michael dolences

michael dolences — CS2 Stats

76561198056680283[U:1:96414555]Steam profile ↗✓ No bans

373Tracked matches24%Win rate2021Tracked since
CSDB Rating2.0 Learning
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGmichael dolencesFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim20
Positioning30
Utility13

0–100 skill scores via Leetify.

Recent form

STEADY385111Last 10038%Win rateLWLWLLLWWL

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating

Player DNA

Aim2.0
Aggression2.7
Utility1.3
Positioning3.0
Opening Duels0.0

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

b1t

Plays most like b1t 58% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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

T-side openings. Opening success drops from 34% on CT to 19% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 667ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim2.0
Positioning3.0
Utility1.3
Mechanics3.6
Opening Duels0.5
Win Impact0.0

Composite 2.0/10 (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-0.05−0.03
first ⅓ avg -0.02 → last ⅓ avg -0.05
Reaction time672ms+1ms
first ⅓ avg 671ms → last ⅓ avg 672ms
Headshot accuracy10.2%+0.5%
first ⅓ avg 9.7% → last ⅓ avg 10.2%

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

0.10Best rating — dust2 13–4
131Biggest win — inferno
5Longest win streak
311In matches decided by ≤2 rounds
2Overtime games

Map breakdown

mirageBest map · 42% over 24infernoWeakest map · 33% over 33
MapGradePlayedRecordWin rateAvg rating
dust2C34142041%-0.03
infernoD33112233%-0.04
mirageC24101442%-0.04
cache32167%-0.03
vertigo21150%-0.00
nuke1010%-0.05
thera1010%0.01
anubis1010%-0.09
overpass1010%-0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 33). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

9.9%Headshot accuracy
27.1%Accuracy (enemy spotted)
27.6%Spray accuracy
66.2%Counter-strafing
11.2°Preaim
667msReaction time
19.1%T opening success
34.1%CT opening success
0.44Enemies flashed / flash
1.7%Flash assists
6.29HE damage / grenade
2.40Flashes / 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 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 9.8549% — below the 15% mark we flag

    Aim Training
  2. 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 0.4372 — below the 0.5 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 19.0754% — 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.

33% win rate across 33 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust210–13-0.0517%1 Aug
dust213–100.0310%18 May
inferno8–13-0.028%30 Mar
dust213–8-0.008%26 Jan
mirage4–13-0.105%9 Jan
inferno6–10-0.0316%9 Jan
dust22–13-0.1213%6 Jan
inferno13–6-0.0116%6 Jan
dust213–4-0.037%10 Dec
dust211–13-0.059%27 Nov
mirage3–13-0.086%26 Sept
inferno8–13-0.096%9 Sept
dust29–130.0115%6 Sept
mirage10–13-0.064%3 Sept
mirage11–13-0.0710%3 Sept
inferno13–10-0.0413%25 Aug
mirage4–13-0.0914%19 Aug
dust28–13-0.0517%19 Aug
inferno1–13-0.1017%19 Aug
dust29–13-0.0512%13 Aug
inferno10–130.019%13 Aug
mirage6–13-0.0214%2 Aug
dust211–13-0.100%2 Aug
mirage6–13-0.0716%2 Aug
dust22–13-0.046%2 Aug
mirage12–12-0.057%2 Aug
mirage13–6-0.038%31 Jul
inferno11–13-0.098%31 Jul
dust29–13-0.094%19 Jul
vertigo13–11-0.027%19 Jul
dust24–13-0.109%19 Jul
mirage13–40.0512%19 Jul
dust26–13-0.0915%21 Jun
inferno11–13-0.060%21 Jun
inferno13–3-0.059%21 Jun
inferno13–3-0.063%27 May
dust212–12-0.076%27 May
mirage13–100.015%17 May
inferno11–13-0.055%7 May
dust23–9-0.108%30 Apr
mirage5–13-0.105%30 Apr
inferno13–60.0312%30 Apr
dust213–8-0.018%19 Apr
inferno5–13-0.067%19 Apr
mirage13–8-0.0511%15 Apr
inferno12–12-0.0712%13 Apr
dust28–13-0.018%10 Apr
mirage13–10-0.0711%5 Apr
dust213–50.0410%19 Mar
nuke11–13-0.0512%16 Mar
mirage5–130.029%16 Mar
dust213–50.0113%16 Mar
inferno13–6-0.0317%22 Feb
dust213–11-0.048%22 Feb
inferno1–13-0.100%27 Jan
dust212–12-0.056%26 Jan
inferno11–13-0.079%15 Jan
dust26–13-0.0310%15 Jan
dust211–13-0.100%14 Jan
mirage5–13-0.0913%5 Sept
thera12–120.0118%27 Jun
inferno13–110.0011%18 Jun
inferno12–12-0.063%16 Jun
dust26–13-0.113%16 Jun
mirage13–60.0510%16 Jun
inferno13–10.045%15 Jun
inferno13–100.006%15 Jun
dust213–30.028%15 Jun
dust213–90.0715%14 Jun
mirage6–13-0.0714%11 Jun
inferno12–12-0.0116%10 Jun
dust213–40.1013%28 Sept
dust213–60.0316%28 Sept
mirage13–9-0.038%24 Sept
mirage4–13-0.0811%24 Sept
inferno15–150.036%23 Sept
mirage11–130.0410%23 Sept
anubis6–13-0.0914%13 Sept
overpass3–13-0.074%13 Sept
vertigo2–130.018%12 Sept
mirage13–6-0.069%9 Sept
inferno3–13-0.106%9 Sept
inferno13–16-0.0314%7 Sept
mirage13–3-0.0010%2 Sept
inferno13–30.068%2 Sept
dust29–6-0.0517%1 Sept
inferno8–8-0.029%1 Sept
cache9–30.015%1 Sept
dust28–8-0.052%30 Aug
inferno8–8-0.060%27 Aug
mirage9–4-0.094%27 Aug
cache5–9-0.084%27 Aug
dust26–9-0.035%27 Aug
inferno4–9-0.139%20 Aug
inferno9–60.0617%20 Aug
dust29–30.0112%13 Aug
inferno7–9-0.0211%13 Aug
cache9–5-0.019%13 Aug
inferno3–9-0.0520%13 Aug
dust29–5-0.019%13 Aug

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →