ディドラー

ディドラー — CS2 Stats

AU76561198296679986[U:1:336414258]Steam profile ↗✓ No bans

952Tracked matches57%Win rate2021Tracked since
CSDB Rating6.2 SolidHybrid Rifler
Premier CS Rating16,490Purple band · top ~22.5% of ranked players (population est.)
CSDB Leaderboard#13716 of 23340 tracked
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

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CSDB.GGディドラーFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER16,490 · Purple bandcsdb.gg/stats

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Performance scores

Aim77
Positioning54
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY48502Last 10048%Win rateLWWWLLWLLL

Last 10 vs previous 10: -20pp win rate · +0.01 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim7.7
Aggression5.8
Utility4.3
Positioning5.4
Opening Duels2.9

Strong CT-side openerLimited 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.

Your pro match

Twistzz

Plays most like Twistzz 88% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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.

T-side openings. Opening success drops from 50% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 591ms 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

Aim7.7
Positioning5.4
Utility4.3
Mechanics8.0
Opening Duels2.9
Win Impact7.2

Composite 6.2/10 (Solid), 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+0.02
first ⅓ avg -0.00 → last ⅓ avg 0.02
Reaction time595ms−23ms
first ⅓ avg 618ms → last ⅓ avg 595ms
Headshot accuracy12.6%+0.1%
first ⅓ avg 12.6% → last ⅓ avg 12.6%

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

0.13Best rating — dust2 5–13
130Biggest win — mirage
7Longest win streak
714In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 75% over 12infernoWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2A2012860%0.04
mirageC2081240%0.01
ancientB158753%0.00
cacheD134931%-0.00
anubisC135838%-0.00
nukeS129375%0.03
infernoD72529%0.02

Across the last 100 tracked matches.

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

Faceit stats

Combat

10Matches
50%Win rate
0.75Avg K/D
ADR
26%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
3Longest win streak

Recent Faceit resultsWWWLL

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.

12.0%Headshot accuracy
38.3%Accuracy (enemy spotted)
41.5%Spray accuracy
86.0%Counter-strafing
9.0°Preaim
591msReaction time
33.7%T opening success
49.8%CT opening success
0.58Enemies flashed / flash
11.0%Flash assists
10.29HE damage / grenade
2.52Flashes / 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 12.0195% — below the 15% 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 2.5217 — 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 33.6635% — 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.

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

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient9–13-0.057%29 Aug
cache13–11-0.036%29 Aug
dust213–50.0510%29 Aug
mirage13–110.0114%29 Aug
dust25–130.1317%29 Aug
mirage11–130.0315%28 Aug
nuke13–60.0016%28 Aug
anubis6–130.0116%28 Aug
dust213–160.0512%28 Aug
cache8–13-0.0411%28 Aug
nuke13–80.0510%28 Aug
inferno10–13-0.017%28 Aug
anubis10–130.0112%28 Aug
anubis13–10-0.0317%28 Aug
dust211–13-0.007%28 Aug
mirage13–11-0.0110%27 Aug
cache11–13-0.029%27 Aug
mirage13–0-0.0218%26 Aug
ancient13–50.0416%26 Aug
inferno13–100.087%26 Aug
dust213–6-0.028%26 Aug
mirage13–10-0.039%26 Aug
dust213–60.0511%25 Aug
mirage13–70.0518%25 Aug
ancient7–130.026%25 Aug
mirage10–130.1024%25 Aug
ancient11–130.0412%25 Aug
ancient13–5-0.0913%25 Aug
nuke13–90.0113%25 Aug
dust213–110.0513%25 Aug
anubis11–130.0817%25 Aug
cache5–130.0413%25 Aug
dust213–70.0821%25 Aug
dust213–70.029%24 Aug
cache8–110.0110%24 Aug
ancient11–13-0.086%24 Aug
dust213–20.1220%24 Aug
ancient3–13-0.017%24 Aug
nuke13–6-0.0411%23 Aug
nuke5–130.0318%22 Aug
dust27–13-0.017%22 Aug
dust213–60.0411%22 Aug
anubis13–4-0.0113%22 Aug
mirage13–90.0520%22 Aug
nuke13–80.0214%20 Aug
mirage9–13-0.009%20 Aug
anubis13–90.019%19 Aug
cache6–130.0112%19 Aug
ancient13–6-0.0113%19 Aug
mirage14–160.0712%19 Aug
inferno13–60.0725%19 Aug
cache11–130.0810%18 Aug
mirage11–130.0716%18 Aug
dust213–10-0.0314%18 Aug
ancient13–70.0514%18 Aug
cache4–13-0.0217%18 Aug
anubis13–50.0512%18 Aug
dust211–130.099%18 Aug
dust29–13-0.0319%18 Aug
anubis15–15-0.0410%18 Aug
cache13–110.1220%18 Aug
inferno4–13-0.0111%18 Aug
inferno8–130.0015%18 Aug
mirage6–130.0717%18 Aug
dust213–70.0611%18 Aug
nuke4–130.0710%18 Aug
dust23–13-0.0016%17 Aug
mirage13–90.0514%17 Aug
nuke13–90.0915%17 Aug
mirage11–130.029%17 Aug
cache13–80.0712%17 Aug
inferno14–16-0.009%17 Aug
dust213–110.0611%17 Aug
mirage12–16-0.0312%17 Aug
dust213–100.0819%17 Aug
anubis10–13-0.095%17 Aug
ancient13–60.0112%17 Aug
anubis6–130.0412%17 Aug
ancient13–70.039%17 Aug
dust212–16-0.0511%17 Aug
mirage8–130.039%16 Aug
anubis16–140.019%16 Aug
nuke7–13-0.0118%15 Aug
cache13–10-0.067%15 Aug
mirage16–13-0.0516%15 Aug
ancient13–100.017%15 Aug
nuke13–90.0717%15 Aug
ancient15–15-0.038%15 Aug
anubis12–16-0.0413%15 Aug
ancient13–90.0112%15 Aug
mirage5–90.0027%15 Aug
ancient11–130.045%15 Aug
nuke13–5-0.028%15 Aug
nuke13–60.0517%15 Aug
cache11–13-0.0710%15 Aug
anubis7–13-0.049%15 Aug
mirage7–13-0.0520%15 Aug
mirage2–13-0.0810%15 Aug
inferno5–130.0223%14 Aug
cache0–13-0.1120%14 Aug

Match data via Leetify.

Milestones

500 Matches
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