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AgarthaProtectorDiddy

AgarthaProtectorDiddy — CS2 Stats

LV76561199445879565[U:1:1485613837]Steam profile ↗✓ No bans

199Tracked matches52%Win rate2022Tracked since
CSDB Rating2.9 Learning
Premier CS Rating9,999Light Blue band · top ~54.9% of ranked players (population est.)
CSDB Leaderboard#26352 of 36302 tracked
WingmanMaster Guardian I
Ladder ranks via Leetify

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CSDB.GGAgarthaProtectorDiddyPREMIER9,999 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim33
Positioning35
Utility24

0–100 skill scores via Leetify.

Recent form

STEADY49–44–7Last 10049%Win rateWLLWWLLWWW

Last 10 vs previous 10: +10pp win rate · -0.06 avg rating

Player DNA

Aim3.3
Aggression2.4
Utility2.4
Positioning3.5
Opening Duels0.0
Clutch6.0

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

NiKo

Plays most like NiKo 66% 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

Reaction time. 592ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim3.3
Positioning3.5
Utility2.4
Mechanics4.0
Opening Duels0.2
Win Impact5.6

Composite 2.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.05−0.02
first ⅓ avg -0.03 → last ⅓ avg -0.05
Reaction time567ms−69ms
first ⅓ avg 636ms → last ⅓ avg 567ms
Headshot accuracy10.1%−2.8%
first ⅓ avg 12.9% → last ⅓ avg 10.1%

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

0.38Best rating — inferno 6–0
13–2Biggest win — dust2
5Longest win streak
9–6In matches decided by ≤2 rounds
9Overtime games

Map breakdown

dust2Best map · 52% over 21mirageWeakest map · 41% over 22
MapGradePlayedRecordWin rateAvg rating
infernoB3316–1748%-0.05
mirageC229–1341%-0.04
dust2B2111–1052%-0.03
ancientB126–650%-0.04
anubis—43–175%-0.05
cache—33–0100%-0.05
nuke—31–233%-0.03
vertigo—20–20%-0.07

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (41% over 22). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

34Matches
56%Win rate
0.78Avg K/D
64.6ADR
32%Headshot %

Clutches & streaks

50%1v1 clutch win
13%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1182%0.8311.4
Dust2838%0.7211.5
Ancient650%0.869.2
Anubis367%0.7010.3
Train10%0.8012.0
Overpass1100%0.7213.0
Inferno10%0.9416.0

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.

13.4%Headshot accuracy
26.3%Accuracy (enemy spotted)
29.3%Spray accuracy
68.1%Counter-strafing
10.4°Preaim
592msReaction time
25.3%T opening success
31.8%CT opening success
0.43Enemies flashed / flash
3.8%Flash assists
6.88HE damage / grenade
2.00Flashes / 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 13.4181% — 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 0.4288 — 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 25.325% — 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.

41% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–7-0.0111%20 Aug →
inferno7–90.0118%16 Aug →
inferno0–9-0.276%16 Aug →
inferno9–5-0.0312%16 Aug →
inferno9–7-0.014%16 Aug →
inferno3–9-0.110%14 Aug →
inferno6–9-0.216%12 Aug →
inferno9–3-0.070%12 Aug →
inferno9–1-0.0314%12 Aug →
inferno9–4-0.0016%12 Aug →
mirage13–11-0.028%2 Aug →
dust213–9-0.0413%30 Jul →
inferno7–9-0.0619%30 Jul →
inferno8–8-0.1010%30 Jul →
ancient2–13-0.1111%29 Jul →
inferno8–8-0.015%25 Jul →
inferno9–40.0319%25 Jul →
inferno6–00.3815%25 Jul →
inferno1–9-0.206%24 Jul →
inferno9–7-0.054%24 Jul →
inferno8–8-0.099%24 Jul →
inferno9–20.0319%24 Jul →
inferno9–50.025%24 Jul →
inferno6–9-0.126%24 Jul →
inferno9–70.0015%24 Jul →
dust29–13-0.0513%23 Jul →
dust213–8-0.086%23 Jul →
inferno9–7-0.0011%23 Jul →
inferno5–9-0.207%23 Jul →
inferno9–3-0.0210%23 Jul →
inferno7–9-0.0911%22 Jul →
inferno9–6-0.0312%22 Jul →
inferno8–8-0.1211%22 Jul →
inferno9–10.0924%22 Jul →
mirage13–11-0.0613%22 Jul →
cache13–9-0.0116%22 Jul →
inferno2–9-0.209%19 Jul →
inferno5–9-0.1119%19 Jul →
dust213–9-0.0211%15 Jul →
mirage15–15-0.0014%15 Jul →
ancient13–6-0.047%15 Jul →
inferno4–13-0.1010%15 Jul →
mirage13–6-0.048%15 Jul →
vertigo4–90.0214%13 Jul →
vertigo7–9-0.1612%12 Jul →
cache13–5-0.0819%11 Jul →
dust25–13-0.076%11 Jul →
ancient13–6-0.0112%11 Jul →
dust213–9-0.0410%10 Jul →
dust28–13-0.0525%10 Jul →
mirage8–130.0017%10 Jul →
mirage10–13-0.0617%10 Jul →
cache13–10-0.0516%10 Jul →
inferno4–13-0.0114%12 Jun →
ancient4–13-0.0513%12 Jun →
ancient13–10-0.0521%12 Jun →
dust213–20.0318%12 Jun →
dust21–13-0.023%30 May →
ancient13–16-0.009%27 May →
anubis8–13-0.067%25 May →
mirage2–13-0.0740%25 May →
mirage13–16-0.0816%20 May →
mirage16–14-0.0515%8 Apr →
ancient8–13-0.0920%7 Apr →
mirage2–13-0.0310%7 Apr →
dust215–150.0118%7 Apr →
mirage10–13-0.0918%7 Apr →
mirage0–13-0.060%5 Apr →
dust29–130.0217%5 Apr →
dust21–9-0.0411%2 Apr →
dust213–60.0010%2 Apr →
mirage13–10-0.079%2 Apr →
nuke3–13-0.0518%2 Apr →
nuke13–30.0314%29 Mar →
dust216–140.019%28 Mar →
dust213–4-0.0510%28 Mar →
dust22–70.010%20 Mar →
dust29–13-0.0711%15 Mar →
mirage13–10-0.0314%15 Mar →
dust213–11-0.0413%1 Mar →
ancient13–7-0.0516%1 Mar →
anubis16–13-0.066%1 Mar →
mirage11–13-0.0328%28 Feb →
mirage8–13-0.0433%27 Feb →
mirage15–15-0.0417%27 Feb →
ancient8–130.0224%27 Feb →
ancient10–130.0113%25 Feb →
mirage3–13-0.077%25 Feb →
anubis13–9-0.005%23 Feb →
dust216–12-0.0126%22 Feb →
mirage10–13-0.0232%18 Feb →
anubis13–6-0.060%17 Feb →
mirage13–6-0.044%17 Feb →
nuke3–13-0.0720%14 Feb →
dust212–13-0.0712%9 Feb →
dust213–10-0.0311%28 Jan →
mirage13–70.0914%28 Jan →
inferno13–3-0.036%24 Dec →
ancient13–4-0.026%20 Dec →
mirage13–9-0.0111%20 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 →

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