NoC — CS2 Stats

76561199114807489[U:1:1154541761]

579Tracked matches60%Win rate2023Tracked since

CSDB Rating6.3 SolidHybrid Rifler

Ladder ranks via Leetify

Performance scores

Aim74

Positioning52

Utility55

0–100 skill scores via Leetify.

Recent form

STEADY49–46–5Last 10049%Win rateWWWWLLLWLW

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

Player DNA

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

Aim7.4

Aggression6.4

Utility5.5

Positioning5.2

Opening Duels2.7

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 NiKo 90% playstyle similarity

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

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. 646ms 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

Aim7.4

Positioning5.2

Utility5.5

Mechanics7.5

Opening Duels2.7

Win Impact8.3

Composite 6.3/10 (Solid), 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 rating0.01−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time655ms−12ms

first ⅓ avg 666ms → last ⅓ avg 655ms

Headshot accuracy26.3%−1.5%

first ⅓ avg 27.8% → last ⅓ avg 26.3%

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

0.21Best rating — dust2 13–2

13–0Biggest win — anubis

5Longest win streak

W4Current streak

4–7In matches decided by ≤2 rounds

7Overtime games

Map breakdown

anubisBest map · 63% over 8infernoWeakest map · 33% over 12

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	43	22–21	51%	0.02
ancient	B	14	7–7	50%	0.01
inferno	D	12	4–8	33%	0.01
anubis	A	8	5–3	63%	0.01
overpass	C	7	3–4	43%	0.05
nuke	D	6	2–4	33%	-0.01
mirage	—	4	2–2	50%	0.01
cache	—	3	2–1	67%	0.02
train	—	2	2–0	100%	0.01
vertigo	—	1	0–1	0%	0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

27.2%Headshot accuracy

33.5%Accuracy (enemy spotted)

28.3%Spray accuracy

83.8%Counter-strafing

8.7°Preaim

646msReaction time

33.5%T opening success

47.7%CT opening success

0.59Enemies flashed / flash

6.6%Flash assists

9.35HE damage / grenade

6.90Flashes / 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 33.4878% — below the 40% mark we flag

Spend your practice time on Inferno

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

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	16–14	-0.01	19%	2 Aug →
anubis	13–6	0.07	27%	1 Aug →
dust2	13–7	0.08	16%	1 Aug →
dust2	13–5	-0.01	18%	1 Aug →
ancient	4–13	-0.07	24%	1 Aug →
ancient	7–13	-0.06	23%	10 Jul →
inferno	3–13	-0.07	22%	10 Jul →
cache	13–1	0.07	36%	10 Jul →
cache	10–13	-0.02	26%	24 Jun →
dust2	13–4	0.03	25%	22 Jun →
ancient	13–9	0.06	27%	22 Jun →
dust2	7–13	-0.02	13%	22 Jun →
dust2	7–13	-0.06	29%	17 Jun →
ancient	13–3	0.07	37%	17 Jun →
anubis	13–0	0.04	35%	17 Jun →
ancient	13–4	0.10	21%	17 Jun →
cache	13–10	-0.00	27%	29 May →
dust2	13–8	0.06	35%	21 May →
dust2	11–13	0.09	33%	21 May →
dust2	13–7	-0.05	14%	13 May →
dust2	5–13	-0.03	27%	13 May →
inferno	11–13	0.02	39%	5 May →
dust2	13–7	0.01	17%	5 May →
dust2	8–13	-0.11	15%	18 Apr →
dust2	13–7	-0.02	16%	18 Apr →
dust2	4–13	-0.00	41%	18 Apr →
inferno	13–5	0.06	44%	25 Nov →
dust2	13–11	0.03	35%	29 Oct →
mirage	10–13	0.07	41%	27 Oct →
dust2	13–4	0.01	39%	27 Oct →
ancient	9–13	0.04	8%	23 Oct →
overpass	5–13	-0.06	17%	21 Oct →
dust2	9–13	-0.03	22%	11 Oct →
vertigo	10–13	0.02	23%	10 Oct →
dust2	15–15	-0.04	28%	24 Sept →
inferno	9–13	0.00	30%	24 Sept →
dust2	12–12	0.00	21%	24 Sept →
mirage	3–13	-0.08	38%	22 Sept →
dust2	13–2	-0.03	31%	15 Sept →
train	13–10	-0.03	31%	15 Sept →
nuke	13–1	0.12	36%	2 Aug →
dust2	9–13	-0.05	14%	2 Aug →
nuke	13–8	0.00	25%	30 Jul →
dust2	13–9	0.10	34%	30 Jul →
train	13–0	0.05	23%	29 Jul →
dust2	14–16	-0.00	31%	29 Jul →
overpass	13–11	0.01	13%	29 Jul →
ancient	8–1	0.02	13%	29 Jul →
dust2	13–9	0.04	25%	27 Jul →
inferno	13–6	0.08	33%	27 Jul →
dust2	11–13	0.03	27%	27 Jul →
nuke	6–13	-0.07	29%	27 Jul →
ancient	8–13	0.01	18%	27 Jul →
ancient	3–13	-0.03	42%	27 Jul →
dust2	13–5	0.11	28%	27 Jul →
overpass	13–4	0.13	19%	27 Jul →
dust2	3–13	-0.03	19%	23 Jul →
inferno	11–13	0.04	25%	23 Jul →
dust2	13–11	0.01	34%	22 Jul →
nuke	4–13	-0.01	36%	22 Jul →
overpass	13–3	0.12	15%	21 Jul →
overpass	10–13	0.02	13%	20 Jul →
ancient	13–7	-0.02	24%	19 Jul →
inferno	14–16	-0.03	20%	19 Jul →
anubis	13–9	0.03	12%	18 Jul →
overpass	8–13	0.04	30%	18 Jul →
dust2	3–13	0.04	40%	18 Jul →
dust2	13–8	0.02	27%	17 Jul →
dust2	13–2	0.06	25%	17 Jul →
anubis	16–13	0.01	21%	8 Jul →
inferno	15–15	0.00	25%	8 Jul →
anubis	13–10	-0.04	10%	8 Jul →
mirage	13–9	0.03	31%	7 Jul →
dust2	2–13	-0.00	21%	6 Jul →
dust2	0–13	-0.03	100%	6 Jul →
nuke	3–13	-0.07	16%	6 Jul →
anubis	8–13	-0.04	23%	6 Jul →
ancient	1–13	-0.06	7%	6 Jul →
dust2	11–13	0.03	32%	6 Jul →
ancient	9–13	0.03	31%	6 Jul →
dust2	8–13	-0.01	26%	6 Jul →
anubis	1–13	-0.04	28%	6 Jul →
inferno	13–10	0.04	29%	6 Jul →
dust2	9–13	-0.04	14%	18 Jun →
inferno	10–13	-0.02	13%	18 Jun →
anubis	6–13	0.06	30%	17 Jun →
ancient	13–5	0.02	35%	17 Jun →
dust2	4–13	-0.01	32%	17 Jun →
mirage	13–9	0.04	25%	29 May →
inferno	13–2	0.01	28%	29 May →
nuke	5–13	-0.02	17%	28 May →
dust2	13–10	0.06	30%	28 May →
inferno	9–13	0.00	18%	28 May →
overpass	12–12	0.08	33%	28 May →
dust2	13–10	0.08	29%	27 May →
dust2	13–2	0.21	39%	27 May →
dust2	13–5	0.05	24%	27 May →
dust2	15–15	0.08	28%	26 May →
dust2	13–10	0.09	39%	24 May →
dust2	13–7	0.02	29%	24 May →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

500 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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