JNippy — CS2 Stats

76561198287004560[U:1:326738832]

3,756Tracked matches47%Win rate2020Tracked since

7,936Hours in CS35Hrs last 2 wks

CSDB Rating6.3 SolidHybrid Rifler

Premier CS Rating23,064Top 50% of 819 CSDB-tracked playersPink band · top ~5.1% of ranked players (population est.)

CSDB Leaderboard#2303 of 8332 tracked

FaceitLevel 7 · 1,544 ELOTop 42.3% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim89

Positioning42

Utility64

0–100 skill scores via Leetify.

Recent form

STEADY51–47–2Last 10051%Win rateWLWLWWLLLW

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.

Aim8.9

Aggression5.1

Utility6.4

Positioning4.2

Opening Duels1.4

Clutch3.4

Sharp aimerStrong CT-side openerEffective flashes

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 93% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower 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.

Flashes. 0.84 enemies blinded per flash — utility that consistently lands.

Areas to improve

Positioning. Positioning trails aim by 47 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 47% on CT to 25% 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

Aim8.9

Positioning4.2

Utility6.4

Mechanics7.1

Opening Duels2.1

Win Impact3.9

Composite 6.3/10 (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-0.01−0.00

first ⅓ avg -0.00 → last ⅓ avg -0.01

Reaction time536ms−169ms

first ⅓ avg 705ms → last ⅓ avg 536ms

Headshot accuracy20.1%−0.6%

first ⅓ avg 20.8% → last ⅓ avg 20.1%

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

0.16Best rating — office 13–4

13–1Biggest win — inferno

7Longest win streak

7–8In matches decided by ≤2 rounds

12Overtime games

Map breakdown

anubisBest map · 80% over 5dust2Weakest map · 33% over 21

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	21	7–14	33%	-0.02
mirage	S	19	13–6	68%	0.01
nuke	C	18	8–10	44%	-0.01
inferno	C	11	4–7	36%	-0.01
ancient	A	11	7–4	64%	-0.01
cache	D	9	3–6	33%	-0.01
anubis	S	5	4–1	80%	0.01
train	—	2	1–1	50%	0.02
office	—	2	2–0	100%	0.09
vertigo	—	2	2–0	100%	-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 21). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

155,255Lifetime kills

1.06K/D

7,518Matches

51.1%Match win rate · Top 25% of Pink band

47.3%Headshot %

16.1%Shot accuracy · Top 25% of Pink band

17,138MVPs

3,959Hours (in match)

6,392Bombs planted

2,117Bombs defused

Most-used weapons

AK-4753,139

M4A4 / M4A1-S25,187

AWP16,288

Desert Eagle12,768

P2000 / USP-S9,211

Glock-186,417

Galil AR5,012

FAMAS3,550

MP92,402

SSG 082,309

Lifetime map wins

16,938inferno

11,702dust2

5,138nuke

3,670vertigo

3,270train

606cbble

355office

154lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

1,187Matches

49%Win rate

1.00Avg K/D

73.7ADR

47%Headshot %

Clutches & streaks

37%1v1 clutch win

23%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	147	45%	0.98	14.0
Dust2	130	39%	0.90	14.9
Mirage	110	54%	1.09	15.4
Nuke	107	51%	0.99	14.8
Anubis	40	55%	1.03	15.9
Train	39	56%	1.02	13.6
Inferno	39	46%	0.98	12.8
Overpass	23	39%	0.77	13.7

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.

20.9%Headshot accuracy

38.5%Accuracy (enemy spotted)

44.4%Spray accuracy

81.8%Counter-strafing

7.7°Preaim

544msReaction time

24.9%T opening success

46.6%CT opening success

0.84Enemies flashed / flash

6.8%Flash assists

10.96HE damage / grenade

8.17Flashes / 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 24.9195% — below the 40% mark we flag

Spend your practice time on Dust 2

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

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	13–11	-0.02	12%	26 Aug →
cache	2–13	-0.03	11%	26 Aug →
mirage	13–7	0.04	31%	25 Aug →
dust2	13–16	-0.02	25%	24 Aug →
mirage	16–12	-0.01	21%	24 Aug →
anubis	13–9	0.02	17%	24 Aug →
nuke	11–13	-0.04	21%	24 Aug →
inferno	4–13	-0.09	14%	24 Aug →
nuke	2–9	-0.05	27%	24 Aug →
mirage	13–10	0.01	20%	24 Aug →
dust2	5–13	-0.05	0%	19 Aug →
mirage	4–13	-0.05	18%	19 Aug →
mirage	13–8	0.02	35%	19 Aug →
dust2	6–13	-0.06	28%	17 Aug →
train	6–13	0.01	18%	17 Aug →
dust2	10–13	-0.03	23%	17 Aug →
ancient	6–2	-0.00	24%	17 Aug →
office	13–4	0.16	27%	17 Aug →
inferno	5–13	0.01	21%	17 Aug →
dust2	14–16	-0.07	21%	14 Aug →
mirage	13–6	0.13	31%	13 Aug →
mirage	13–6	-0.03	30%	12 Aug →
mirage	5–13	-0.04	20%	11 Aug →
ancient	13–6	0.08	16%	11 Aug →
dust2	13–7	-0.01	12%	11 Aug →
dust2	4–13	-0.06	18%	11 Aug →
mirage	6–13	-0.03	7%	11 Aug →
dust2	13–11	-0.01	18%	10 Aug →
inferno	13–8	0.11	20%	10 Aug →
inferno	6–13	-0.00	26%	10 Aug →
vertigo	16–14	-0.02	20%	9 Aug →
vertigo	16–13	-0.04	20%	9 Aug →
nuke	13–9	-0.01	12%	9 Aug →
cache	5–13	-0.04	22%	9 Aug →
ancient	13–9	-0.03	18%	5 Aug →
mirage	16–13	-0.03	16%	4 Aug →
dust2	13–4	0.02	19%	4 Aug →
ancient	6–13	-0.05	14%	3 Aug →
mirage	13–4	-0.03	8%	3 Aug →
cache	16–12	0.05	19%	3 Aug →
inferno	13–9	-0.03	11%	1 Aug →
nuke	6–13	-0.04	35%	1 Aug →
cache	8–13	-0.06	25%	1 Aug →
inferno	5–13	-0.07	16%	1 Aug →
office	13–8	0.03	22%	1 Aug →
mirage	13–11	0.06	15%	1 Aug →
ancient	13–6	0.01	15%	1 Aug →
dust2	4–13	-0.05	25%	1 Aug →
dust2	11–13	0.06	26%	29 Jul →
ancient	11–13	0.01	14%	29 Jul →
dust2	10–13	-0.06	24%	27 Jul →
dust2	13–6	-0.01	15%	23 Jul →
mirage	9–13	-0.01	37%	22 Jul →
mirage	16–14	0.01	12%	20 Jul →
inferno	8–13	0.07	26%	20 Jul →
nuke	13–8	0.01	26%	16 Jul →
mirage	13–10	0.00	46%	15 Jul →
nuke	13–4	0.04	20%	15 Jul →
ancient	16–14	-0.04	18%	13 Jul →
anubis	13–4	0.05	21%	13 Jul →
nuke	13–10	-0.07	19%	13 Jul →
cache	13–7	0.00	24%	13 Jul →
dust2	8–13	-0.04	2%	13 Jul →
cache	7–13	-0.04	18%	13 Jul →
mirage	13–3	0.01	33%	13 Jul →
dust2	13–9	-0.04	33%	12 Jul →
dust2	7–13	-0.07	8%	11 Jul →
nuke	6–13	0.03	18%	11 Jul →
ancient	14–16	-0.05	24%	11 Jul →
mirage	13–5	0.02	12%	10 Jul →
nuke	11–13	0.01	34%	9 Jul →
dust2	13–3	0.04	17%	9 Jul →
anubis	13–10	-0.00	26%	9 Jul →
nuke	13–10	0.06	22%	9 Jul →
nuke	11–13	-0.01	18%	9 Jul →
cache	13–8	0.07	22%	9 Jul →
inferno	13–1	-0.00	23%	9 Jul →
ancient	9–13	-0.04	18%	9 Jul →
nuke	16–13	0.02	15%	9 Jul →
inferno	13–11	0.06	26%	9 Jul →
cache	11–13	0.01	33%	9 Jul →
nuke	7–13	-0.01	11%	9 Jul →
ancient	13–9	0.07	22%	5 Jul →
nuke	10–13	-0.11	7%	5 Jul →
inferno	8–8	-0.05	10%	5 Jul →
nuke	6–13	-0.05	18%	3 Jul →
ancient	13–2	-0.03	14%	3 Jul →
inferno	12–12	-0.05	11%	3 Jul →
train	13–4	0.03	23%	3 Jul →
nuke	6–13	-0.05	33%	3 Jul →
dust2	8–13	-0.00	25%	29 Jun →
dust2	6–13	-0.05	29%	27 Jun →
nuke	16–12	0.07	29%	27 Jun →
mirage	9–13	0.02	13%	27 Jun →
mirage	5–13	0.03	21%	27 Jun →
dust2	10–13	-0.02	29%	25 Jun →
anubis	5–13	0.00	18%	25 Jun →
dust2	13–2	-0.00	32%	23 Jun →
nuke	13–10	-0.06	15%	23 Jun →
cache	8–13	-0.03	17%	23 Jun →