mavchelor

mavchelor — CS2 Stats

76561197968464025[U:1:8198297]Steam profile ↗✓ No bans

318Tracked matches43%Win rate2020Tracked since
CSDB Rating5.2 DevelopingSupport
Premier CS Rating14,362Blue band · top ~31.8% of ranked players (population est.)
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Oct 2026 (9 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 14,362 +2,620 3 Sept – 22 Oct · 15 days played
11,74214,895peak 14,8953 Sept22 Oct
14,999Peak Premier in tracked matches
24Days played since 2026-09-03

Premier CS Rating

  • 533 below peak (14,895)
  • +357 over 30 days · steady
  • Next: Purple band at 15,000 — 638 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-03
  • Light Blue band first seen 2026-09-03

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGmavchelorFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER14,362 · Blue bandcsdb.gg/stats

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Performance scores

Aim53
Positioning68
Utility68

0–100 skill scores via Leetify.

Recent form

COLD55–44–1Last 10055%Win rateWLLLLLWWLL

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · +0.5pp headshot accuracy · +9ms reaction

Win rate down 30pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 550ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 533ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 528ms

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: Support — Utility contribution stands above the rest of this profile (+1.5 against its own average).

Aim5.3
Utility6.8
Positioning6.8
Opening Duels4.4
Clutch3.0

Effective flashes

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

Twistzz

Plays most like Twistzz 69% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Strengths

Flashes. 0.79 enemies blinded per flash — utility that consistently lands.

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
Positioning6.8
Utility6.8
Mechanics4.5
Opening Duels5.2
Win Impact2.8

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.01
Reaction time528ms−24ms
first ⅓ avg 552ms → last ⅓ avg 528ms
Headshot accuracy15.2%+0.6%
first ⅓ avg 14.6% → last ⅓ avg 15.2%

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

0.13Best match rating · 13–1 · mirage, 25 Sept →
38%Best headshot accuracy · 13–7 · dust2, 29 Sept →
359msFastest reaction time · 8–13 · nuke, 25 Oct →
13–1Biggest win · dust2, 8 Oct →

Across the last 100 tracked matches.

Highlights

13Longest win streak
8–8In matches decided by ≤2 rounds
13Overtime games

Map breakdown

dust2Best map · 70% over 23ancientWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2S2316–770%-0.00
infernoC2310–1343%-0.01
cacheS1510–567%0.01
nukeB158–753%-0.02
mirageA117–464%0.04
ancientD72–529%0.01
anubisD62–433%0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

285Matches
56%Win rate
1.11Avg K/D
70.3ADR
37%Headshot %

Clutches & streaks

35%1v1 clutch win
19%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Dust24865%1.0214.4
Inferno3661%1.0613.8
Nuke2857%0.9615.0
Cache2374%1.0514.1
Mirage922%0.8714.1
Anubis367%1.0418.0
Ancient30%0.7715.0

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.

15.3%Headshot accuracy
30.8%Accuracy (enemy spotted)
31.3%Spray accuracy
70.1%Counter-strafing
9.9°Preaim
531msReaction time
50.3%T opening success
51.2%CT opening success
0.79Enemies flashed / flash
13.2%Flash assists
13.46HE damage / grenade
7.07Flashes / match

Recommended for you

Spend your practice time on Ancient

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust219–160.0419%29 Oct →
cache11–13-0.087%29 Oct →
inferno5–13-0.0913%29 Oct →
dust27–13-0.0625%29 Oct →
ancient16–19-0.0212%29 Oct →
inferno4–13-0.0710%27 Oct →
dust213–100.0417%27 Oct →
dust213–80.0115%27 Oct →
nuke7–13-0.0231%27 Oct →
nuke10–13-0.0111%27 Oct →
inferno13–7-0.0122%25 Oct →
dust210–130.0415%25 Oct →
cache13–110.0118%25 Oct →
nuke13–10-0.0120%25 Oct →
cache8–13-0.0513%25 Oct →
nuke8–13-0.0612%25 Oct →
cache13–10-0.0413%23 Oct →
nuke22–18-0.0512%22 Oct →
dust213–16-0.0617%22 Oct →
dust213–50.0415%22 Oct →
inferno16–12-0.0111%22 Oct →
dust26–13-0.029%22 Oct →
nuke10–13-0.0616%22 Oct →
cache13–110.0123%22 Oct →
inferno6–130.0118%20 Oct →
inferno6–13-0.0419%20 Oct →
cache8–130.0417%20 Oct →
dust213–8-0.068%15 Oct →
anubis19–160.0012%13 Oct →
inferno11–130.0815%12 Oct →
nuke13–80.0111%12 Oct →
cache13–100.039%12 Oct →
dust216–140.0117%12 Oct →
cache13–80.0427%11 Oct →
dust213–8-0.0123%11 Oct →
nuke13–40.0113%8 Oct →
inferno13–40.0218%8 Oct →
dust213–10.008%8 Oct →
nuke13–60.0722%8 Oct →
inferno13–50.0322%8 Oct →
dust213–80.0021%8 Oct →
cache13–8-0.0117%8 Oct →
ancient16–140.0514%7 Oct →
ancient11–13-0.0619%6 Oct →
nuke14–16-0.0414%6 Oct →
dust213–30.0010%6 Oct →
mirage11–3-0.014%6 Oct →
inferno13–20.084%5 Oct →
dust20–13-0.0725%5 Oct →
anubis3–13-0.023%2 Oct →
cache13–80.0613%2 Oct →
cache13–60.0312%2 Oct →
mirage13–30.0811%2 Oct →
anubis15–150.0510%2 Oct →
ancient13–60.0312%1 Oct →
inferno8–13-0.0714%1 Oct →
mirage7–13-0.0315%1 Oct →
dust24–12-0.079%1 Oct →
mirage5–13-0.0326%30 Sept →
ancient9–13-0.037%30 Sept →
cache16–14-0.0615%30 Sept →
nuke13–80.0314%29 Sept →
dust213–70.0438%29 Sept →
inferno3–13-0.0716%29 Sept →
inferno6–130.018%28 Sept →
cache13–50.0326%28 Sept →
mirage13–40.0118%28 Sept →
mirage8–130.0320%28 Sept →
mirage13–110.1320%28 Sept →
mirage13–70.0713%28 Sept →
mirage13–50.0733%28 Sept →
inferno8–13-0.040%27 Sept →
nuke10–13-0.028%27 Sept →
inferno13–80.0428%27 Sept →
dust213–80.0219%27 Sept →
nuke12–16-0.0114%27 Sept →
dust213–110.0418%27 Sept →
inferno10–130.0318%26 Sept →
mirage6–130.0110%26 Sept →
dust216–120.0014%25 Sept →
mirage13–10.139%25 Sept →
cache4–130.0418%25 Sept →
inferno11–130.0423%25 Sept →
inferno13–11-0.0114%25 Sept →
ancient11–130.0213%25 Sept →
dust29–13-0.0616%24 Sept →
inferno13–8-0.0210%24 Sept →
inferno11–13-0.0422%24 Sept →
inferno9–13-0.0011%24 Sept →
dust213–100.045%24 Sept →
anubis6–13-0.034%24 Sept →
nuke13–8-0.012%24 Sept →
cache11–130.0718%24 Sept →
nuke13–7-0.0717%24 Sept →
inferno13–100.0218%24 Sept →
anubis13–60.0119%24 Sept →
ancient8–130.0613%23 Sept →
dust213–30.027%23 Sept →
anubis2–13-0.0015%23 Sept →
inferno13–4-0.0214%23 Sept →

Match data via Leetify.

Recent teammates

Milestones

100 Matches13-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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