MedicT — CS2 Stats

76561197981957847[U:1:21692119]✓ No bans

1,627Tracked matches41%Win rate2021Tracked since

1,076Hours in CS

CSDB Rating5.3 DevelopingHybrid Rifler

Premier CS Rating14,404Blue band · top ~31.6% of ranked players (population est.)

CSDB Leaderboard#5753 of 8557 tracked

FaceitLevel 5Top 67.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim68

Positioning55

Utility60

0–100 skill scores via Leetify.

Recent form

STEADY45–48–7Last 10045%Win rateLLLTWWWLWL

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

Player DNA

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

Aim6.8

Aggression8.2

Utility6.0

Positioning5.5

Opening Duels2.7

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 b1t 90% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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

Reaction time. 603ms 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

Aim6.8

Positioning5.5

Utility6.0

Mechanics6.8

Opening Duels2.7

Win Impact2.1

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.02

first ⅓ avg 0.02 → last ⅓ avg 0.00

Reaction time591ms−40ms

first ⅓ avg 631ms → last ⅓ avg 591ms

Headshot accuracy14.9%−1.1%

first ⅓ avg 16.0% → last ⅓ avg 14.9%

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

0.20Best rating — inferno 12–12

13–0Biggest win — dust2

5Longest win streak

L3Current streak

7–8In matches decided by ≤2 rounds

5Overtime games

Map breakdown

anubisBest map · 80% over 5ancientWeakest map · 13% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	24	12–12	50%	0.02
inferno	C	23	9–14	39%	0.01
mirage	A	17	10–7	59%	0.04
nuke	D	14	3–11	21%	-0.01
ancient	D	8	1–7	13%	-0.01
cache	C	5	2–3	40%	0.01
anubis	S	5	4–1	80%	0.01
overpass	—	3	3–0	100%	-0.03
train	—	1	1–0	100%	0.10

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

47,843Lifetime kills

1.09K/D · Top 50% of tracked players

2,248Matches

47.1%Match win rate · Top 50% of tracked players

43.0%Headshot %

14.1%Shot accuracy · Top 50% of tracked players

5,046MVPs

1,076Hours (in match)

2,454Bombs planted

767Bombs defused

Most-used weapons

AK-4714,594

M4A4 / M4A1-S11,409

Desert Eagle4,524

AWP4,135

P2000 / USP-S3,603

Glock-181,833

Galil AR1,249

Knife924

FAMAS575

MP9561

Lifetime map wins

5,108inferno

3,744dust2

1,767nuke

1,576vertigo

296train

26italy

25cbble

23office

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

Faceit stats

Combat

111Matches

53%Win rate

1.21Avg K/D

71.9ADR

39%Headshot %

Clutches & streaks

20%1v1 clutch win

14%1v2 clutch win

6Longest win streak

Recent Faceit resultsLWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	15	53%	1.13	16.1
Ancient	13	46%	1.23	15.8
Anubis	12	42%	1.41	16.8
Dust2	8	75%	0.98	15.1
Mirage	8	38%	0.92	14.9
Vertigo	4	100%	1.00	14.5
Nuke	3	67%	2.50	15.0
Overpass	3	67%	1.26	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.

14.8%Headshot accuracy

34.2%Accuracy (enemy spotted)

36.4%Spray accuracy

80.6%Counter-strafing

8.2°Preaim

603msReaction time

33.5%T opening success

48.3%CT opening success

0.59Enemies flashed / flash

8.7%Flash assists

7.89HE damage / grenade

11.14Flashes / 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 14.7897% — 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 33.5199% — below the 40% mark we flag

Spend your practice time on Ancient

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	4–13	-0.04	21%	23 Aug →
mirage	0–13	-0.02	20%	23 Aug →
nuke	5–13	-0.01	13%	23 Aug →
dust2	15–15	0.01	11%	23 Aug →
inferno	9–6	0.01	12%	23 Aug →
inferno	13–10	0.02	11%	20 Aug →
dust2	13–11	0.03	25%	20 Aug →
inferno	4–13	-0.06	14%	14 Aug →
dust2	13–0	0.01	17%	14 Aug →
inferno	5–13	-0.01	6%	14 Aug →
nuke	9–13	-0.01	9%	11 Aug →
nuke	6–13	0.05	22%	11 Aug →
dust2	8–13	-0.02	16%	5 Aug →
inferno	16–13	0.06	17%	3 Aug →
nuke	8–13	-0.05	2%	2 Aug →
cache	11–13	0.01	21%	30 Jul →
dust2	13–11	-0.03	19%	30 Jul →
inferno	8–13	-0.08	3%	30 Jul →
ancient	7–13	0.02	11%	30 Jul →
mirage	13–8	0.03	16%	29 Jul →
cache	13–10	0.05	9%	28 Jul →
dust2	9–13	-0.01	23%	28 Jul →
dust2	9–13	-0.03	11%	25 Jul →
dust2	4–13	-0.03	18%	25 Jul →
dust2	13–9	0.03	9%	25 Jul →
mirage	13–5	0.02	11%	23 Jul →
dust2	11–13	0.04	16%	23 Jul →
dust2	10–13	-0.04	28%	23 Jul →
anubis	13–10	0.05	18%	23 Jul →
nuke	13–9	0.04	10%	8 Jul →
inferno	13–3	0.08	21%	7 Jul →
ancient	7–13	-0.01	21%	6 Jul →
overpass	13–3	-0.04	13%	4 Jul →
inferno	7–13	-0.03	21%	2 Jul →
dust2	13–2	0.10	13%	2 Jul →
nuke	13–16	-0.00	12%	2 Jul →
ancient	8–13	-0.02	22%	2 Jul →
mirage	13–6	-0.05	13%	26 Jun →
dust2	8–13	0.07	16%	26 Jun →
mirage	8–13	0.03	26%	20 Jun →
inferno	13–8	-0.03	13%	19 Jun →
inferno	9–13	0.02	26%	13 Jun →
nuke	11–13	-0.01	13%	13 Jun →
ancient	13–11	0.00	27%	13 Jun →
inferno	5–13	-0.04	13%	13 Jun →
inferno	7–13	-0.04	12%	13 Jun →
mirage	6–13	-0.04	15%	12 Jun →
ancient	10–13	0.01	17%	12 Jun →
inferno	13–8	0.04	12%	11 Jun →
anubis	13–6	-0.00	16%	6 Jun →
nuke	13–10	-0.01	9%	6 Jun →
inferno	8–1	0.11	16%	5 Jun →
nuke	15–15	0.02	19%	5 Jun →
overpass	13–10	-0.04	19%	4 Jun →
inferno	7–9	-0.04	8%	4 Jun →
inferno	12–12	0.20	14%	30 May →
dust2	13–5	0.03	20%	30 May →
mirage	13–5	0.03	16%	29 May →
anubis	13–9	0.04	16%	29 May →
dust2	13–7	0.04	17%	25 May →
inferno	8–13	-0.04	4%	25 May →
mirage	13–11	0.13	14%	24 May →
inferno	12–12	0.07	15%	24 May →
mirage	13–4	0.05	15%	23 May →
nuke	6–13	-0.02	18%	23 May →
ancient	10–13	-0.04	8%	23 May →
inferno	5–13	-0.00	14%	23 May →
nuke	13–6	-0.00	6%	22 May →
anubis	13–7	-0.02	13%	22 May →
mirage	12–12	0.10	20%	14 May →
inferno	13–10	0.14	17%	14 May →
train	13–10	0.10	12%	13 May →
inferno	13–7	-0.01	14%	13 May →
nuke	7–13	-0.02	17%	13 May →
nuke	6–13	-0.06	17%	12 May →
dust2	11–13	0.06	24%	12 May →
mirage	13–8	0.08	18%	12 May →
inferno	9–13	-0.02	8%	9 May →
ancient	9–13	-0.05	16%	9 May →
dust2	8–13	0.05	19%	2 May →
nuke	3–13	-0.08	12%	1 May →
dust2	16–14	0.00	18%	1 May →
cache	11–13	0.05	16%	1 May →
mirage	12–12	0.00	21%	1 May →
cache	13–10	0.01	15%	30 Apr →
cache	4–13	-0.08	13%	29 Apr →
mirage	13–10	0.04	19%	27 Apr →
mirage	1–13	-0.01	13%	27 Apr →
anubis	12–12	-0.04	15%	24 Apr →
dust2	7–13	0.00	25%	24 Apr →
inferno	11–13	-0.06	10%	24 Apr →
overpass	13–11	-0.03	21%	24 Apr →
ancient	11–13	0.02	11%	23 Apr →
dust2	13–5	0.07	15%	17 Apr →
mirage	2–13	0.07	23%	17 Apr →
mirage	13–1	0.14	20%	17 Apr →
dust2	13–11	0.01	7%	17 Apr →
dust2	13–10	-0.03	15%	17 Apr →
dust2	13–4	0.07	29%	15 Apr →
mirage	13–7	0.05	11%	12 Apr →