DONKEYMONKEY — CS2 Stats

76561199572364456[U:1:1612098728]

2,897Tracked matches43%Win rate2023Tracked since

CSDB Rating6.7 SolidAggressive Rifler

Premier CS Rating25,341Top 25% of 819 CSDB-tracked playersRed band · top ~2.8% of ranked players (population est.)

CSDB Leaderboard#2305 of 17234 tracked

FaceitLevel 10 · 2,877 ELOTop 12.4% of ranked FACEIT players

WingmanThe Global Elite

Ladder ranks via Leetify

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Performance scores

Aim94

Positioning59

Utility52

0–100 skill scores via Leetify.

Recent form

STEADY42–56–2Last 10042%Win rateLLWLLLWLWW

Last 10 vs previous 10: +0pp win rate · +0.03 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim9.4

Aggression8.2

Utility5.2

Positioning5.9

Opening Duels3.7

Clutch3.6

Sharp aimerStrong 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 b1t 96% playstyle similarity

Most alike: aim profile, opening-duel success.

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

Strengths

Aim. Aim score of 94 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 35 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 53% on CT to 37% 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

Aim9.4

Positioning5.9

Utility5.2

Mechanics6.1

Opening Duels3.7

Win Impact2.8

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.01

first ⅓ avg 0.03 → last ⅓ avg 0.02

Reaction time469ms+9ms

first ⅓ avg 460ms → last ⅓ avg 469ms

Headshot accuracy23.6%+4.0%

first ⅓ avg 19.5% → last ⅓ avg 23.6%

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

0.20Best rating — vertigo 13–4

13–0Biggest win — anubis

4Longest win streak

L2Current streak

9–6In matches decided by ≤2 rounds

5Overtime games

Map breakdown

infernoBest map · 80% over 5dust2Weakest map · 29% over 21

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	27	11–16	41%	0.03
dust2	D	21	6–15	29%	0.01
ancient	C	14	6–8	43%	0.05
anubis	D	13	4–9	31%	0.03
nuke	S	10	7–3	70%	0.06
cache	B	6	3–3	50%	0.01
inferno	S	5	4–1	80%	0.02
vertigo	—	4	1–3	25%	0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 21). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

733Matches

55%Win rate

1.34Avg K/D

93.0ADR

47%Headshot %

Clutches & streaks

38%1v1 clutch win

24%1v2 clutch win

11Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	266	52%	1.29	18.5
Ancient	120	58%	1.33	18.4
Anubis	107	59%	1.51	20.2
Inferno	96	53%	1.49	20.1
Nuke	52	60%	1.22	18.3
Overpass	33	55%	1.32	17.9
Vertigo	31	55%	1.13	17.9
Dust2	22	36%	1.24	18.8

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.

23.6%Headshot accuracy

41.7%Accuracy (enemy spotted)

41.8%Spray accuracy

77.7%Counter-strafing

7.9°Preaim

444msReaction time

37.1%T opening success

52.6%CT opening success

0.51Enemies flashed / flash

10.8%Flash assists

6.40HE damage / grenade

8.54Flashes / 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.

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 37.1378% — below the 40% mark we flag

Spend your practice time on Dust 2

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 21 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	5–13	0.07	22%	28 Aug →
dust2	7–13	0.07	20%	28 Aug →
cache	13–9	0.06	25%	26 Aug →
dust2	0–3	-0.09	0%	25 Aug →
dust2	12–16	-0.02	37%	24 Aug →
mirage	10–13	0.15	32%	24 Aug →
cache	13–4	0.01	21%	24 Aug →
dust2	8–13	-0.08	26%	24 Aug →
anubis	13–5	0.07	18%	24 Aug →
mirage	13–4	-0.04	23%	22 Aug →
dust2	7–13	-0.05	19%	22 Aug →
cache	11–13	0.01	21%	16 Aug →
vertigo	6–9	0.02	29%	16 Aug →
vertigo	4–13	-0.20	33%	16 Aug →
anubis	10–13	-0.01	15%	16 Aug →
mirage	13–3	0.17	33%	16 Aug →
dust2	13–11	-0.03	14%	16 Aug →
anubis	4–13	-0.01	18%	16 Aug →
ancient	13–10	-0.01	21%	16 Aug →
cache	13–1	0.03	23%	15 Aug →
inferno	13–11	-0.00	42%	15 Aug →
ancient	6–13	-0.03	31%	15 Aug →
dust2	0–5	-0.01	50%	15 Aug →
mirage	11–13	0.05	26%	14 Aug →
inferno	13–7	0.12	27%	14 Aug →
nuke	13–10	0.18	21%	14 Aug →
inferno	5–13	-0.03	10%	14 Aug →
anubis	13–7	0.03	22%	13 Aug →
dust2	11–13	0.02	20%	13 Aug →
anubis	6–13	0.08	20%	13 Aug →
nuke	13–11	-0.02	21%	11 Aug →
nuke	16–13	0.08	17%	11 Aug →
mirage	7–13	-0.03	22%	11 Aug →
mirage	10–13	0.14	3%	11 Aug →
dust2	8–13	-0.01	13%	10 Aug →
mirage	13–11	-0.01	22%	10 Aug →
mirage	13–10	0.04	18%	10 Aug →
nuke	13–6	0.05	30%	10 Aug →
anubis	8–13	-0.01	19%	9 Aug →
dust2	13–4	-0.01	29%	9 Aug →
mirage	12–12	0.06	30%	9 Aug →
mirage	9–13	0.07	23%	9 Aug →
dust2	2–13	-0.07	37%	9 Aug →
nuke	13–9	0.10	23%	9 Aug →
ancient	10–13	0.10	26%	9 Aug →
ancient	13–6	0.12	15%	9 Aug →
dust2	13–10	0.14	29%	8 Aug →
mirage	16–14	0.01	12%	8 Aug →
anubis	4–13	-0.04	26%	8 Aug →
mirage	9–4	-0.01	7%	8 Aug →
nuke	10–13	-0.02	25%	8 Aug →
mirage	2–13	0.03	100%	8 Aug →
anubis	10–13	0.02	20%	7 Aug →
nuke	13–10	0.06	16%	7 Aug →
ancient	13–11	0.09	12%	7 Aug →
dust2	13–11	0.06	26%	7 Aug →
ancient	13–3	0.01	26%	7 Aug →
dust2	11–13	-0.02	33%	7 Aug →
nuke	13–9	0.14	31%	7 Aug →
mirage	9–13	-0.03	35%	7 Aug →
anubis	10–13	0.07	33%	7 Aug →
mirage	13–11	0.00	5%	6 Aug →
dust2	6–13	0.05	39%	6 Aug →
ancient	13–6	0.11	17%	6 Aug →
mirage	10–13	-0.08	17%	6 Aug →
vertigo	13–4	0.20	24%	6 Aug →
dust2	5–13	-0.00	24%	6 Aug →
anubis	13–0	0.00	0%	6 Aug →
mirage	8–13	0.11	31%	6 Aug →
mirage	16–13	0.07	22%	5 Aug →
anubis	13–6	0.14	32%	5 Aug →
ancient	13–6	0.02	13%	5 Aug →
nuke	2–13	0.06	38%	5 Aug →
mirage	11–13	-0.02	25%	5 Aug →
cache	0–13	-0.07	33%	5 Aug →
ancient	11–13	0.06	18%	5 Aug →
mirage	7–13	0.04	30%	5 Aug →
dust2	5–13	0.06	21%	27 Jul →
mirage	13–3	0.04	15%	27 Jul →
dust2	13–1	0.08	21%	27 Jul →
mirage	0–13	-0.17	22%	26 Jul →
mirage	5–1	-0.06	8%	26 Jul →
mirage	3–13	0.02	21%	26 Jul →
mirage	6–13	-0.06	17%	26 Jul →
ancient	0–13	-0.02	0%	26 Jul →
ancient	1–13	-0.02	14%	25 Jul →
anubis	0–4	0.00	0%	25 Jul →
mirage	4–13	0.07	27%	25 Jul →
mirage	9–0	0.19	24%	25 Jul →
ancient	5–13	0.03	21%	25 Jul →
anubis	3–13	0.09	18%	25 Jul →
ancient	5–13	0.16	14%	25 Jul →
dust2	13–5	0.01	14%	25 Jul →
vertigo	10–13	0.05	20%	25 Jul →
dust2	15–15	0.18	23%	25 Jul →
inferno	6–6	0.03	17%	25 Jul →
dust2	1–13	-0.04	22%	24 Jul →
nuke	0–13	-0.07	25%	24 Jul →
cache	4–13	-0.01	23%	24 Jul →
inferno	13–7	-0.01	17%	24 Jul →