DONKeyDikkk — CS2 Stats

76561198964405755[U:1:1004140027]

780Tracked matches50%Win rate2023Tracked since

1,001Hours in CS102Hrs last 2 wks

CSDB Rating6.0 SolidPassive Rifler

Premier CS Rating16,662Purple band · top ~21.8% of ranked players (population est.)

CSDB Leaderboard#8110 of 13532 tracked

FaceitLevel 5 · 910 ELOTop 67.6% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

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Performance scores

Aim84

Positioning46

Utility42

0–100 skill scores via Leetify.

Recent form

STEADY53–46–1Last 10053%Win rateWWLLLWLLWL

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

Player DNA

Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.

Aim8.4

Aggression4.3

Utility4.2

Positioning4.6

Opening Duels0.5

Clutch3.2

Strong CT-side opener

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 87% playstyle similarity

Most alike: opening-fight frequency, aim profile.

Where you differ: lower positioning 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

Preaim. Mechanical aim is strong but the crosshair sits 10.9° off target when enemies appear — placement, not flicking, is the bigger win available.

Positioning. Positioning trails aim by 38 points — deaths here waste a strong aim profile.

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 45% on CT to 19% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.4

Positioning4.6

Utility4.2

Mechanics8.0

Opening Duels1.9

Win Impact5.0

Composite 6.0/10 (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 rating0.00+0.02

first ⅓ avg -0.02 → last ⅓ avg 0.00

Reaction time575ms−71ms

first ⅓ avg 646ms → last ⅓ avg 575ms

Headshot accuracy14.0%−6.8%

first ⅓ avg 20.8% → last ⅓ avg 14.0%

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

0.18Best rating — mirage 2–13

13–1Biggest win — anubis

10Longest win streak

W2Current streak

6–8In matches decided by ≤2 rounds

11Overtime games

Map breakdown

anubisBest map · 67% over 15infernoWeakest map · 13% over 8

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	25	15–10	60%	0.00
cache	B	21	10–11	48%	-0.01
dust2	A	19	12–7	63%	-0.01
anubis	S	15	10–5	67%	0.03
inferno	D	8	1–7	13%	-0.02
ancient	D	6	2–4	33%	-0.03
nuke	—	4	2–2	50%	0.03
vertigo	—	2	1–1	50%	-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

14,541Lifetime kills

0.94K/D

923Matches

48.1%Match win rate · Top 50% of tracked players

46.4%Headshot % · Top 50% of tracked players

0.7%Shot accuracy

1,761MVPs

353Hours (in match)

1,297Bombs planted

202Bombs defused

Most-used weapons

AK-476,600

M4A4 / M4A1-S3,577

P2000 / USP-S647

MAC-10556

Glock-18446

MP9427

AWP341

Knife331

Galil AR327

Tec-9296

Lifetime map wins

2,435dust2

966inferno

699nuke

167train

134vertigo

19office

11cbble

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

Faceit stats

Combat

453Matches

49%Win rate

0.95Avg K/D

71.3ADR

43%Headshot %

Clutches & streaks

36%1v1 clutch win

20%1v2 clutch win

7Longest win streak

Recent Faceit resultsWLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	122	47%	0.97	14.0
Mirage	116	51%	0.93	13.9
Anubis	65	58%	1.07	14.7
Ancient	41	46%	0.82	12.8
Inferno	35	34%	0.86	13.6
Cache	32	53%	1.05	16.8
Nuke	23	39%	0.83	11.6
Overpass	12	58%	0.86	10.2

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.

14.4%Headshot accuracy

43.3%Accuracy (enemy spotted)

44.8%Spray accuracy

86.2%Counter-strafing

10.9°Preaim

567msReaction time

19.5%T opening success

44.9%CT opening success

0.41Enemies flashed / flash

6.2%Flash assists

13.24HE damage / grenade

6.90Flashes / 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 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.3782% — below the 15% 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 0.4093 — 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 19.4685% — 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.

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–8	0.06	19%	26 Aug →
ancient	13–10	-0.03	15%	25 Aug →
mirage	9–13	-0.07	14%	24 Aug →
anubis	13–16	0.01	11%	23 Aug →
cache	3–13	-0.07	17%	23 Aug →
cache	19–16	0.02	14%	23 Aug →
inferno	9–13	0.06	13%	22 Aug →
dust2	8–13	0.02	8%	22 Aug →
dust2	13–8	-0.02	15%	22 Aug →
cache	17–19	-0.04	20%	22 Aug →
dust2	14–16	-0.03	18%	21 Aug →
anubis	13–10	-0.03	6%	20 Aug →
mirage	13–10	0.03	14%	20 Aug →
anubis	13–1	0.10	24%	20 Aug →
cache	13–11	0.06	13%	20 Aug →
dust2	13–2	0.09	10%	19 Aug →
mirage	13–6	0.06	8%	19 Aug →
cache	7–13	-0.03	9%	19 Aug →
mirage	13–6	-0.01	12%	19 Aug →
ancient	5–13	-0.02	10%	19 Aug →
mirage	9–13	-0.05	10%	19 Aug →
nuke	11–13	-0.00	20%	19 Aug →
anubis	10–13	0.02	10%	18 Aug →
mirage	13–7	-0.01	9%	18 Aug →
anubis	13–8	0.07	8%	18 Aug →
anubis	11–13	0.03	19%	17 Aug →
inferno	13–16	-0.03	33%	16 Aug →
cache	13–11	0.03	16%	16 Aug →
vertigo	9–13	-0.00	15%	13 Aug →
vertigo	13–11	-0.01	15%	13 Aug →
ancient	3–13	-0.05	15%	12 Aug →
dust2	13–10	-0.06	10%	12 Aug →
mirage	19–17	-0.00	14%	12 Aug →
dust2	9–13	-0.02	13%	12 Aug →
mirage	8–13	-0.07	7%	12 Aug →
dust2	13–8	-0.02	15%	12 Aug →
cache	13–10	0.06	16%	11 Aug →
anubis	13–8	0.01	16%	11 Aug →
dust2	13–7	-0.04	29%	11 Aug →
anubis	13–4	0.17	23%	11 Aug →
nuke	13–1	0.07	9%	11 Aug →
mirage	16–12	0.01	22%	11 Aug →
mirage	2–13	0.18	16%	11 Aug →
inferno	7–13	-0.05	11%	1 Aug →
nuke	14–16	-0.02	16%	1 Aug →
dust2	13–4	0.03	19%	1 Aug →
cache	6–13	-0.05	21%	1 Aug →
inferno	11–13	-0.02	30%	1 Aug →
cache	9–13	-0.04	12%	1 Aug →
dust2	10–13	-0.04	4%	31 Jul →
mirage	13–6	0.02	15%	31 Jul →
cache	13–5	0.06	21%	31 Jul →
anubis	13–9	-0.02	17%	31 Jul →
mirage	13–9	-0.01	12%	31 Jul →
anubis	13–11	0.02	17%	31 Jul →
cache	13–6	0.06	20%	30 Jul →
mirage	13–7	0.06	11%	30 Jul →
anubis	14–16	-0.01	7%	30 Jul →
inferno	8–8	-0.01	25%	30 Jul →
cache	8–13	0.06	10%	30 Jul →
mirage	11–13	-0.01	9%	29 Jul →
dust2	4–13	-0.06	13%	29 Jul →
mirage	16–12	0.01	15%	29 Jul →
dust2	13–7	0.02	11%	29 Jul →
dust2	13–8	0.03	24%	28 Jul →
cache	13–10	-0.03	13%	28 Jul →
nuke	13–9	0.05	14%	28 Jul →
anubis	13–10	0.03	9%	28 Jul →
dust2	13–3	0.01	13%	28 Jul →
mirage	13–5	0.05	15%	28 Jul →
dust2	13–8	0.09	19%	28 Jul →
mirage	13–9	-0.02	16%	27 Jul →
dust2	9–13	-0.07	20%	27 Jul →
anubis	13–9	0.02	17%	26 Jul →
cache	13–6	-0.04	17%	26 Jul →
cache	13–7	0.08	16%	26 Jul →
cache	7–13	-0.03	17%	24 Jul →
inferno	13–7	-0.03	20%	24 Jul →
cache	2–13	-0.11	50%	24 Jul →
mirage	13–16	-0.00	11%	23 Jul →
dust2	9–2	-0.01	20%	23 Jul →
dust2	13–7	-0.04	24%	23 Jul →
ancient	7–13	-0.05	21%	23 Jul →
mirage	7–13	-0.05	22%	23 Jul →
anubis	13–6	0.04	12%	23 Jul →
cache	1–1	-0.03	0%	23 Jul →
mirage	9–13	-0.10	20%	23 Jul →
mirage	13–8	-0.03	21%	22 Jul →
cache	8–13	-0.07	9%	22 Jul →
mirage	9–13	-0.05	29%	22 Jul →
ancient	5–13	-0.01	25%	21 Jul →
ancient	13–1	0.01	39%	21 Jul →
cache	6–13	-0.07	24%	21 Jul →
inferno	10–13	-0.06	26%	21 Jul →
mirage	13–2	0.09	34%	21 Jul →
anubis	7–13	0.02	28%	21 Jul →
dust2	7–13	-0.04	35%	20 Jul →
mirage	10–13	-0.04	22%	20 Jul →
inferno	7–13	-0.05	13%	16 Jul →
cache	6–13	-0.06	21%	13 Jul →