 Sept →
inferno9–10.2550%27 Sept →
overpass9–60.0214%27 Sept →
inferno9–20.027%27 Sept →
mirage10–130.0114%27 Sept →
italy2–7-0.0725%27 Sept →
vertigo4–9-0.0325%27 Sept →
inferno2–7-0.080%27 Sept →
mirage6–13-0.0427%27 Sept →
inferno9–7-0.099%27 Sept →
inferno9–6-0.0233%27 Sept →
vertigo8–8-0.077%27 Sept →
inferno9–20.1233%27 Sept →
inferno9–20.2415%27 Sept →
inferno1–9-0.1410%26 Sept →
inferno9–10.1325%26 Sept →
mirage5–7-0.0120%26 Sept →
nuke2–50.008%26 Sept →
vertigo5–9-0.1018%26 Sept →
inferno11–130.0433%26 Sept →
dust21–13-0.057%25 Sept →
inferno2–9-0.1516%25 Sept →
inferno9–3-0.1033%25 Sept →
inferno9–7-0.0421%25 Sept →
vertigo9–70.0312%25 Sept →
nuke8–13-0.0613%25 Sept →
nuke13–8-0.0425%25 Sept →
nuke3–13-0.0411%24 Sept →
nuke9–13-0.0422%23 Sept →
vertigo9–20.1731%23 Sept →
nuke13–6-0.0913%23 Sept →
nuke13–11-0.0013%23 Sept →
train10–13-0.0325%22 Sept →
inferno9–50.0522%22 Sept →
inferno9–50.0721%22 Sept →
inferno9–40.1319%22 Sept →
inferno2–9-0.0411%20 Sept →
overpass7–8-0.0217%20 Sept →
nuke9–50.1018%20 Sept →
inferno6–9-0.1120%20 Sept →
inferno9–4-0.0336%20 Sept →
inferno9–40.0817%20 Sept →
inferno8–80.0713%20 Sept →

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 →

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