AugmentedMonkey — CS2 Stats

76561198017630123[U:1:57364395]

700Tracked matches72%Win rate2020Tracked since

CSDB Rating7.0 StrongHybrid Rifler

Premier CS Rating22,560Top 50% of 819 CSDB-tracked playersPink band · top ~5.7% of ranked players (population est.)

CSDB Leaderboard#4464 of 14933 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

WingmanGold Nova III

Ladder ranks via Leetify

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Performance scores

Aim88

Positioning40

Utility70

0–100 skill scores via Leetify.

Recent form

STEADY59–37–4Last 10059%Win rateLLWWLWWWTL

Last 10 vs previous 10: -30pp win rate · +0.00 avg rating

Player DNA

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

Aim8.8

Aggression5.9

Utility7.0

Positioning4.0

Opening Duels1.4

Clutch3.2

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 Twistzz 92% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower positioning 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

Strengths

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 48 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 52% 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

Aim8.8

Positioning4.0

Utility7.0

Mechanics7.3

Opening Duels2.7

Win Impact10.0

Composite 7.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time538ms−117ms

first ⅓ avg 654ms → last ⅓ avg 538ms

Headshot accuracy22.4%−7.1%

first ⅓ avg 29.5% → last ⅓ avg 22.4%

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

0.17Best rating — mirage 13–0

13–0Biggest win — mirage

11Longest win streak

L2Current streak

4–5In matches decided by ≤2 rounds

10Overtime games

Map breakdown

infernoBest map · 70% over 23cacheWeakest map · 43% over 14

Map	Grade	Played	Record	Win rate	Avg rating
inferno	S	23	16–7	70%	0.00
dust2	A	21	12–9	57%	0.00
ancient	A	15	9–6	60%	-0.00
cache	C	14	6–8	43%	-0.01
anubis	S	9	6–3	67%	0.02
mirage	A	8	5–3	63%	0.03
nuke	B	8	4–4	50%	0.01
poseidon	—	1	1–0	100%	-0.04
train	—	1	0–1	0%	0.03

Across the last 100 tracked matches.

Faceit stats

Combat

213Matches

49%Win rate

0.91Avg K/D

70.4ADR

59%Headshot %

Clutches & streaks

36%1v1 clutch win

18%1v2 clutch win

7Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	56	54%	0.87	12.8
Mirage	41	54%	1.01	14.7
Ancient	30	43%	0.90	14.9
Inferno	27	41%	0.89	14.2
Anubis	26	35%	0.89	13.5
Nuke	19	53%	0.87	11.9
Train	14	71%	0.87	13.8

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.

23.4%Headshot accuracy

36.2%Accuracy (enemy spotted)

32.1%Spray accuracy

82.7%Counter-strafing

6.5°Preaim

519msReaction time

19.0%T opening success

51.9%CT opening success

0.62Enemies flashed / flash

5.9%Flash assists

16.02HE damage / grenade

9.30Flashes / 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 19.0085% — 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.

43% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
ancient	0–5	-0.12	0%	28 Aug →
inferno	9–13	-0.06	29%	28 Aug →
cache	13–6	0.01	16%	23 Aug →
dust2	13–4	0.07	21%	23 Aug →
inferno	10–13	0.02	18%	23 Aug →
inferno	13–7	0.03	13%	23 Aug →
cache	13–10	-0.03	20%	23 Aug →
ancient	13–10	-0.02	23%	23 Aug →
anubis	15–15	0.03	23%	23 Aug →
cache	5–13	-0.03	14%	23 Aug →
inferno	10–13	-0.05	22%	22 Aug →
dust2	13–6	-0.02	40%	22 Aug →
dust2	7–13	-0.06	27%	22 Aug →
anubis	13–3	-0.01	18%	22 Aug →
ancient	16–13	0.05	23%	21 Aug →
anubis	13–8	-0.00	15%	21 Aug →
ancient	16–13	0.01	37%	21 Aug →
inferno	13–6	-0.00	13%	21 Aug →
dust2	13–8	0.01	30%	21 Aug →
inferno	13–10	-0.01	18%	16 Aug →
inferno	13–2	0.14	33%	16 Aug →
dust2	13–9	0.09	17%	16 Aug →
mirage	13–4	0.05	17%	16 Aug →
anubis	13–5	0.12	23%	16 Aug →
anubis	10–13	0.05	16%	16 Aug →
dust2	12–16	0.03	25%	16 Aug →
inferno	13–7	0.04	20%	16 Aug →
ancient	13–5	0.10	39%	16 Aug →
inferno	2–9	0.03	25%	16 Aug →
cache	13–5	0.08	50%	15 Aug →
inferno	13–10	0.06	26%	15 Aug →
dust2	13–6	0.05	22%	15 Aug →
ancient	9–13	-0.05	8%	15 Aug →
nuke	15–15	0.08	19%	14 Aug →
cache	13–6	0.04	25%	14 Aug →
ancient	13–6	0.03	16%	14 Aug →
mirage	10–13	-0.06	14%	14 Aug →
dust2	13–4	0.02	30%	14 Aug →
inferno	8–13	0.01	24%	14 Aug →
nuke	9–5	0.01	9%	14 Aug →
inferno	9–6	-0.04	23%	14 Aug →
poseidon	9–4	-0.04	12%	14 Aug →
ancient	6–13	-0.02	30%	14 Aug →
dust2	13–5	0.04	29%	14 Aug →
cache	4–13	-0.02	21%	14 Aug →
anubis	1–13	-0.08	17%	13 Aug →
dust2	6–13	-0.04	15%	13 Aug →
inferno	16–12	-0.02	16%	13 Aug →
nuke	11–13	-0.05	22%	13 Aug →
ancient	13–11	-0.02	17%	12 Aug →
ancient	13–5	-0.00	21%	12 Aug →
nuke	13–8	0.01	29%	12 Aug →
mirage	4–13	-0.03	23%	11 Aug →
cache	10–13	-0.06	25%	11 Aug →
cache	9–13	-0.00	32%	11 Aug →
inferno	13–5	0.05	25%	10 Aug →
ancient	11–13	-0.03	18%	10 Aug →
nuke	11–13	0.03	24%	10 Aug →
dust2	1–13	-0.06	21%	10 Aug →
cache	5–13	-0.09	38%	9 Aug →
mirage	13–8	0.03	17%	8 Aug →
nuke	9–13	0.01	19%	7 Aug →
cache	13–4	0.01	20%	7 Aug →
dust2	9–13	-0.03	22%	7 Aug →
dust2	13–11	0.02	29%	6 Aug →
dust2	14–16	-0.04	21%	2 Aug →
cache	15–15	0.03	29%	2 Aug →
inferno	13–3	-0.07	60%	29 Jul →
mirage	13–0	0.17	49%	29 Jul →
ancient	13–1	0.12	34%	29 Jul →
ancient	13–1	0.05	21%	29 Jul →
dust2	13–4	0.02	21%	29 Jul →
ancient	0–13	-0.06	43%	27 Jul →
inferno	13–1	0.03	22%	27 Jul →
inferno	11–13	-0.02	28%	27 Jul →
inferno	13–2	0.03	24%	27 Jul →
inferno	13–7	-0.00	19%	27 Jul →
cache	4–13	-0.07	32%	23 Jul →
cache	9–13	-0.02	32%	23 Jul →
dust2	10–13	-0.00	28%	20 Jul →
mirage	13–10	0.06	24%	20 Jul →
dust2	13–16	0.01	25%	20 Jul →
cache	13–2	0.02	32%	20 Jul →
dust2	13–6	0.01	26%	19 Jul →
mirage	9–13	0.00	29%	19 Jul →
inferno	13–11	-0.05	25%	19 Jul →
anubis	13–5	0.08	38%	19 Jul →
mirage	13–3	-0.00	42%	19 Jul →
ancient	7–13	-0.07	33%	19 Jul →
train	12–12	0.03	32%	28 Jun →
inferno	13–8	0.03	39%	24 Jun →
anubis	13–10	0.06	36%	24 Jun →
inferno	7–13	-0.04	21%	24 Jun →
dust2	7–13	-0.03	22%	21 Jun →
dust2	13–7	0.03	39%	21 Jun →
anubis	13–11	-0.05	34%	21 Jun →
nuke	13–9	-0.00	11%	21 Jun →
nuke	16–12	-0.03	14%	21 Jun →
inferno	13–9	-0.02	20%	21 Jun →
dust2	13–6	-0.01	16%	20 Jun →