Medar — CS2 Stats

76561197998329597[U:1:38063869]

2,023Tracked matches50%Win rate2020Tracked since

CSDB Rating4.5 Developing

FaceitLevel 5 · 1,124 ELOTop 67.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim51

Positioning56

Utility63

0–100 skill scores via Leetify.

Recent form

STEADY48–50–2Last 10048%Win rateLLLLWWWWWL

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating

Player DNA

Aim5.1

Aggression6.3

Utility6.3

Positioning5.6

Opening Duels2.3

Clutch3.0

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 Twistzz 89% playstyle similarity

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

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

T-side openings. Opening success drops from 51% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 615ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.1

Positioning5.6

Utility6.3

Mechanics4.3

Opening Duels2.6

Win Impact5.0

Composite 4.5/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg -0.00

Reaction time613ms−29ms

first ⅓ avg 642ms → last ⅓ avg 613ms

Headshot accuracy11.5%−1.9%

first ⅓ avg 13.4% → last ⅓ avg 11.5%

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

0.11Best rating — nuke 13–7

13–1Biggest win — overpass

5Longest win streak

L4Current streak

10–9In matches decided by ≤2 rounds

9Overtime games

Map breakdown

overpassBest map · 75% over 8infernoWeakest map · 35% over 20

Map	Grade	Played	Record	Win rate	Avg rating
nuke	B	22	10–12	45%	-0.01
inferno	C	20	7–13	35%	-0.01
ancient	A	19	11–8	58%	0.02
anubis	B	19	10–9	53%	0.02
overpass	S	8	6–2	75%	0.03
mirage	C	7	3–4	43%	0.00
dust2	—	3	1–2	33%	-0.05
cache	—	2	0–2	0%	-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (35% over 20). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

114Matches

46%Win rate

1.27Avg K/D

84.8ADR

34%Headshot %

Clutches & streaks

35%1v1 clutch win

26%1v2 clutch win

4Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	28	43%	1.09	17.8
Anubis	23	48%	1.18	17.0
Nuke	21	67%	1.82	17.2
Inferno	19	42%	1.37	16.8
Dust2	9	33%	0.91	13.4
Mirage	7	14%	0.96	13.9
Train	4	50%	1.12	17.8
Overpass	2	0%	0.82	12.5

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.

11.8%Headshot accuracy

38.1%Accuracy (enemy spotted)

40.9%Spray accuracy

69.4%Counter-strafing

12.4°Preaim

615msReaction time

27.6%T opening success

51.2%CT opening success

0.56Enemies flashed / flash

10.7%Flash assists

6.67HE damage / grenade

11.83Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.3915° — above the 12° mark we flag
Aim Training →
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 11.8008% — below the 15% mark we flag
Aim Training →

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.

35% win rate across 20 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	3–13	0.01	8%	23 Jul →
inferno	6–13	-0.05	15%	23 Jul →
nuke	8–13	0.01	12%	23 Jul →
cache	6–13	-0.01	10%	21 Jul →
nuke	13–9	-0.00	26%	21 Jul →
ancient	13–5	0.05	10%	21 Jul →
inferno	13–11	0.03	21%	17 Jul →
anubis	16–12	0.03	12%	17 Jul →
inferno	13–11	0.03	16%	9 Jul →
ancient	11–13	0.10	11%	9 Jul →
anubis	13–10	-0.06	2%	3 Jul →
inferno	11–13	-0.08	6%	25 Jun →
mirage	7–13	-0.04	5%	25 Jun →
nuke	13–11	0.04	16%	22 Jun →
anubis	3–13	0.01	6%	22 Jun →
ancient	9–13	-0.01	7%	22 Jun →
inferno	13–4	0.06	15%	21 Jun →
overpass	13–1	-0.02	7%	21 Jun →
nuke	8–13	-0.07	6%	21 Jun →
anubis	10–13	0.07	12%	21 Jun →
anubis	13–11	0.00	13%	18 Jun →
overpass	13–10	0.07	14%	18 Jun →
nuke	16–14	-0.01	14%	16 Jun →
overpass	5–13	0.01	11%	15 Jun →
anubis	10–13	0.02	16%	15 Jun →
nuke	11–13	0.05	13%	15 Jun →
mirage	13–2	0.11	14%	13 Jun →
dust2	13–9	-0.05	9%	13 Jun →
nuke	2–13	-0.14	3%	13 Jun →
inferno	13–6	-0.02	15%	13 Jun →
anubis	9–13	-0.04	7%	13 Jun →
inferno	9–13	-0.07	11%	13 Jun →
nuke	8–13	-0.03	16%	13 Jun →
overpass	13–8	0.02	10%	11 Jun →
inferno	15–15	0.00	8%	11 Jun →
nuke	7–13	-0.06	9%	11 Jun →
ancient	13–5	0.08	22%	10 Jun →
anubis	13–8	0.02	10%	10 Jun →
anubis	11–13	-0.01	12%	5 Jun →
nuke	1–13	-0.14	14%	4 Jun →
ancient	13–6	-0.01	11%	4 Jun →
ancient	13–7	0.03	20%	1 Jun →
nuke	15–15	0.02	21%	1 Jun →
ancient	13–5	0.06	16%	1 Jun →
inferno	10–13	-0.03	11%	31 May →
mirage	10–13	-0.03	22%	31 May →
ancient	13–11	0.02	11%	30 May →
anubis	13–5	0.04	10%	30 May →
inferno	9–13	-0.05	13%	29 May →
ancient	3–13	-0.04	8%	28 May →
anubis	13–3	0.03	16%	28 May →
ancient	13–9	0.01	21%	27 May →
nuke	16–13	-0.01	13%	26 May →
ancient	10–13	-0.03	16%	26 May →
mirage	13–5	-0.01	21%	26 May →
inferno	2–13	0.02	19%	26 May →
ancient	9–13	0.04	14%	26 May →
overpass	13–6	0.04	8%	25 May →
nuke	8–13	0.02	15%	24 May →
overpass	13–8	0.09	24%	24 May →
nuke	13–5	0.07	13%	24 May →
inferno	9–13	-0.05	10%	24 May →
nuke	6–13	-0.02	15%	23 May →
anubis	13–5	0.04	19%	23 May →
inferno	13–8	0.05	17%	23 May →
ancient	13–10	0.05	12%	23 May →
anubis	12–16	0.04	17%	23 May →
anubis	13–11	0.06	10%	22 May →
dust2	6–13	-0.05	16%	22 May →
mirage	11–13	-0.01	15%	22 May →
inferno	13–5	0.03	20%	22 May →
ancient	9–13	-0.02	9%	21 May →
nuke	7–13	-0.02	15%	21 May →
nuke	16–14	-0.00	19%	20 May →
overpass	13–8	-0.01	9%	20 May →
anubis	16–14	0.05	14%	19 May →
inferno	6–13	-0.05	15%	15 May →
anubis	13–16	0.00	14%	15 May →
ancient	13–11	0.02	9%	15 May →
inferno	13–8	0.08	11%	15 May →
anubis	4–13	-0.06	12%	14 May →
mirage	13–9	0.05	14%	14 May →
ancient	10–13	0.05	15%	14 May →
dust2	7–13	-0.03	9%	13 May →
inferno	6–13	-0.04	15%	13 May →
inferno	11–13	0.04	13%	12 May →
nuke	13–2	0.04	22%	12 May →
overpass	11–13	0.01	20%	12 May →
anubis	9–13	0.05	18%	10 May →
mirage	3–13	-0.03	10%	9 May →
nuke	13–10	-0.01	14%	9 May →
inferno	11–13	0.00	14%	9 May →
nuke	7–13	-0.02	10%	9 May →
inferno	8–13	-0.00	13%	6 May →
ancient	13–7	-0.05	9%	6 May →
anubis	13–2	0.05	11%	6 May →
ancient	13–8	0.06	11%	6 May →
nuke	13–4	0.04	7%	5 May →
cache	11–13	-0.06	6%	5 May →
nuke	13–7	0.11	24%	2 May →