jigglemypuff — CS2 Stats

76561198048884905[U:1:88619177]Steam profile ↗✓ No bans

1,455Tracked matches55%Win rate2020Tracked since

2,267Hours in CS

CSDB Rating5.6 SolidPassive Rifler

Premier CS Rating18,799Purple band · top ~13.3% of ranked players (population est.)

CSDB Leaderboard#17559 of 38041 tracked

FaceitLevel 4 · 939 ELOTop 81.0% of ranked FACEIT players

WingmanMaster Guardian Elite

Ladder ranks via Leetify

Rating over time

18,799Peak Premier on CSDB

939Peak Faceit ELO on CSDB

1Days observed since 2026-08-28

Faceit ELO

At peak — 939
Next: Level 5 at 1,051 — 112 to go
Reached: Level 4 · Level 3 · Level 2
Level 4 first seen 2026-08-28
Level 3 first seen 2026-08-28

Premier CS Rating

At peak — 18,799
Next: Pink band at 20,000 — 1,201 to go
Reached: Purple band · Blue band · Light Blue band
Purple band first seen 2026-08-28
Blue band first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=1,711), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 4 median	Level 5 median	vs Level 5
Headshot rate	41.2%	42.7%	44.0%	2.8% short
Shot accuracy	12.2%	10.8%	11.6%	above
Kill/death ratio	0.93	1.00	1.03	0.10 short
Match win rate	39.5%	44.1%	45.1%	5.6% short

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim72

Positioning36

Utility57

0–100 skill scores via Leetify.

Recent form

HOT55–42–3Last 10055%Win rateLWWWWLWWWL

Last 10 vs previous 10: +30pp win rate · +0.00 avg rating

Player DNA

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

Aim7.2

Aggression2.3

Utility5.7

Positioning3.6

Opening Duels0.0

Clutch0.0

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 77% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower opening-duel success; lower opening-fight frequency.

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

Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.

Reaction time. 593ms 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

Aim7.2

Positioning3.6

Utility5.7

Mechanics7.8

Opening Duels0.1

Win Impact6.7

Composite 5.6/10 (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 rating-0.03−0.02

first ⅓ avg -0.01 → last ⅓ avg -0.03

Reaction time577ms−63ms

first ⅓ avg 640ms → last ⅓ avg 577ms

Headshot accuracy13.4%−1.0%

first ⅓ avg 14.4% → last ⅓ avg 13.4%

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

0.13Best rating — dust2 13–3

13–2Biggest win — mirage

9Longest win streak

2–15In matches decided by ≤2 rounds

12Overtime games

Map breakdown

dust2Best map · 62% over 26infernoWeakest map · 43% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	26	16–10	62%	-0.00
mirage	A	18	11–7	61%	-0.02
cache	B	17	9–8	53%	-0.02
ancient	A	16	9–7	56%	-0.02
anubis	C	9	4–5	44%	-0.03
inferno	C	7	3–4	43%	-0.02
nuke	C	7	3–4	43%	-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

101,867Lifetime kills

0.93K/D

5,040Matches

39.5%Match win rate

41.2%Headshot %

12.2%Shot accuracy · Top 50% of Level 4 players

7,693MVPs

2,267Hours (in match)

3,018Bombs planted

889Bombs defused

Most-used weapons

AK-4735,721

M4A4 / M4A1-S19,343

AWP11,115

P2000 / USP-S6,465

Desert Eagle3,410

Glock-182,920

P2502,509

Galil AR2,052

UMP-451,898

FAMAS1,752

Lifetime map wins

10,553dust2

3,943inferno

1,324vertigo

1,212nuke

611train

574cbble

108lake

55ar_shoots

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

Faceit stats

Combat

283Matches

51%Win rate

1.16Avg K/D

79.2ADR

40%Headshot %

Clutches & streaks

18%1v1 clutch win

22%1v2 clutch win

7Longest win streak

Recent Faceit resultsWWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	32	50%	0.99	14.5
Ancient	20	40%	1.07	15.2
Dust2	14	21%	0.83	14.2
Anubis	12	75%	1.08	14.7
Vertigo	9	67%	1.15	16.8
Inferno	8	62%	0.99	15.8
Cache	3	67%	0.63	9.7
Overpass	3	0%	0.96	18.3

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.

13.3%Headshot accuracy

36.7%Accuracy (enemy spotted)

36.8%Spray accuracy

85.3%Counter-strafing

9.3°Preaim

593msReaction time

23.4%T opening success

31.1%CT opening success

0.61Enemies flashed / flash

5.8%Flash assists

10.29HE damage / grenade

11.92Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 13.2786% — below the 15% mark we flag
Aim Training →
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 23.4149% — 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.

43% win rate across 7 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	10–13	0.01	24%	14 Aug →
dust2	13–9	-0.02	11%	14 Aug →
dust2	13–7	-0.01	13%	14 Aug →
mirage	13–10	-0.02	11%	13 Aug →
ancient	13–7	-0.03	24%	13 Aug →
cache	11–13	-0.02	6%	12 Aug →
mirage	13–6	-0.02	10%	12 Aug →
anubis	13–7	-0.01	8%	12 Aug →
mirage	13–4	0.02	9%	12 Aug →
ancient	10–13	-0.07	26%	11 Aug →
dust2	7–13	0.02	10%	11 Aug →
cache	13–10	-0.04	8%	11 Aug →
inferno	8–13	-0.04	13%	11 Aug →
ancient	14–16	-0.04	8%	10 Aug →
dust2	13–7	-0.01	16%	10 Aug →
mirage	14–16	0.01	14%	9 Aug →
anubis	15–15	-0.05	9%	9 Aug →
mirage	14–16	-0.03	6%	9 Aug →
mirage	13–10	-0.04	6%	8 Aug →
inferno	13–6	0.01	19%	8 Aug →
cache	13–6	-0.02	14%	8 Aug →
dust2	9–13	-0.05	16%	8 Aug →
ancient	8–13	-0.04	20%	7 Aug →
nuke	8–13	-0.03	19%	7 Aug →
dust2	16–13	-0.05	17%	7 Aug →
nuke	10–13	-0.05	12%	6 Aug →
anubis	11–13	-0.06	18%	4 Aug →
cache	13–3	0.06	17%	2 Aug →
nuke	13–6	-0.07	15%	2 Aug →
anubis	13–9	-0.05	9%	2 Aug →
inferno	8–13	-0.07	8%	2 Aug →
mirage	2–13	-0.10	18%	1 Aug →
ancient	13–7	-0.03	12%	31 Jul →
dust2	13–5	0.01	12%	31 Jul →
ancient	13–10	-0.06	11%	29 Jul →
inferno	5–13	0.00	11%	29 Jul →
anubis	10–13	-0.02	16%	28 Jul →
nuke	13–4	0.06	19%	28 Jul →
dust2	11–13	-0.02	19%	25 Jul →
ancient	13–9	-0.07	15%	25 Jul →
nuke	7–13	-0.02	14%	25 Jul →
cache	0–6	-0.08	0%	25 Jul →
cache	13–16	-0.05	9%	24 Jul →
mirage	13–7	0.00	13%	24 Jul →
dust2	13–6	0.11	11%	24 Jul →
ancient	13–3	-0.01	11%	24 Jul →
cache	13–9	-0.04	9%	23 Jul →
mirage	13–5	-0.03	11%	23 Jul →
dust2	11–13	-0.00	27%	23 Jul →
dust2	11–13	0.01	16%	21 Jul →
anubis	13–9	-0.03	9%	21 Jul →
cache	13–10	-0.07	22%	20 Jul →
cache	11–13	-0.02	12%	19 Jul →
cache	8–13	-0.03	17%	18 Jul →
ancient	13–3	0.02	16%	18 Jul →
cache	13–8	0.03	15%	18 Jul →
ancient	15–15	0.01	7%	16 Jul →
dust2	15–15	-0.05	12%	16 Jul →
cache	13–7	0.04	6%	15 Jul →
nuke	13–6	0.12	28%	15 Jul →
dust2	16–14	0.04	15%	15 Jul →
mirage	9–13	-0.02	25%	15 Jul →
dust2	13–10	0.03	19%	14 Jul →
dust2	13–11	-0.00	13%	10 Jul →
inferno	5–13	-0.04	9%	10 Jul →
dust2	8–13	-0.02	24%	10 Jul →
mirage	16–13	-0.11	7%	9 Jul →
ancient	11–13	0.02	17%	9 Jul →
cache	13–3	0.04	11%	9 Jul →
dust2	14–16	-0.03	21%	9 Jul →
anubis	8–13	-0.04	6%	9 Jul →
ancient	11–13	-0.04	14%	8 Jul →
dust2	13–9	-0.02	11%	8 Jul →
mirage	7–13	-0.03	15%	8 Jul →
dust2	13–9	-0.05	17%	8 Jul →
dust2	8–13	-0.04	4%	8 Jul →
cache	10–13	-0.06	13%	5 Jul →
mirage	16–13	-0.06	17%	3 Jul →
anubis	11–13	0.01	27%	3 Jul →
ancient	13–10	0.01	7%	2 Jul →
dust2	13–5	0.01	19%	2 Jul →
dust2	13–5	-0.06	12%	2 Jul →
ancient	13–8	-0.00	17%	2 Jul →
mirage	0–4	-0.07	0%	2 Jul →
cache	6–13	-0.01	28%	1 Jul →
dust2	13–9	-0.04	24%	29 Jun →
mirage	13–3	-0.01	8%	28 Jun →
inferno	13–7	-0.01	11%	27 Jun →
ancient	13–4	0.02	19%	24 Jun →
cache	6–1	0.00	7%	24 Jun →
anubis	13–10	-0.01	11%	24 Jun →
dust2	13–6	0.04	15%	23 Jun →
mirage	13–2	0.07	6%	23 Jun →
inferno	13–9	0.01	16%	23 Jun →
nuke	6–13	-0.02	24%	23 Jun →
dust2	4–13	-0.05	11%	22 Jun →
cache	11–13	-0.05	16%	22 Jun →
mirage	11–13	-0.01	14%	22 Jun →
dust2	13–3	0.13	30%	19 Jun →
mirage	13–7	0.03	9%	19 Jun →