Cheesy_Nugs — CS2 Stats

76561198148743417[U:1:188477689]

2,475Tracked matches67%Win rate2020Tracked since

CSDB Rating5.9 SolidHybrid Rifler

Premier CS Rating24,413Top 50% of 819 CSDB-tracked playersPink band · top ~3.6% of ranked players (population est.)

CSDB Leaderboard#3603 of 19824 tracked

FaceitLevel 7 · 1,648 ELOTop 42.3% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim67

Positioning47

Utility66

0–100 skill scores via Leetify.

Recent form

HOT53–42–5Last 10053%Win rateWLWWLWWWWL

Last 10 vs previous 10: +20pp win rate · -0.01 avg rating

Player DNA

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

Aim6.7

Aggression5.9

Utility6.6

Positioning4.7

Opening Duels2.1

Clutch3.0

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 90% 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

Reaction time. 570ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim6.7

Positioning4.7

Utility6.6

Mechanics4.5

Opening Duels2.1

Win Impact10.0

Composite 5.9/10 (Solid), 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 rating-0.01−0.02

first ⅓ avg 0.01 → last ⅓ avg -0.01

Reaction time565ms−67ms

first ⅓ avg 632ms → last ⅓ avg 565ms

Headshot accuracy13.0%−0.4%

first ⅓ avg 13.3% → last ⅓ avg 13.0%

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

0.26Best rating — vertigo 9–3

13–1Biggest win — mirage

7Longest win streak

15–11In matches decided by ≤2 rounds

13Overtime games

Map breakdown

mirageBest map · 79% over 19anubisWeakest map · 40% over 10

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	22	12–10	55%	-0.03
mirage	S	19	15–4	79%	0.01
ancient	A	17	10–7	59%	0.03
cache	B	11	5–6	45%	0.01
anubis	C	10	4–6	40%	-0.00
nuke	C	9	4–5	44%	0.00
vertigo	—	4	1–3	25%	0.10
inferno	—	2	1–1	50%	-0.01
eldorado	—	1	1–0	100%	0.16
poseidon	—	1	0–1	0%	-0.05
debris	—	1	0–1	0%	0.03
office	—	1	0–1	0%	0.04
fachwerk	—	1	0–1	0%	-0.02
shelter	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,297Matches

50%Win rate

1.04Avg K/D

80.0ADR

40%Headshot %

Clutches & streaks

35%1v1 clutch win

18%1v2 clutch win

11Longest win streak

Recent Faceit resultsLWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	255	50%	1.03	15.2
Mirage	244	45%	1.02	15.9
Ancient	196	54%	1.07	16.5
Anubis	162	54%	1.06	16.4
Nuke	122	52%	1.12	16.6
Inferno	118	44%	0.99	15.2
Train	67	57%	1.12	15.4
Overpass	52	42%	1.03	15.5

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.

13.3%Headshot accuracy

37.0%Accuracy (enemy spotted)

42.1%Spray accuracy

70.2%Counter-strafing

9.3°Preaim

570msReaction time

34.7%T opening success

42.4%CT opening success

0.66Enemies flashed / flash

6.5%Flash assists

8.89HE damage / grenade

10.23Flashes / 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 13.3138% — below the 15% mark we flag
Aim Training →
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 34.7231% — below the 40% mark we flag

Spend your practice time on Anubis

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

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–9	0.02	16%	29 Aug →
dust2	4–13	-0.11	14%	28 Aug →
dust2	13–9	-0.03	21%	26 Aug →
ancient	13–4	0.12	16%	25 Aug →
nuke	10–13	-0.02	15%	24 Aug →
mirage	13–7	-0.01	20%	24 Aug →
mirage	13–8	-0.04	13%	24 Aug →
dust2	13–11	-0.03	12%	24 Aug →
dust2	13–9	-0.03	6%	21 Aug →
ancient	8–13	-0.05	17%	21 Aug →
mirage	13–11	-0.02	4%	20 Aug →
anubis	1–12	-0.05	4%	20 Aug →
dust2	9–13	-0.06	9%	20 Aug →
nuke	4–13	-0.01	7%	20 Aug →
anubis	8–13	0.01	16%	19 Aug →
anubis	13–11	0.05	14%	19 Aug →
dust2	8–13	-0.06	14%	18 Aug →
mirage	13–10	0.02	10%	17 Aug →
anubis	13–5	-0.03	15%	17 Aug →
mirage	13–4	0.06	14%	17 Aug →
cache	11–13	-0.00	14%	17 Aug →
mirage	13–11	0.04	14%	17 Aug →
dust2	13–11	-0.05	18%	13 Aug →
mirage	13–9	0.05	12%	13 Aug →
cache	13–5	0.00	8%	13 Aug →
mirage	13–7	0.11	17%	11 Aug →
nuke	13–8	-0.02	28%	7 Aug →
mirage	13–3	0.01	7%	6 Aug →
dust2	7–13	-0.01	14%	4 Aug →
ancient	13–4	0.03	9%	4 Aug →
dust2	13–6	-0.02	13%	3 Aug →
mirage	9–13	-0.05	7%	3 Aug →
nuke	10–13	0.02	14%	2 Aug →
inferno	10–13	-0.04	3%	2 Aug →
cache	12–12	-0.03	14%	2 Aug →
mirage	8–13	-0.04	9%	2 Aug →
ancient	13–5	0.02	12%	1 Aug →
vertigo	8–13	0.06	8%	1 Aug →
inferno	13–11	0.01	15%	1 Aug →
dust2	19–16	-0.04	11%	31 Jul →
dust2	13–10	-0.06	9%	31 Jul →
ancient	13–6	0.02	11%	31 Jul →
vertigo	3–13	0.19	16%	31 Jul →
ancient	12–12	0.00	16%	31 Jul →
vertigo	9–3	0.26	21%	31 Jul →
cache	16–14	0.01	18%	31 Jul →
dust2	13–10	-0.05	9%	30 Jul →
cache	13–7	0.07	21%	30 Jul →
dust2	16–14	0.00	19%	30 Jul →
ancient	13–5	0.08	15%	28 Jul →
cache	11–13	-0.02	18%	28 Jul →
eldorado	9–7	0.16	19%	28 Jul →
poseidon	3–9	-0.05	35%	28 Jul →
vertigo	4–9	-0.11	13%	28 Jul →
mirage	16–12	0.04	10%	26 Jul →
cache	11–13	-0.03	18%	26 Jul →
anubis	16–13	0.04	9%	26 Jul →
anubis	11–13	0.06	14%	26 Jul →
anubis	10–13	-0.04	18%	25 Jul →
dust2	11–13	-0.01	7%	25 Jul →
dust2	13–6	0.03	16%	25 Jul →
nuke	13–9	-0.06	15%	25 Jul →
dust2	10–13	0.04	9%	24 Jul →
dust2	13–11	-0.02	14%	24 Jul →
dust2	16–12	-0.06	16%	23 Jul →
ancient	7–13	0.00	22%	23 Jul →
debris	8–8	0.03	8%	23 Jul →
nuke	9–5	0.20	6%	23 Jul →
cache	15–15	0.08	16%	22 Jul →
office	10–13	0.04	14%	21 Jul →
ancient	12–12	-0.02	9%	21 Jul →
fachwerk	11–13	-0.02	11%	21 Jul →
cache	13–10	-0.00	9%	21 Jul →
anubis	9–13	-0.00	13%	21 Jul →
mirage	13–1	0.08	15%	20 Jul →
dust2	13–16	-0.05	13%	20 Jul →
cache	16–14	0.01	20%	20 Jul →
nuke	3–13	-0.06	15%	19 Jul →
cache	8–13	0.02	12%	19 Jul →
mirage	16–13	0.02	14%	14 Jul →
ancient	13–6	0.08	16%	13 Jul →
shelter	9–13	0.01	13%	10 Jul →
ancient	13–5	0.14	10%	10 Jul →
mirage	6–13	0.06	15%	10 Jul →
ancient	11–13	-0.05	13%	8 Jul →
mirage	11–13	-0.06	7%	3 Jul →
dust2	8–13	-0.07	15%	25 Jun →
nuke	3–13	-0.04	13%	25 Jun →
dust2	14–16	-0.03	11%	24 Jun →
mirage	13–9	0.04	21%	24 Jun →
ancient	13–16	-0.06	15%	23 Jun →
nuke	13–11	0.02	9%	23 Jun →
ancient	11–13	-0.00	15%	17 Jun →
dust2	11–13	-0.03	30%	12 Jun →
anubis	13–11	-0.07	8%	12 Jun →
anubis	8–13	0.01	9%	10 Jun →
ancient	13–11	-0.02	8%	9 Jun →
mirage	16–13	0.01	15%	7 Jun →
mirage	13–11	-0.06	8%	5 Jun →
ancient	5–0	0.15	21%	5 Jun →