magicpants — CS2 Stats

US76561198162691679[U:1:202425951]Steam profile ↗✓ No bans

1,943Tracked matches59%Win rate2020Tracked since

4,761Hours in CS22Hrs last 2 wks

CSDB Rating5.9 SolidHybrid Rifler

Premier CS Rating21,396Top 50% of 29,473 CSDB-tracked playersPink band · top ~7% of ranked players (population est.)

CSDB Leaderboard#12132 of 38034 tracked

FaceitLevel 1Top 100.0% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 1 among CSDB-tracked players (n=230), 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 1 median	Level 2 median	vs Level 2
Headshot rate	39.8%	41.1%	41.2%	1.4% short
Shot accuracy	12.2%	14.1%	12.5%	0.3% short
Kill/death ratio	1.01	0.97	0.96	above
Match win rate	39.8%	41.9%	42.8%	3.0% short

This profile matches the typical Level 2 player on 1 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 2 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim69

Positioning47

Utility45

0–100 skill scores via Leetify.

Recent form

STEADY47–50–3Last 10047%Win rateLLWWWLWWWT

Last 10 vs previous 10: +40pp win rate · +0.01 avg rating

Player DNA

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

Aim6.9

Aggression5.9

Utility4.5

Positioning4.7

Opening Duels2.1

Strong CT-side openerLimited utility dependence

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 86% playstyle similarity

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

Where you differ: lower utility contribution; 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 53% on CT to 23% 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

Aim6.9

Positioning4.7

Utility4.5

Mechanics6.7

Opening Duels2.9

Win Impact8.1

Composite 5.9/10 (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 rating0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg 0.00

Reaction time522ms−63ms

first ⅓ avg 585ms → last ⅓ avg 522ms

Headshot accuracy15.1%−5.1%

first ⅓ avg 20.2% → last ⅓ avg 15.1%

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

0.23Best rating — anubis 13–5

13–1Biggest win — anubis

9Longest win streak

L2Current streak

8–11In matches decided by ≤2 rounds

10Overtime games

Map breakdown

cacheBest map · 56% over 16infernoWeakest map · 36% over 11

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	24	12–12	50%	0.00
nuke	C	16	7–9	44%	0.01
cache	A	16	9–7	56%	0.01
mirage	B	16	8–8	50%	0.02
inferno	C	11	4–7	36%	-0.01
anubis	C	7	3–4	43%	0.04
ancient	C	7	3–4	43%	0.01
office	—	2	1–1	50%	0.02
overpass	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

131,430Lifetime kills

1.01K/D · Top 50% of Level 1 players

6,840Matches

39.8%Match win rate

39.8%Headshot %

12.2%Shot accuracy

14,688MVPs

2,574Hours (in match)

6,312Bombs planted

1,463Bombs defused

Most-used weapons

AK-4731,141

M4A4 / M4A1-S19,894

AWP17,496

Desert Eagle8,237

P2000 / USP-S8,126

SSG 086,477

Glock-186,143

P902,902

MP92,720

Galil AR2,714

Lifetime map wins

19,969dust2

7,340inferno

6,568nuke

2,385vertigo

1,393train

773office

310cbble

55aztec

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

Faceit stats

Combat

71Matches

35%Win rate

0.93Avg K/D

—ADR

34%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

2Longest win streak

Recent Faceit resultsWWLWL

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.

15.2%Headshot accuracy

34.7%Accuracy (enemy spotted)

34.7%Spray accuracy

80.4%Counter-strafing

10.5°Preaim

522msReaction time

23.5%T opening success

53.2%CT opening success

0.56Enemies flashed / flash

3.7%Flash assists

11.87HE damage / grenade

4.87Flashes / 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 23.4567% — 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.

36% win rate across 11 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
nuke	11–13	0.02	16%	28 Aug →
anubis	5–13	-0.03	9%	28 Aug →
anubis	13–10	0.01	8%	27 Aug →
dust2	13–6	0.01	13%	27 Aug →
cache	13–7	0.03	16%	27 Aug →
nuke	8–13	0.02	25%	26 Aug →
cache	13–6	-0.03	6%	26 Aug →
cache	13–7	0.03	9%	24 Aug →
nuke	13–6	-0.08	8%	24 Aug →
inferno	15–15	-0.04	14%	24 Aug →
mirage	15–15	-0.01	19%	23 Aug →
inferno	6–13	-0.01	22%	23 Aug →
dust2	13–10	-0.04	11%	23 Aug →
dust2	2–13	-0.07	33%	23 Aug →
ancient	14–16	-0.00	14%	23 Aug →
anubis	2–13	-0.04	27%	22 Aug →
dust2	0–13	-0.02	0%	21 Aug →
dust2	9–13	0.01	22%	21 Aug →
ancient	13–10	-0.02	18%	21 Aug →
nuke	15–15	0.01	15%	21 Aug →
dust2	9–13	-0.11	16%	21 Aug →
mirage	10–13	0.10	12%	19 Aug →
cache	13–6	0.05	15%	19 Aug →
dust2	13–11	-0.03	17%	19 Aug →
ancient	13–11	0.04	19%	18 Aug →
mirage	4–3	0.01	0%	18 Aug →
mirage	13–3	0.03	22%	18 Aug →
office	13–9	0.02	24%	17 Aug →
dust2	13–7	0.00	5%	17 Aug →
nuke	13–5	0.11	17%	16 Aug →
cache	13–10	0.06	13%	16 Aug →
ancient	14–16	-0.00	17%	16 Aug →
inferno	16–12	-0.01	17%	15 Aug →
dust2	13–6	-0.01	11%	15 Aug →
overpass	7–9	-0.05	9%	15 Aug →
mirage	16–14	-0.02	15%	14 Aug →
nuke	13–4	0.07	14%	14 Aug →
inferno	13–2	0.03	13%	14 Aug →
dust2	7–13	0.05	15%	14 Aug →
anubis	7–13	-0.02	7%	13 Aug →
ancient	13–10	0.08	12%	13 Aug →
dust2	13–10	0.08	18%	12 Aug →
mirage	6–13	0.03	21%	12 Aug →
dust2	13–9	-0.01	14%	11 Aug →
mirage	13–11	0.14	20%	11 Aug →
nuke	13–4	0.10	21%	11 Aug →
office	9–13	0.03	28%	9 Aug →
inferno	10–13	-0.03	11%	9 Aug →
nuke	9–13	-0.07	16%	9 Aug →
anubis	5–13	0.11	9%	9 Aug →
dust2	2–13	-0.05	14%	9 Aug →
dust2	13–10	0.01	11%	9 Aug →
inferno	9–13	0.04	18%	9 Aug →
nuke	10–13	0.01	13%	6 Aug →
mirage	14–16	0.07	16%	6 Aug →
mirage	8–13	-0.03	17%	4 Aug →
dust2	13–3	0.13	21%	4 Aug →
inferno	3–13	-0.05	12%	4 Aug →
mirage	4–13	-0.05	11%	2 Aug →
cache	9–13	-0.11	20%	2 Aug →
mirage	2–13	-0.08	16%	2 Aug →
cache	13–8	0.02	20%	2 Aug →
inferno	14–16	-0.02	11%	2 Aug →
nuke	13–9	0.01	20%	2 Aug →
mirage	13–7	0.09	13%	1 Aug →
nuke	4–13	-0.03	23%	1 Aug →
cache	13–8	0.10	20%	1 Aug →
nuke	13–9	0.05	23%	1 Aug →
cache	13–3	0.09	22%	31 Jul →
anubis	13–5	0.23	21%	31 Jul →
dust2	9–13	0.08	19%	31 Jul →
dust2	13–10	0.02	14%	30 Jul →
mirage	13–3	0.06	17%	29 Jul →
dust2	6–13	-0.07	9%	28 Jul →
mirage	13–11	0.05	19%	27 Jul →
cache	13–11	0.03	8%	27 Jul →
nuke	3–13	-0.06	20%	26 Jul →
inferno	13–10	-0.01	13%	26 Jul →
nuke	2–13	0.00	19%	25 Jul →
cache	11–13	-0.02	26%	25 Jul →
dust2	13–8	0.09	15%	25 Jul →
nuke	8–13	-0.03	21%	24 Jul →
nuke	13–11	0.01	38%	22 Jul →
anubis	13–1	0.02	30%	22 Jul →
mirage	13–9	-0.05	12%	20 Jul →
dust2	11–13	0.03	20%	20 Jul →
cache	0–2	-0.02	100%	19 Jul →
dust2	8–13	-0.04	25%	19 Jul →
cache	2–13	0.02	11%	19 Jul →
dust2	6–13	0.02	16%	18 Jul →
inferno	13–7	0.04	16%	18 Jul →
cache	3–13	-0.02	16%	18 Jul →
dust2	13–6	0.01	13%	18 Jul →
cache	11–13	-0.04	11%	18 Jul →
inferno	8–13	-0.00	20%	18 Jul →
ancient	14–16	0.01	9%	17 Jul →
dust2	3–13	0.02	14%	17 Jul →
mirage	7–13	-0.00	20%	17 Jul →
cache	6–13	0.02	9%	17 Jul →
ancient	10–13	-0.04	20%	17 Jul →