P Diddyy — CS2 Stats

RW76561198321169852[U:1:360904124]Steam profile ↗

915Tracked matches37%Win rate2020Tracked since

3,810Hours in CS10Hrs last 2 wks

CSDB Rating2.7 Learning

Premier CS Rating11,316Blue band · top ~47.9% of ranked players (population est.)

CSDB Leaderboard#19536 of 27416 tracked

FaceitLevel 3 · 1,042 ELOTop 90.6% of ranked FACEIT players

WingmanGold Nova II

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=607), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 3 median	Level 4 median	vs Level 4
Headshot rate	45.5%	42.1%	42.5%	above
Shot accuracy	15.3%	12.1%	10.9%	above
Kill/death ratio	0.80	0.99	0.99	0.19 short
Match win rate	41.1%	43.9%	44.2%	3.1% short

This profile matches the typical Level 4 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim25

Positioning25

Utility58

0–100 skill scores via Leetify.

Recent form

COLD44–54–2Last 10044%Win rateLLLWLWLLLL

Last 10 vs previous 10: -30pp win rate · +0.03 avg rating

Player DNA

Aim2.5

Aggression1.4

Utility5.8

Positioning2.5

Opening Duels0.0

Clutch2.4

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

Plays most like NiKo 67% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 738ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim2.5

Positioning2.5

Utility5.8

Mechanics4.3

Opening Duels0.0

Win Impact0.6

Composite 2.7/10 (Learning), 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-0.03−0.01

first ⅓ avg -0.02 → last ⅓ avg -0.03

Reaction time739ms+67ms

first ⅓ avg 672ms → last ⅓ avg 739ms

Headshot accuracy19.2%+4.7%

first ⅓ avg 14.5% → last ⅓ avg 19.2%

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

0.13Best rating — dust2 13–9

13–1Biggest win — inferno

4Longest win streak

L3Current streak

8–10In matches decided by ≤2 rounds

10Overtime games

Map breakdown

infernoBest map · 60% over 20nukeWeakest map · 0% over 7

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	30	12–18	40%	-0.03
inferno	A	20	12–8	60%	-0.03
anubis	B	14	7–7	50%	-0.03
cache	C	14	5–9	36%	-0.05
dust2	B	8	4–4	50%	-0.01
nuke	D	7	0–7	0%	-0.02
ancient	A	5	3–2	60%	-0.01
overpass	—	2	1–1	50%	0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (0% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

108,014Lifetime kills

0.80K/D

6,210Matches

41.1%Match win rate

45.5%Headshot % · Top 50% of Level 3 players

15.3%Shot accuracy · Top 50% of Level 3 players

15,443MVPs

2,230Hours (in match)

2,416Bombs planted

967Bombs defused

Most-used weapons

AK-4727,101

M4A4 / M4A1-S17,685

AWP10,593

P2000 / USP-S9,108

Desert Eagle8,584

Glock-184,524

P2503,508

SG 5533,223

MAC-102,408

Knife2,187

Lifetime map wins

9,359inferno

3,491dust2

2,576train

1,493nuke

1,426cbble

1,366vertigo

183lake

108office

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

341Matches

50%Win rate

0.74Avg K/D

64.2ADR

44%Headshot %

Clutches & streaks

32%1v1 clutch win

24%1v2 clutch win

9Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	40	55%	0.88	13.2
Anubis	27	56%	0.70	11.5
Inferno	25	48%	0.71	11.4
Cache	8	50%	0.59	10.0
Dust2	8	50%	0.76	14.8
Nuke	8	38%	0.80	13.1
Ancient	7	29%	0.80	14.9

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.

17.6%Headshot accuracy

26.5%Accuracy (enemy spotted)

30.8%Spray accuracy

69.3%Counter-strafing

11.5°Preaim

738msReaction time

19.0%T opening success

24.7%CT opening success

0.46Enemies flashed / flash

2.6%Flash assists

11.35HE damage / grenade

17.92Flashes / 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.

Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 737.7997ms — above the 700ms mark we flag
Aim Training →
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 0.4572 — below the 0.5 mark we flag
Grenade Lineups →
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 18.9856% — below the 40% mark we flag

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.

0% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	11–13	-0.01	17%	28 Aug →
mirage	10–13	-0.01	24%	27 Aug →
anubis	9–13	-0.06	8%	27 Aug →
ancient	13–11	0.02	20%	25 Aug →
nuke	2–13	-0.04	24%	24 Aug →
cache	13–11	-0.05	12%	24 Aug →
cache	11–13	-0.05	33%	10 Aug →
anubis	9–13	-0.03	16%	10 Aug →
cache	5–13	-0.03	18%	10 Aug →
mirage	8–13	0.01	24%	9 Aug →
inferno	13–6	-0.01	27%	8 Aug →
dust2	13–10	-0.04	20%	6 Aug →
mirage	16–13	-0.05	15%	2 Aug →
cache	6–13	-0.07	20%	2 Aug →
inferno	13–16	-0.06	15%	1 Aug →
anubis	10–13	-0.07	14%	1 Aug →
mirage	13–7	-0.08	8%	1 Aug →
anubis	13–10	-0.03	20%	30 Jul →
mirage	9–13	-0.03	24%	29 Jul →
mirage	5–13	-0.10	11%	26 Jul →
inferno	12–16	-0.06	16%	26 Jul →
anubis	4–13	-0.02	16%	26 Jul →
cache	7–13	-0.01	18%	25 Jul →
anubis	5–13	-0.01	23%	25 Jul →
mirage	8–13	-0.01	9%	23 Jul →
inferno	13–10	-0.08	15%	23 Jul →
inferno	13–11	-0.02	10%	19 Jul →
inferno	13–1	0.08	14%	19 Jul →
mirage	13–7	0.03	20%	19 Jul →
cache	4–13	-0.06	22%	17 Jul →
nuke	8–13	0.03	35%	15 Jul →
inferno	9–7	0.03	57%	15 Jul →
inferno	8–13	-0.04	12%	15 Jul →
mirage	8–13	-0.04	20%	15 Jul →
overpass	9–1	0.11	13%	15 Jul →
inferno	5–13	-0.06	43%	14 Jul →
mirage	11–13	-0.01	16%	13 Jul →
ancient	11–13	-0.08	7%	13 Jul →
inferno	4–13	-0.04	29%	13 Jul →
cache	3–13	-0.05	15%	13 Jul →
inferno	11–13	-0.09	11%	13 Jul →
mirage	19–16	0.03	9%	13 Jul →
inferno	9–6	-0.11	13%	13 Jul →
mirage	13–16	0.03	17%	12 Jul →
cache	13–8	-0.04	15%	12 Jul →
cache	13–4	-0.08	12%	12 Jul →
mirage	14–16	0.04	16%	12 Jul →
mirage	7–13	-0.05	12%	11 Jul →
inferno	13–9	-0.06	15%	11 Jul →
cache	7–13	-0.07	13%	10 Jul →
mirage	5–13	-0.09	13%	10 Jul →
anubis	13–6	0.01	15%	10 Jul →
mirage	13–10	-0.06	16%	10 Jul →
inferno	15–15	0.01	14%	10 Jul →
anubis	13–9	-0.03	12%	10 Jul →
mirage	13–3	-0.01	30%	10 Jul →
cache	12–12	-0.05	21%	7 Jul →
dust2	5–13	-0.10	7%	6 Jul →
inferno	7–13	-0.04	21%	6 Jul →
nuke	11–13	-0.06	13%	5 Jul →
dust2	4–13	-0.11	36%	5 Jul →
mirage	7–13	0.02	19%	5 Jul →
cache	16–13	-0.01	26%	4 Jul →
cache	13–4	-0.06	21%	4 Jul →
mirage	11–13	-0.10	16%	3 Jul →
mirage	13–7	0.00	10%	2 Jul →
mirage	13–8	0.02	11%	1 Jul →
mirage	4–13	-0.13	10%	30 Jun →
anubis	5–13	-0.09	19%	30 Jun →
inferno	13–11	0.01	16%	29 Jun →
mirage	16–13	0.01	21%	29 Jun →
mirage	8–13	-0.08	10%	29 Jun →
mirage	13–8	-0.02	16%	29 Jun →
anubis	13–6	-0.05	19%	29 Jun →
inferno	13–11	0.01	20%	26 Jun →
anubis	13–3	0.08	6%	26 Jun →
dust2	6–13	0.00	7%	26 Jun →
anubis	13–6	0.04	23%	26 Jun →
ancient	13–9	-0.02	18%	25 Jun →
anubis	16–14	-0.05	22%	23 Jun →
ancient	7–13	0.02	18%	23 Jun →
dust2	13–9	0.06	16%	23 Jun →
dust2	9–13	-0.04	21%	23 Jun →
dust2	13–10	0.01	8%	22 Jun →
dust2	13–9	0.13	15%	22 Jun →
ancient	13–10	0.02	19%	22 Jun →
overpass	7–13	-0.03	14%	22 Jun →
inferno	13–9	-0.10	20%	22 Jun →
mirage	11–13	-0.01	12%	21 Jun →
inferno	13–11	0.03	10%	21 Jun →
nuke	6–13	-0.08	12%	21 Jun →
inferno	13–4	0.06	8%	21 Jun →
anubis	0–13	-0.07	6%	21 Jun →
mirage	13–7	-0.01	12%	20 Jun →
nuke	8–13	-0.03	12%	20 Jun →
mirage	13–6	-0.06	24%	20 Jun →
cache	7–13	-0.14	10%	20 Jun →
mirage	7–13	-0.01	15%	19 Jun →
nuke	10–13	0.00	12%	19 Jun →
nuke	11–13	-0.00	8%	19 Jun →