mdskllz

mdskllz — CS2 Stats

US76561198055219744[U:1:94954016]Steam profile ↗✓ No bans

355Tracked matches48%Win rate2022Tracked since
CSDB Rating4.4 Developing
Premier CS Rating14,304Blue band · top ~32.1% of ranked players (population est.)
CSDB Leaderboard#29830 of 47323 tracked
Ladder ranks via Leetify

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CSDB.GGmdskllzPREMIER14,304 · Blue bandcsdb.gg/stats

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Performance scores

Aim47
Positioning55
Utility35

0–100 skill scores via Leetify.

Recent form

STEADY49483Last 10049%Win rateLLLLWWLWLW

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

Player DNA

Aim4.7
Aggression8.1
Utility3.5
Positioning5.5
Opening Duels3.2

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 82% playstyle similarity

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

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 56% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 602ms 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

Aim4.7
Positioning5.5
Utility3.5
Mechanics5.7
Opening Duels3.2
Win Impact4.4

Composite 4.4/10 (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 rating0.03+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time599ms−39ms
first ⅓ avg 637ms → last ⅓ avg 599ms
Headshot accuracy14.9%+0.4%
first ⅓ avg 14.5% → last ⅓ avg 14.9%

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

0.19Best rating — inferno 13–5
130Biggest win — inferno
9Longest win streak
L4Current streak
65In matches decided by ≤2 rounds
14Overtime games

Map breakdown

overpassBest map · 80% over 5nukeWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
infernoA2112957%0.05
mirageA2011955%0.03
ancientC135838%0.04
cacheB115645%0.03
nukeD103730%0.00
dust2B105550%0.02
anubisC104640%0.03
overpassS54180%0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

5Matches
20%Win rate
1.10Avg K/D
ADR
32%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLLW

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.

14.3%Headshot accuracy
31.9%Accuracy (enemy spotted)
34.7%Spray accuracy
75.6%Counter-strafing
12.1°Preaim
602msReaction time
29.5%T opening success
55.9%CT opening success
0.50Enemies flashed / flash
5.2%Flash assists
7.53HE damage / grenade
3.84Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.0986° — above the 12° mark we flag

    Aim Training
  2. 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 14.2822% — below the 15% mark we flag

    Aim Training
  3. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.8433 — below the 4 mark we flag

    Grenade Lineups
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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage2–130.0124%29 Aug
nuke7–13-0.1013%29 Aug
mirage8–13-0.0417%29 Aug
cache10–130.0613%29 Aug
dust213–90.0918%29 Aug
anubis13–70.189%29 Aug
inferno6–130.0013%25 Aug
inferno13–50.1915%25 Aug
ancient7–130.0913%24 Aug
dust216–140.0613%18 Aug
nuke8–130.0213%17 Aug
cache6–13-0.0123%17 Aug
ancient13–70.1410%16 Aug
ancient13–70.037%16 Aug
mirage13–100.0514%16 Aug
cache10–30.0950%16 Aug
nuke7–13-0.038%16 Aug
anubis11–130.0110%8 Aug
inferno7–130.0312%8 Aug
cache13–60.106%2 Aug
mirage13–50.006%2 Aug
cache6–13-0.1133%28 Jul
cache13–100.0211%27 Jul
ancient11–13-0.0816%25 Jul
cache13–80.0412%24 Jul
anubis15–150.019%24 Jul
nuke7–130.069%23 Jul
inferno7–10.1019%23 Jul
dust216–14-0.0314%16 Jul
dust26–130.0223%16 Jul
inferno13–10-0.0113%16 Jul
inferno2–130.0217%9 Jul
ancient11–130.0611%5 Jul
mirage11–13-0.0015%5 Jul
dust210–130.0011%5 Jul
inferno13–80.0618%5 Jul
ancient3–13-0.0414%5 Jul
ancient13–80.118%2 Jul
inferno13–00.0311%2 Jul
ancient13–110.009%29 Jun
mirage3–13-0.0014%29 Jun
mirage9–130.0010%27 Jun
dust25–13-0.0724%27 Jun
mirage10–130.0317%25 Jun
anubis13–100.0612%25 Jun
dust213–60.0815%24 Jun
ancient13–10.1612%19 Jun
nuke10–13-0.0212%18 Jun
inferno13–90.0618%18 Jun
inferno7–130.0311%18 Jun
dust215–150.025%14 Jun
mirage16–140.0612%13 Jun
anubis16–130.0712%13 Jun
mirage16–130.0611%13 Jun
overpass13–90.078%13 Jun
nuke7–13-0.0411%13 Jun
overpass6–13-0.0211%12 Jun
mirage13–80.106%8 Jun
ancient6–130.0420%8 Jun
inferno13–100.1025%8 Jun
anubis9–130.0114%2 Jun
ancient7–130.0211%1 Jun
inferno13–100.0011%1 Jun
inferno13–70.107%1 Jun
mirage9–130.0913%31 May
anubis4–130.0315%30 May
inferno13–16-0.0116%30 May
inferno13–40.1718%30 May
anubis11–13-0.009%29 May
nuke13–80.0611%29 May
nuke16–130.078%28 May
mirage13–20.0930%28 May
nuke13–100.0613%28 May
inferno13–160.0315%25 May
ancient8–130.0316%25 May
overpass13–40.0511%25 May
mirage2–13-0.0413%23 May
inferno5–130.0313%23 May
dust28–13-0.0013%21 May
cache9–130.0411%21 May
cache7–13-0.0214%16 May
cache9–130.0818%30 Apr
cache13–60.0213%30 Apr
mirage15–150.0516%11 Feb
anubis7–13-0.0614%4 Feb
nuke4–13-0.0714%2 Feb
mirage13–110.0331%2 Feb
inferno6–130.0113%30 Jan
mirage13–7-0.0211%25 Jan
anubis13–3-0.0113%22 Jan
dust216–12-0.0222%15 Jan
overpass13–6-0.0015%15 Jan
mirage13–110.0112%7 Jan
mirage16–120.0412%6 Jan
overpass16–120.0217%5 Jan
inferno13–70.007%3 Jan
inferno13–90.0825%2 Jan
inferno6–13-0.028%25 Dec
mirage13–100.0315%25 Dec
ancient3–13-0.008%22 Dec

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 →