Donny's Apple — CS2 Stats

76561198082420444[U:1:122154716]Steam profile ↗

834Tracked matches45%Win rate2020Tracked since

3,225Hours in CS2Hrs last 2 wks

CSDB Rating5.2 DevelopingHybrid Rifler

FaceitLevel 1Top 100.0% of ranked FACEIT players

WingmanGold Nova III

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim63

Positioning57

Utility55

0–100 skill scores via Leetify.

Recent form

STEADY40–52–8Last 10040%Win rateWLLLWWWTLL

Last 10 vs previous 10: +0pp win rate · +0.04 avg rating

Player DNA

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

Aim6.3

Aggression9.2

Utility5.5

Positioning5.7

Opening Duels4.1

Clutch6.0

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 jL 89% playstyle similarity

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

Where you differ: 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 57% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 600ms 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

Aim6.3

Positioning5.7

Utility5.5

Mechanics4.1

Opening Duels4.1

Win Impact3.3

Composite 5.2/10 (Developing), 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 rating0.01−0.03

first ⅓ avg 0.04 → last ⅓ avg 0.01

Reaction time596ms+25ms

first ⅓ avg 571ms → last ⅓ avg 596ms

Headshot accuracy19.7%−2.4%

first ⅓ avg 22.1% → last ⅓ avg 19.7%

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

0.24Best rating — eldorado 9–2

13–1Biggest win — anubis

6Longest win streak

13–7In matches decided by ≤2 rounds

10Overtime games

Map breakdown

anubisBest map · 60% over 15cacheWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
mirage	D	17	5–12	29%	0.04
inferno	D	15	4–11	27%	-0.01
nuke	C	15	6–9	40%	0.02
anubis	A	15	9–6	60%	0.02
ancient	C	11	4–7	36%	0.01
cache	D	7	1–6	14%	0.02
overpass	A	7	4–3	57%	0.00
dust2	B	6	3–3	50%	0.04
poseidon	—	2	0–2	0%	0.03
vertigo	—	1	1–0	100%	0.06
eldorado	—	1	1–0	100%	0.24
debris	—	1	1–0	100%	0.10
train	—	1	0–1	0%	-0.00
sanctum	—	1	1–0	100%	0.01

Across the last 100 tracked matches.

Lifetime stats

98,920Lifetime kills

1.13K/D · Top 50% of tracked players

3,997Matches

33.8%Match win rate

44.6%Headshot %

17.3%Shot accuracy · Top 25% of tracked players

10,463MVPs

1,363Hours (in match)

3,220Bombs planted

910Bombs defused

Most-used weapons

AK-4734,166

AWP18,269

M4A4 / M4A1-S16,630

P2000 / USP-S5,565

Desert Eagle5,020

Glock-183,432

Knife1,499

Galil AR1,492

SSG 081,291

MP71,150

Lifetime map wins

4,780inferno

3,708nuke

3,102dust2

2,935vertigo

791train

567lake

348cbble

46office

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

Faceit stats

Combat

30Matches

20%Win rate

1.24Avg K/D

93.1ADR

33%Headshot %

Clutches & streaks

50%1v1 clutch win

17%1v2 clutch win

4Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	3	33%	1.39	16.0
Inferno	1	0%	1.07	15.0
Dust2	1	0%	1.33	20.0
Mirage	1	0%	0.95	19.0

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.

19.5%Headshot accuracy

35.7%Accuracy (enemy spotted)

38.3%Spray accuracy

68.6%Counter-strafing

10.4°Preaim

600msReaction time

35.4%T opening success

57.2%CT opening success

0.49Enemies flashed / flash

6.7%Flash assists

9.97HE damage / grenade

8.50Flashes / 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.

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 0.4941 — 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 35.3519% — below the 40% mark we flag

Spend your practice time on Cache

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
vertigo	13–10	0.06	16%	28 Aug →
inferno	2–13	-0.08	7%	20 Aug →
nuke	10–13	-0.08	21%	19 Jul →
inferno	4–13	-0.01	12%	19 Jul →
ancient	13–11	0.04	11%	12 Jul →
eldorado	9–2	0.24	17%	12 Jul →
debris	9–6	0.10	17%	12 Jul →
poseidon	8–8	0.06	27%	12 Jul →
anubis	10–13	0.00	11%	12 Jul →
dust2	5–13	0.01	27%	11 Jul →
ancient	6–13	-0.03	17%	11 Jul →
nuke	10–13	0.00	11%	11 Jul →
inferno	13–11	-0.00	13%	11 Jul →
ancient	13–8	0.04	14%	11 Jul →
mirage	7–13	0.00	13%	10 Jul →
cache	2–13	-0.12	20%	10 Jul →
nuke	13–11	0.00	24%	9 Jul →
inferno	13–6	0.01	19%	9 Jul →
mirage	2–13	0.01	36%	4 Jul →
nuke	11–13	-0.03	26%	4 Jul →
anubis	13–8	0.06	23%	4 Jul →
cache	13–11	-0.06	24%	3 Jul →
anubis	13–11	-0.02	15%	3 Jul →
inferno	13–11	0.02	23%	3 Jul →
overpass	13–10	-0.03	14%	3 Jul →
ancient	12–12	0.01	35%	3 Jul →
train	9–13	-0.00	38%	3 Jul →
inferno	7–13	-0.01	18%	3 Jul →
dust2	13–8	0.06	28%	2 Jul →
mirage	11–13	0.09	18%	2 Jul →
anubis	8–13	-0.02	24%	2 Jul →
mirage	10–13	0.07	21%	2 Jul →
nuke	16–14	0.03	13%	2 Jul →
overpass	3–13	-0.03	16%	1 Jul →
anubis	13–10	0.01	10%	1 Jul →
nuke	13–8	0.06	19%	1 Jul →
ancient	11–13	0.03	21%	30 Jun →
overpass	3–13	-0.04	28%	26 Jun →
anubis	13–3	0.04	26%	26 Jun →
ancient	13–4	0.08	24%	26 Jun →
nuke	10–13	0.09	31%	26 Jun →
mirage	14–16	0.03	14%	26 Jun →
mirage	13–5	-0.00	26%	25 Jun →
inferno	6–13	-0.06	24%	25 Jun →
nuke	4–13	-0.02	23%	25 Jun →
cache	4–13	0.02	19%	9 Jun →
anubis	2–7	0.00	0%	4 Jun →
inferno	9–13	0.03	24%	4 Jun →
inferno	9–13	0.02	29%	3 Jun →
mirage	7–13	0.07	22%	3 Jun →
nuke	4–13	-0.06	31%	31 May →
anubis	4–13	-0.07	13%	31 May →
overpass	15–15	0.03	15%	31 May →
mirage	11–13	0.09	15%	31 May →
nuke	13–8	0.14	17%	31 May →
mirage	7–13	-0.03	13%	30 May →
inferno	13–5	0.03	15%	30 May →
inferno	15–15	0.01	28%	28 May →
mirage	6–13	-0.03	19%	28 May →
mirage	13–9	0.04	26%	28 May →
anubis	13–10	0.01	10%	28 May →
nuke	13–7	0.05	19%	28 May →
ancient	6–13	-0.04	20%	28 May →
dust2	13–11	-0.02	19%	27 May →
inferno	6–13	-0.06	20%	27 May →
nuke	12–16	0.04	11%	27 May →
cache	3–13	0.03	28%	27 May →
mirage	13–7	0.03	15%	25 May →
overpass	16–14	0.03	20%	25 May →
ancient	13–8	-0.03	14%	25 May →
nuke	13–3	0.08	23%	25 May →
anubis	16–14	0.02	12%	24 May →
anubis	13–11	0.03	23%	24 May →
mirage	6–13	0.01	15%	24 May →
mirage	13–9	0.14	24%	22 May →
dust2	13–7	0.08	15%	22 May →
inferno	10–13	0.00	14%	22 May →
ancient	15–15	0.00	19%	21 May →
mirage	7–13	0.02	30%	17 May →
overpass	13–11	-0.01	15%	17 May →
cache	12–12	0.11	20%	17 May →
anubis	13–1	0.14	33%	17 May →
cache	12–12	0.10	17%	9 May →
mirage	7–13	0.09	37%	8 May →
anubis	8–13	0.01	13%	8 May →
overpass	13–10	0.07	15%	4 May →
nuke	8–13	0.08	24%	4 May →
anubis	6–13	0.04	25%	3 May →
mirage	13–11	0.09	21%	2 May →
nuke	2–13	-0.07	21%	2 May →
dust2	14–16	0.03	31%	2 May →
cache	7–13	0.06	22%	28 Apr →
dust2	10–13	0.08	38%	24 Apr →
ancient	15–15	0.09	29%	24 Apr →
ancient	1–13	-0.03	23%	14 Apr →
poseidon	5–9	0.01	23%	7 Apr →
sanctum	9–5	0.01	29%	7 Apr →
inferno	4–9	-0.05	38%	7 Apr →
inferno	11–13	-0.02	22%	4 Apr →
anubis	13–9	0.08	13%	2 Apr →