n00byd00byd00 — CS2 Stats

76561197984078730[U:1:23813002]

2,567Tracked matches57%Win rate2021Tracked since

CSDB Rating7.0 StrongAggressive Rifler

Premier CS Rating14,165Blue band · top ~32.8% of ranked players (population est.)

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

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Performance scores

Aim89

Positioning63

Utility66

0–100 skill scores via Leetify.

Recent form

STEADY47–49–4Last 10047%Win rateLWLWWLLWLW

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

Player DNA

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

Aim8.9

Aggression10.0

Utility6.6

Positioning6.3

Opening Duels5.5

Clutch4.0

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 device 95% playstyle similarity

Most alike: utility contribution, 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 89 — the mechanical foundation is a clear strength.

CT openings. 64% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 64% on CT to 40% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 561ms 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

Aim8.9

Positioning6.3

Utility6.6

Mechanics8.2

Opening Duels5.5

Win Impact7.2

Composite 7.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.02

first ⅓ avg -0.00 → last ⅓ avg 0.01

Reaction time561ms−12ms

first ⅓ avg 573ms → last ⅓ avg 561ms

Headshot accuracy22.7%+1.1%

first ⅓ avg 21.6% → last ⅓ avg 22.7%

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

0.14Best rating — inferno 13–2

13–2Biggest win — inferno

3Longest win streak

10–9In matches decided by ≤2 rounds

15Overtime games

Map breakdown

infernoBest map · 57% over 28ancientWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	28	16–12	57%	0.01
nuke	C	22	9–13	41%	-0.01
cache	B	16	8–8	50%	-0.00
dust2	C	11	4–7	36%	0.01
anubis	A	11	6–5	55%	0.01
ancient	D	9	3–6	33%	-0.00
mirage	—	1	0–1	0%	0.02
overpass	—	1	0–1	0%	0.04
boulder	—	1	1–0	100%	0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

213Matches

57%Win rate

1.32Avg K/D

87.5ADR

44%Headshot %

Clutches & streaks

40%1v1 clutch win

32%1v2 clutch win

14Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	43	60%	1.40	17.2
Vertigo	36	78%	1.44	16.1
Dust2	31	42%	1.32	17.2
Nuke	22	82%	1.48	17.8
Ancient	10	70%	1.25	15.1
Train	7	57%	1.04	14.1
Anubis	5	20%	0.86	16.6
Overpass	4	25%	1.11	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.

22.7%Headshot accuracy

38.0%Accuracy (enemy spotted)

41.5%Spray accuracy

86.8%Counter-strafing

8.2°Preaim

561msReaction time

39.7%T opening success

64.2%CT opening success

0.54Enemies flashed / flash

7.6%Flash assists

9.28HE damage / grenade

11.43Flashes / 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 39.6724% — below the 40% mark we flag

Spend your practice time on Ancient

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	4–13	-0.02	11%	29 Aug →
nuke	13–7	0.03	13%	29 Aug →
cache	7–13	-0.03	32%	29 Aug →
dust2	16–12	0.04	20%	29 Aug →
ancient	13–9	0.01	14%	26 Aug →
inferno	11–13	0.03	18%	24 Aug →
anubis	10–13	-0.02	29%	24 Aug →
inferno	13–7	0.06	23%	24 Aug →
nuke	8–13	-0.01	17%	23 Aug →
cache	13–11	0.05	11%	23 Aug →
inferno	8–8	0.07	11%	23 Aug →
inferno	13–7	0.04	17%	23 Aug →
anubis	16–14	0.05	24%	22 Aug →
nuke	13–6	-0.06	25%	21 Aug →
dust2	5–13	-0.04	33%	21 Aug →
dust2	3–13	-0.02	60%	21 Aug →
nuke	13–6	-0.01	26%	20 Aug →
anubis	13–4	0.08	20%	20 Aug →
inferno	3–13	-0.05	29%	20 Aug →
cache	13–11	0.04	27%	20 Aug →
ancient	3–13	-0.02	21%	20 Aug →
nuke	13–7	0.01	17%	20 Aug →
dust2	8–13	-0.04	21%	20 Aug →
anubis	13–16	0.04	24%	20 Aug →
ancient	13–7	0.00	29%	19 Aug →
inferno	13–4	0.07	31%	19 Aug →
ancient	14–16	-0.03	25%	18 Aug →
inferno	7–13	0.05	18%	18 Aug →
anubis	13–10	-0.04	16%	18 Aug →
inferno	13–11	-0.01	24%	17 Aug →
inferno	13–10	-0.04	19%	17 Aug →
dust2	13–16	0.03	20%	17 Aug →
ancient	13–7	0.13	25%	17 Aug →
ancient	10–13	0.02	16%	16 Aug →
nuke	2–13	-0.00	21%	16 Aug →
anubis	5–13	-0.06	31%	16 Aug →
cache	13–4	0.09	38%	16 Aug →
cache	16–14	-0.02	29%	15 Aug →
nuke	13–6	0.01	24%	14 Aug →
dust2	13–16	0.01	19%	14 Aug →
dust2	5–13	-0.03	24%	14 Aug →
inferno	5–13	-0.05	28%	14 Aug →
dust2	13–10	-0.01	26%	14 Aug →
inferno	9–13	0.01	20%	14 Aug →
anubis	13–7	0.03	18%	13 Aug →
inferno	11–13	-0.03	24%	13 Aug →
nuke	6–13	-0.05	27%	13 Aug →
nuke	13–6	-0.04	19%	13 Aug →
cache	11–13	-0.03	21%	12 Aug →
anubis	6–13	-0.06	36%	12 Aug →
inferno	13–10	0.03	29%	12 Aug →
cache	8–13	-0.03	27%	12 Aug →
inferno	16–14	-0.05	30%	12 Aug →
nuke	16–12	0.08	26%	10 Aug →
anubis	10–13	-0.01	28%	10 Aug →
nuke	13–6	0.00	23%	10 Aug →
anubis	13–5	0.09	15%	10 Aug →
inferno	13–2	0.14	19%	10 Aug →
nuke	11–13	-0.07	25%	10 Aug →
mirage	15–15	0.02	21%	10 Aug →
dust2	13–11	0.08	17%	9 Aug →
ancient	5–13	-0.10	24%	9 Aug →
inferno	13–8	0.02	9%	9 Aug →
inferno	12–16	-0.02	16%	9 Aug →
inferno	9–2	0.07	35%	9 Aug →
cache	10–13	-0.02	26%	7 Aug →
nuke	3–13	-0.06	23%	7 Aug →
nuke	3–13	-0.05	14%	7 Aug →
cache	13–11	0.01	14%	7 Aug →
nuke	6–13	0.02	13%	6 Aug →
anubis	13–4	0.03	12%	6 Aug →
inferno	4–1	-0.01	75%	6 Aug →
nuke	4–13	-0.05	33%	6 Aug →
cache	11–13	-0.02	29%	6 Aug →
inferno	8–13	-0.01	18%	5 Aug →
cache	13–6	0.06	19%	5 Aug →
nuke	11–13	0.01	25%	5 Aug →
inferno	16–13	-0.03	29%	5 Aug →
inferno	13–8	-0.02	17%	4 Aug →
ancient	9–13	-0.05	8%	4 Aug →
inferno	8–8	-0.06	29%	4 Aug →
inferno	9–5	0.07	33%	4 Aug →
overpass	5–9	0.04	11%	4 Aug →
cache	5–13	-0.07	16%	3 Aug →
cache	13–3	-0.03	32%	3 Aug →
inferno	11–13	-0.08	20%	3 Aug →
nuke	5–13	-0.05	14%	3 Aug →
boulder	13–9	0.04	18%	2 Aug →
nuke	3–13	-0.05	25%	2 Aug →
ancient	7–13	0.01	18%	2 Aug →
dust2	13–11	0.07	16%	31 Jul →
cache	5–13	-0.06	13%	31 Jul →
nuke	13–10	0.04	20%	31 Jul →
cache	16–13	0.01	21%	31 Jul →
cache	11–13	0.02	27%	31 Jul →
nuke	15–15	0.01	19%	31 Jul →
inferno	9–7	0.04	24%	29 Jul →
dust2	9–13	-0.02	9%	29 Jul →
inferno	16–13	0.03	23%	28 Jul →
nuke	4–13	0.01	18%	28 Jul →