Mortis — CS2 Stats

US76561198172391141[U:1:212125413]Steam profile ↗✓ No bans

403Tracked matches50%Win rate2021Tracked since

1,393Hours in CS7Hrs last 2 wks

CSDB Rating5.6 SolidPassive Rifler

Premier CS Rating15,902Purple band · top ~24.8% of ranked players (population est.)

CSDB Leaderboard#12635 of 20687 tracked

FaceitLevel 6Top 54.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim73

Positioning37

Utility56

0–100 skill scores via Leetify.

Recent form

COLD47–50–3Last 10047%Win rateLWLWLLLWLL

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

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

Aim7.3

Aggression4.2

Utility5.6

Positioning3.7

Opening Duels0.9

Strong 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 86% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower aim profile; 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

Areas to improve

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

T-side openings. Opening success drops from 42% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 646ms 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

Aim7.3

Positioning3.7

Utility5.6

Mechanics8.1

Opening Duels1.5

Win Impact5.0

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-0.02−0.01

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time628ms−88ms

first ⅓ avg 716ms → last ⅓ avg 628ms

Headshot accuracy22.0%−0.6%

first ⅓ avg 22.6% → last ⅓ avg 22.0%

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

0.08Best rating — ancient 13–9

13–1Biggest win — dust2

4Longest win streak

10–5In matches decided by ≤2 rounds

4Overtime games

Map breakdown

infernoBest map · 73% over 11mirageWeakest map · 20% over 15

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	40	22–18	55%	-0.02
mirage	D	15	3–12	20%	-0.04
cache	D	13	4–9	31%	-0.03
inferno	S	11	8–3	73%	-0.01
ancient	A	7	4–3	57%	0.02
anubis	—	3	2–1	67%	-0.02
vertigo	—	3	1–2	33%	-0.06
nuke	—	3	2–1	67%	-0.02
overpass	—	2	1–1	50%	-0.05
train	—	2	0–2	0%	-0.02
golden	—	1	0–1	0%	0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (20% over 15). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

34,924Lifetime kills

0.84K/D

2,066Matches

41.8%Match win rate

43.5%Headshot %

16.9%Shot accuracy · Top 25% of tracked players

2,857MVPs

698Hours (in match)

1,474Bombs planted

274Bombs defused

Most-used weapons

AK-4710,415

M4A4 / M4A1-S5,698

AWP3,529

P2000 / USP-S2,875

Glock-181,557

Desert Eagle1,210

SSG 08995

P90734

Galil AR664

P250563

Lifetime map wins

5,923dust2

1,030inferno

443vertigo

427nuke

62office

48cbble

45lake

41train

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

Faceit stats

Combat

9Matches

33%Win rate

1.01Avg K/D

—ADR

46%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

2Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	2	50%	0.70	11.5
Overpass	1	0%	1.29	22.0
Anubis	1	0%	0.40	2.0

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.

22.2%Headshot accuracy

35.7%Accuracy (enemy spotted)

34.6%Spray accuracy

86.6%Counter-strafing

10.3°Preaim

646msReaction time

25.7%T opening success

41.8%CT opening success

0.72Enemies flashed / flash

5.5%Flash assists

7.54HE damage / grenade

12.82Flashes / 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 25.7398% — below the 40% mark we flag

Spend your practice time on Mirage

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

20% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	7–13	-0.08	28%	28 Aug →
anubis	13–7	-0.01	17%	24 Aug →
cache	4–13	-0.10	21%	21 Aug →
dust2	13–5	-0.04	38%	21 Aug →
dust2	10–13	-0.03	28%	16 Aug →
mirage	8–13	-0.05	50%	16 Aug →
anubis	3–13	-0.05	8%	14 Aug →
ancient	13–9	0.08	18%	13 Aug →
dust2	11–13	-0.03	12%	11 Aug →
cache	6–13	-0.04	9%	4 Aug →
ancient	13–11	0.05	24%	4 Aug →
dust2	8–13	-0.02	8%	3 Aug →
mirage	13–8	-0.02	14%	2 Aug →
ancient	4–13	-0.08	30%	28 Jul →
dust2	13–6	-0.01	29%	28 Jul →
inferno	8–13	-0.04	12%	27 Jul →
cache	4–13	-0.04	33%	27 Jul →
cache	6–13	-0.01	34%	24 Jul →
dust2	13–11	-0.02	13%	23 Jul →
inferno	16–14	0.02	23%	22 Jul →
inferno	13–16	-0.02	26%	20 Jul →
inferno	13–10	0.08	24%	20 Jul →
dust2	13–9	-0.04	23%	19 Jul →
mirage	6–13	-0.07	14%	19 Jul →
cache	13–11	-0.03	8%	19 Jul →
dust2	12–16	-0.03	15%	15 Jul →
mirage	13–8	0.04	48%	15 Jul →
cache	13–6	0.06	23%	13 Jul →
dust2	13–7	-0.09	22%	13 Jul →
vertigo	13–9	-0.07	19%	8 Jul →
mirage	5–13	-0.10	29%	8 Jul →
dust2	1–13	-0.02	25%	7 Jul →
anubis	2–0	0.00	0%	7 Jul →
cache	9–13	-0.09	44%	6 Jul →
vertigo	1–13	-0.06	25%	5 Jul →
dust2	13–4	0.05	34%	5 Jul →
ancient	7–13	-0.03	24%	5 Jul →
mirage	11–13	-0.02	13%	3 Jul →
dust2	7–13	-0.01	24%	25 Jun →
dust2	13–1	0.03	23%	18 Jun →
cache	5–13	0.02	29%	16 Jun →
cache	13–4	-0.03	32%	6 May →
cache	10–13	-0.02	22%	5 May →
cache	2–13	-0.03	23%	4 May →
cache	9–13	-0.02	8%	1 May →
cache	13–6	-0.07	11%	29 Apr →
overpass	11–13	-0.07	26%	3 Apr →
dust2	13–10	-0.05	19%	17 Mar →
dust2	13–2	-0.04	33%	13 Mar →
dust2	6–13	0.04	27%	8 Mar →
inferno	13–11	-0.01	22%	8 Feb →
mirage	4–13	-0.05	31%	6 Feb →
inferno	13–9	-0.07	8%	21 Nov →
dust2	13–8	-0.07	14%	20 Nov →
dust2	9–13	0.03	25%	17 Nov →
golden	12–12	0.06	19%	17 Nov →
dust2	13–6	-0.02	19%	13 Nov →
mirage	9–13	-0.03	29%	12 Nov →
mirage	10–13	0.01	25%	11 Nov →
dust2	10–13	0.02	25%	9 Nov →
dust2	13–9	0.01	21%	8 Nov →
dust2	13–5	0.03	39%	8 Nov →
vertigo	10–13	-0.07	10%	6 Nov →
dust2	5–13	-0.06	43%	5 Nov →
dust2	9–13	-0.04	18%	5 Nov →
inferno	13–8	-0.01	16%	31 Oct →
dust2	9–13	-0.05	18%	15 Oct →
dust2	13–6	-0.05	16%	8 Oct →
nuke	10–13	0.00	26%	28 Sept →
dust2	12–12	0.04	17%	28 Sept →
inferno	10–2	-0.02	22%	15 Sept →
ancient	13–8	0.06	33%	29 Jul →
overpass	13–11	-0.03	17%	27 Jul →
dust2	13–5	-0.01	23%	24 Jul →
mirage	9–13	-0.06	29%	20 Jul →
mirage	5–13	-0.03	24%	18 Jul →
dust2	13–7	-0.02	35%	8 Jul →
dust2	13–9	0.05	25%	8 Jul →
mirage	5–13	-0.06	18%	7 Jul →
dust2	13–8	0.00	31%	6 Jul →
mirage	9–13	0.00	17%	25 Jun →
dust2	13–11	-0.02	38%	24 Jun →
inferno	13–11	-0.00	38%	24 Jun →
mirage	13–6	-0.05	20%	24 Jun →
dust2	13–11	-0.00	24%	23 Jun →
dust2	6–13	-0.01	39%	19 Jun →
dust2	13–8	-0.01	24%	18 Jun →
dust2	12–12	-0.01	33%	17 Jun →
nuke	13–3	-0.03	29%	17 Jun →
inferno	9–13	-0.02	8%	13 Jun →
ancient	13–4	0.07	10%	13 Jun →
mirage	10–13	-0.05	24%	11 Jun →
dust2	2–13	-0.08	14%	9 Jun →
train	11–13	-0.02	16%	9 Jun →
dust2	7–13	-0.04	16%	8 Jun →
nuke	13–4	-0.03	17%	8 Jun →
inferno	13–6	-0.04	13%	8 Jun →
train	8–13	-0.03	16%	7 Jun →
dust2	13–5	0.02	20%	7 Jun →
ancient	14–16	0.01	13%	7 Jun →