N I C O Y — CS2 Stats

76561199543705694[U:1:1583439966]

514Tracked matches64%Win rate2024Tracked since

CSDB Rating6.7 SolidAggressive Rifler

WingmanGold Nova II

Ladder ranks via Leetify

Performance scores

Aim75

Positioning52

Utility57

0–100 skill scores via Leetify.

Recent form

HOT50–48–2Last 10050%Win rateLWWWWLWWWW

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

Player DNA

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

Aim7.5

Aggression7.4

Utility5.7

Positioning5.2

Opening Duels3.4

Strong 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 91% 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

T-side openings. Opening success drops from 51% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 597ms 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

Aim7.5

Positioning5.2

Utility5.7

Mechanics8.1

Opening Duels3.4

Win Impact9.8

Composite 6.7/10 (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 0.03 → last ⅓ avg 0.01

Reaction time589ms−22ms

first ⅓ avg 612ms → last ⅓ avg 589ms

Headshot accuracy20.9%−0.2%

first ⅓ avg 21.1% → last ⅓ avg 20.9%

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 — mirage 13–6

13–1Biggest win — nuke

9Longest win streak

9–7In matches decided by ≤2 rounds

7Overtime games

Map breakdown

anubisBest map · 80% over 5infernoWeakest map · 38% over 16

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	33	15–18	45%	0.02
dust2	B	19	9–10	47%	0.02
inferno	C	16	6–10	38%	0.01
ancient	A	11	7–4	64%	0.04
nuke	S	7	5–2	71%	0.01
anubis	S	5	4–1	80%	0.06
cache	—	4	2–2	50%	0.01
overpass	—	3	2–1	67%	-0.00
vertigo	—	2	0–2	0%	0.09

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 16). 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.

21.4%Headshot accuracy

33.3%Accuracy (enemy spotted)

34.0%Spray accuracy

86.6%Counter-strafing

9.3°Preaim

597msReaction time

36.0%T opening success

51.5%CT opening success

0.52Enemies flashed / flash

5.9%Flash assists

9.20HE damage / grenade

11.53Flashes / 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 36.0343% — 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.

38% win rate across 16 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
inferno	9–13	-0.01	30%	28 Aug →
ancient	16–12	0.00	20%	27 Aug →
dust2	13–10	0.00	20%	26 Aug →
nuke	13–1	0.04	38%	25 Aug →
anubis	13–2	0.09	13%	25 Aug →
dust2	4–13	0.01	20%	23 Aug →
mirage	13–5	0.02	18%	23 Aug →
anubis	13–8	0.02	9%	22 Aug →
overpass	13–9	-0.00	23%	21 Aug →
nuke	13–6	-0.02	18%	21 Aug →
inferno	13–9	-0.02	10%	21 Aug →
mirage	13–11	0.01	25%	20 Aug →
nuke	13–10	0.01	14%	19 Aug →
ancient	13–8	0.04	18%	15 Aug →
mirage	13–11	0.09	23%	12 Aug →
mirage	3–13	-0.02	26%	12 Aug →
dust2	13–8	0.09	23%	12 Aug →
dust2	6–13	-0.02	36%	5 Aug →
cache	8–13	0.00	12%	1 Aug →
vertigo	3–13	0.10	32%	29 Jul →
vertigo	11–13	0.07	32%	29 Jul →
inferno	12–12	-0.07	19%	25 Jul →
inferno	4–13	0.01	24%	23 Jul →
mirage	12–12	0.05	18%	16 Jul →
inferno	13–4	-0.03	18%	16 Jul →
mirage	7–13	0.01	21%	15 Jul →
mirage	13–8	0.00	24%	15 Jul →
cache	5–13	-0.05	23%	5 Jul →
nuke	13–11	-0.02	23%	1 Jul →
mirage	13–9	0.07	21%	1 Jul →
cache	13–4	0.06	8%	24 Jun →
nuke	9–13	-0.03	17%	20 Jun →
mirage	11–13	-0.03	17%	20 Jun →
dust2	9–13	-0.06	15%	20 Jun →
anubis	10–13	0.03	24%	19 Jun →
overpass	13–11	0.03	21%	18 Jun →
nuke	13–10	0.06	33%	17 Jun →
dust2	6–13	-0.06	37%	16 Jun →
nuke	5–13	0.06	20%	13 Jun →
dust2	13–5	0.03	15%	11 Jun →
mirage	1–13	-0.05	26%	29 May →
ancient	10–13	0.00	14%	29 May →
mirage	11–13	0.03	28%	28 May →
mirage	17–19	0.04	27%	28 May →
ancient	16–14	0.00	16%	27 May →
cache	13–4	0.03	47%	27 May →
mirage	13–8	0.06	17%	27 May →
mirage	13–4	0.09	23%	27 May →
dust2	4–13	0.07	16%	27 May →
inferno	13–7	0.10	19%	27 May →
anubis	13–8	0.07	25%	27 May →
mirage	11–13	0.02	11%	26 May →
dust2	13–9	0.07	12%	26 May →
mirage	3–13	-0.06	19%	25 May →
inferno	13–9	0.08	11%	24 May →
mirage	13–6	0.03	19%	24 May →
anubis	7–0	0.08	18%	23 May →
inferno	8–13	-0.02	17%	23 May →
mirage	11–13	0.04	23%	23 May →
mirage	3–13	-0.02	21%	23 May →
dust2	5–13	-0.07	13%	23 May →
dust2	8–13	-0.02	15%	23 May →
mirage	13–11	-0.01	14%	23 May →
mirage	6–13	0.09	13%	23 May →
dust2	10–13	0.08	13%	23 May →
mirage	16–12	0.07	14%	23 May →
inferno	2–13	-0.05	10%	23 May →
mirage	13–11	0.03	21%	23 May →
mirage	2–13	-0.07	19%	22 May →
ancient	7–13	-0.02	22%	22 May →
mirage	3–7	-0.01	27%	22 May →
dust2	13–2	0.02	42%	22 May →
mirage	13–4	0.06	13%	21 May →
dust2	9–13	-0.01	10%	21 May →
mirage	16–12	0.11	23%	21 May →
dust2	13–11	0.08	20%	21 May →
inferno	10–13	0.01	13%	21 May →
mirage	13–10	-0.01	28%	20 May →
inferno	8–13	0.02	17%	20 May →
dust2	13–16	-0.03	16%	20 May →
ancient	16–13	0.07	15%	20 May →
mirage	9–13	0.11	29%	20 May →
ancient	8–13	0.07	24%	20 May →
mirage	9–13	-0.04	14%	18 May →
dust2	13–6	0.03	27%	18 May →
mirage	4–13	0.03	28%	18 May →
inferno	5–13	0.01	13%	18 May →
inferno	13–9	0.03	11%	17 May →
overpass	7–13	-0.04	42%	17 May →
ancient	13–8	0.07	16%	17 May →
mirage	11–13	-0.07	20%	16 May →
dust2	13–10	0.08	21%	16 May →
ancient	8–13	0.09	30%	16 May →
mirage	13–6	0.14	17%	16 May →
inferno	0–13	-0.03	11%	16 May →
ancient	13–9	0.01	17%	16 May →
inferno	13–6	0.04	24%	16 May →
dust2	13–11	0.04	17%	16 May →
ancient	13–7	0.05	20%	16 May →
inferno	8–13	0.04	30%	16 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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