nissan — CS2 Stats

76561198091172904[U:1:130907176]Steam profile ↗✓ No bans

1,728Tracked matches67%Win rate2020Tracked since

CSDB Rating7.6 StrongPassive Rifler

Premier CS Rating26,497Top 10% of 44,590 CSDB-tracked playersRed band · top ~2.3% of ranked players (population est.)

CSDB Leaderboard#3375 of 59511 tracked

FaceitLevel 8 · 1,551 ELOTop 31.2% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim93

Positioning55

Utility59

0–100 skill scores via Leetify.

Recent form

HOT75–22–3Last 10075%Win rateWLWWLWWWLW

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

Player DNA

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

Aim9.3

Aggression4.2

Utility5.9

Positioning5.5

Opening Duels0.0

Clutch3.6

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 NiKo 89% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower opening-duel success.

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 93 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 38 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 50% on CT to 9% 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

Aim9.3

Positioning5.5

Utility5.9

Mechanics8.2

Opening Duels2.4

Win Impact10.0

Composite 7.6/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.01

first ⅓ avg 0.03 → last ⅓ avg 0.02

Reaction time525ms−39ms

first ⅓ avg 564ms → last ⅓ avg 525ms

Headshot accuracy23.8%−3.3%

first ⅓ avg 27.1% → last ⅓ avg 23.8%

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

0.23Best rating — mirage 13–2

13–0Biggest win — inferno

12Longest win streak

5–4In matches decided by ≤2 rounds

Map breakdown

anubisBest map · 86% over 7ancientWeakest map · 60% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	36	26–10	72%	0.03
mirage	S	22	16–6	73%	0.04
inferno	S	17	14–3	82%	0.04
anubis	S	7	6–1	86%	0.04
ancient	A	5	3–2	60%	-0.01
cache	—	4	3–1	75%	0.05
train	—	3	2–1	67%	0.03
overpass	—	2	2–0	100%	0.03
nuke	—	1	0–1	0%	-0.06
shelter	—	1	1–0	100%	0.05
office	—	1	1–0	100%	0.03
italy	—	1	1–0	100%	0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (60% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

113Matches

72%Win rate

1.36Avg K/D

90.5ADR

42%Headshot %

Clutches & streaks

38%1v1 clutch win

42%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	13	85%	1.64	20.0
Inferno	7	86%	1.12	16.1
Dust2	4	100%	1.38	17.8
Ancient	2	50%	0.99	12.5
Overpass	2	50%	1.08	14.5
Train	2	100%	1.41	15.0

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.

22.1%Headshot accuracy

40.3%Accuracy (enemy spotted)

45.7%Spray accuracy

86.8%Counter-strafing

8.0°Preaim

533msReaction time

8.6%T opening success

49.5%CT opening success

0.60Enemies flashed / flash

10.9%Flash assists

8.53HE damage / grenade

9.72Flashes / 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 8.6172% — below the 40% mark we flag

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–11	0.01	23%	28 Aug →
ancient	9–13	-0.06	19%	22 Aug →
mirage	13–2	0.23	31%	22 Aug →
inferno	13–2	-0.05	31%	22 Aug →
nuke	0–4	-0.06	0%	22 Aug →
dust2	13–8	0.05	29%	22 Aug →
mirage	13–1	0.11	22%	22 Aug →
ancient	13–6	0.01	11%	21 Aug →
mirage	3–6	-0.13	57%	21 Aug →
mirage	13–6	0.08	12%	21 Aug →
cache	13–2	0.03	15%	21 Aug →
dust2	13–6	0.02	26%	17 Aug →
dust2	11–13	0.03	15%	17 Aug →
dust2	10–13	0.03	14%	17 Aug →
train	10–13	0.02	22%	16 Aug →
dust2	13–4	0.07	19%	16 Aug →
dust2	3–0	0.00	100%	16 Aug →
mirage	5–13	-0.05	29%	16 Aug →
dust2	13–2	0.05	13%	15 Aug →
dust2	13–5	0.09	23%	15 Aug →
dust2	13–1	0.04	27%	15 Aug →
ancient	13–2	0.01	17%	15 Aug →
inferno	13–6	0.05	47%	15 Aug →
train	13–1	0.05	8%	15 Aug →
cache	13–3	0.11	14%	15 Aug →
inferno	11–13	0.04	21%	15 Aug →
dust2	13–7	-0.01	29%	15 Aug →
dust2	2–6	-0.06	12%	14 Aug →
mirage	13–2	0.03	18%	14 Aug →
anubis	4–13	-0.03	17%	14 Aug →
dust2	13–5	0.08	14%	14 Aug →
anubis	13–3	-0.01	21%	14 Aug →
dust2	13–8	-0.01	30%	14 Aug →
inferno	13–1	0.18	32%	14 Aug →
dust2	12–12	-0.04	9%	14 Aug →
mirage	13–4	0.15	15%	14 Aug →
inferno	9–13	-0.00	16%	14 Aug →
ancient	12–12	0.04	13%	14 Aug →
inferno	13–7	0.06	17%	14 Aug →
dust2	13–4	-0.05	17%	14 Aug →
mirage	1–3	-0.11	0%	14 Aug →
mirage	10–13	-0.03	15%	8 Aug →
dust2	13–4	0.11	44%	8 Aug →
inferno	13–6	0.01	24%	8 Aug →
dust2	13–11	-0.02	25%	8 Aug →
dust2	13–7	0.11	16%	8 Aug →
cache	12–12	0.06	25%	8 Aug →
mirage	13–2	0.15	19%	7 Aug →
dust2	0–3	-0.08	0%	7 Aug →
dust2	13–6	0.10	27%	7 Aug →
dust2	13–4	0.04	14%	26 Jul →
dust2	7–13	0.00	27%	26 Jul →
inferno	13–10	0.02	20%	26 Jul →
dust2	13–8	0.01	21%	26 Jul →
dust2	13–3	0.05	18%	26 Jul →
anubis	7–0	0.11	13%	26 Jul →
inferno	13–2	0.10	13%	26 Jul →
inferno	13–3	0.07	30%	26 Jul →
inferno	13–11	-0.02	13%	25 Jul →
mirage	13–3	0.12	8%	25 Jul →
inferno	13–6	0.00	18%	25 Jul →
anubis	13–2	0.06	14%	25 Jul →
inferno	13–0	0.02	10%	21 Jul →
dust2	13–1	0.08	28%	21 Jul →
mirage	11–6	0.02	23%	21 Jul →
shelter	13–8	0.05	36%	21 Jul →
anubis	13–1	0.09	20%	21 Jul →
inferno	13–7	-0.04	35%	21 Jul →
overpass	13–7	0.00	18%	21 Jul →
mirage	13–9	0.06	33%	21 Jul →
dust2	13–10	-0.01	23%	21 Jul →
mirage	13–6	-0.02	19%	19 Jul →
dust2	6–13	0.01	26%	19 Jul →
mirage	13–8	-0.02	26%	19 Jul →
cache	13–5	0.02	21%	19 Jul →
inferno	13–3	0.13	13%	19 Jul →
anubis	13–3	0.01	13%	19 Jul →
mirage	2–13	0.06	42%	18 Jul →
office	13–8	0.03	34%	18 Jul →
italy	13–7	0.07	24%	18 Jul →
dust2	13–11	0.02	21%	18 Jul →
mirage	13–5	0.10	30%	17 Jul →
dust2	13–0	0.17	45%	17 Jul →
mirage	13–9	0.05	14%	17 Jul →
dust2	7–13	0.01	19%	17 Jul →
dust2	7–13	-0.01	33%	17 Jul →
mirage	13–1	0.14	64%	17 Jul →
inferno	11–13	-0.02	14%	17 Jul →
dust2	9–13	-0.03	28%	17 Jul →
mirage	13–8	-0.00	30%	16 Jul →
inferno	13–4	0.11	8%	16 Jul →
dust2	13–2	0.03	44%	16 Jul →
dust2	13–7	0.06	28%	16 Jul →
anubis	13–7	0.02	30%	15 Jul →
mirage	13–4	0.03	17%	15 Jul →
dust2	13–11	0.11	31%	15 Jul →
train	13–5	0.01	31%	15 Jul →
overpass	13–4	0.05	38%	15 Jul →
ancient	12–6	-0.07	10%	15 Jul →
mirage	13–6	-0.02	31%	15 Jul →