Mort — CS2 Stats

76561198039731714[U:1:79465986]Steam profile ↗✓ No bans

2,414Tracked matches59%Win rate2021Tracked since

CSDB Rating5.5 SolidPassive Rifler

Premier CS Rating22,891Top 50% of 819 CSDB-tracked playersPink band · top ~5.3% of ranked players (population est.)

CSDB Leaderboard#5403 of 20540 tracked

FaceitLevel 5 · 879 ELOTop 67.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim71

Positioning40

Utility40

0–100 skill scores via Leetify.

Recent form

STEADY54–45–1Last 10054%Win rateLTLWLWWWWW

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating

Player DNA

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

Aim7.1

Aggression3.5

Utility4.0

Positioning4.0

Opening Duels0.0

Clutch3.8

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 80% 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

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 585ms 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

Aim7.1

Positioning4.0

Utility4.0

Mechanics6.5

Opening Duels0.7

Win Impact7.9

Composite 5.5/10 (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 rating-0.04−0.03

first ⅓ avg -0.01 → last ⅓ avg -0.04

Reaction time583ms−43ms

first ⅓ avg 627ms → last ⅓ avg 583ms

Headshot accuracy18.2%+6.3%

first ⅓ avg 11.9% → last ⅓ avg 18.2%

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 — nuke 13–6

13–0Biggest win — ancient

7Longest win streak

9–9In matches decided by ≤2 rounds

8Overtime games

Map breakdown

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

Map	Grade	Played	Record	Win rate	Avg rating
ancient	A	26	16–10	62%	-0.01
cache	C	25	11–14	44%	-0.04
anubis	A	22	13–9	59%	-0.02
nuke	A	17	10–7	59%	-0.03
inferno	C	7	3–4	43%	-0.05
dust2	—	3	1–2	33%	-0.02

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.

Faceit stats

Combat

933Matches

48%Win rate

0.80Avg K/D

60.1ADR

30%Headshot %

Clutches & streaks

39%1v1 clutch win

18%1v2 clutch win

7Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	151	50%	0.84	13.2
Anubis	129	51%	0.87	12.4
Vertigo	88	47%	0.75	11.8
Nuke	75	51%	0.94	12.0
Inferno	31	45%	0.85	12.4
Dust2	25	36%	0.81	11.7
Train	22	41%	0.90	11.6
Overpass	10	40%	0.64	10.1

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.

17.8%Headshot accuracy

35.5%Accuracy (enemy spotted)

34.5%Spray accuracy

79.1%Counter-strafing

9.1°Preaim

585msReaction time

23.3%T opening success

35.2%CT opening success

0.47Enemies flashed / flash

4.8%Flash assists

7.43HE damage / grenade

6.41Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4674 — below the 0.5 mark we flag
Grenade Lineups →
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 23.262% — 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
dust2	2–13	-0.05	28%	27 Aug →
inferno	15–15	-0.03	18%	26 Aug →
nuke	0–13	-0.03	67%	25 Aug →
inferno	13–9	-0.04	50%	25 Aug →
cache	1–13	-0.10	12%	25 Aug →
anubis	13–8	0.03	38%	24 Aug →
ancient	13–8	-0.05	20%	24 Aug →
ancient	13–6	-0.06	22%	23 Aug →
anubis	16–14	-0.09	12%	23 Aug →
ancient	13–9	-0.06	4%	21 Aug →
cache	7–13	-0.05	42%	21 Aug →
ancient	13–11	-0.05	18%	20 Aug →
nuke	13–10	-0.02	3%	20 Aug →
ancient	13–7	-0.02	13%	19 Aug →
ancient	8–13	-0.07	4%	19 Aug →
cache	10–13	-0.06	15%	18 Aug →
ancient	6–13	-0.04	18%	18 Aug →
ancient	11–13	-0.03	10%	18 Aug →
anubis	11–13	-0.05	11%	17 Aug →
nuke	13–1	-0.09	7%	17 Aug →
anubis	10–13	-0.06	4%	17 Aug →
cache	13–8	-0.05	13%	16 Aug →
cache	13–8	0.08	17%	16 Aug →
anubis	13–9	-0.03	20%	16 Aug →
anubis	13–10	0.01	17%	16 Aug →
nuke	13–8	-0.05	16%	10 Aug →
cache	13–11	-0.05	13%	10 Aug →
cache	13–6	0.00	21%	10 Aug →
inferno	4–13	-0.13	6%	5 Aug →
cache	7–13	-0.07	17%	4 Aug →
ancient	13–11	-0.03	11%	4 Aug →
nuke	13–4	-0.03	8%	4 Aug →
ancient	11–13	-0.04	25%	4 Aug →
anubis	8–13	-0.01	24%	3 Aug →
nuke	13–6	0.08	13%	3 Aug →
dust2	13–6	-0.02	15%	3 Aug →
anubis	2–13	-0.05	5%	3 Aug →
cache	8–13	-0.09	14%	3 Aug →
dust2	10–13	0.02	28%	3 Aug →
cache	10–13	-0.04	5%	2 Aug →
cache	13–11	0.02	12%	2 Aug →
ancient	14–16	0.01	11%	2 Aug →
cache	10–13	-0.00	7%	2 Aug →
ancient	13–8	-0.02	13%	2 Aug →
anubis	13–7	0.00	8%	2 Aug →
nuke	11–13	-0.03	8%	2 Aug →
nuke	10–13	-0.06	12%	1 Aug →
anubis	6–13	-0.03	5%	1 Aug →
anubis	13–8	0.00	20%	1 Aug →
cache	8–13	-0.07	21%	1 Aug →
ancient	6–13	-0.02	10%	1 Aug →
nuke	6–13	-0.06	13%	1 Aug →
anubis	13–10	-0.04	9%	24 Jul →
nuke	2–13	-0.06	15%	24 Jul →
ancient	13–11	0.04	17%	23 Jul →
nuke	13–10	0.01	12%	23 Jul →
inferno	13–11	0.00	27%	23 Jul →
inferno	2–9	-0.21	14%	23 Jul →
ancient	11–13	0.01	11%	22 Jul →
anubis	13–9	-0.04	9%	22 Jul →
cache	13–9	-0.02	10%	22 Jul →
anubis	13–7	0.07	22%	22 Jul →
nuke	13–7	0.01	24%	22 Jul →
nuke	13–8	-0.03	27%	22 Jul →
ancient	13–0	-0.03	14%	22 Jul →
cache	13–4	-0.03	22%	22 Jul →
anubis	8–13	-0.05	16%	20 Jul →
nuke	6–13	-0.02	9%	20 Jul →
cache	11–13	-0.10	6%	20 Jul →
ancient	13–5	0.01	11%	20 Jul →
anubis	14–16	-0.01	12%	20 Jul →
nuke	7–13	-0.04	10%	19 Jul →
ancient	13–6	0.00	15%	19 Jul →
cache	13–16	0.00	19%	19 Jul →
cache	16–12	-0.03	4%	15 Jul →
ancient	13–6	0.02	28%	15 Jul →
anubis	12–16	-0.07	19%	14 Jul →
cache	13–10	-0.03	7%	14 Jul →
ancient	11–13	0.07	17%	14 Jul →
inferno	6–13	-0.02	14%	14 Jul →
ancient	8–13	0.01	11%	13 Jul →
cache	8–13	-0.10	0%	13 Jul →
anubis	13–9	-0.02	11%	12 Jul →
anubis	13–7	0.07	17%	12 Jul →
nuke	13–10	-0.03	7%	12 Jul →
ancient	13–7	0.06	11%	12 Jul →
cache	13–11	0.00	11%	12 Jul →
cache	13–5	-0.04	6%	9 Jul →
cache	9–13	-0.03	4%	9 Jul →
cache	5–13	-0.04	0%	9 Jul →
anubis	13–9	0.02	16%	9 Jul →
ancient	13–10	0.01	19%	9 Jul →
cache	4–13	-0.05	8%	9 Jul →
anubis	13–7	-0.04	6%	2 Jul →
ancient	9–13	0.01	13%	2 Jul →
anubis	12–16	0.02	12%	2 Jul →
ancient	13–8	0.02	21%	1 Jul →
ancient	13–8	-0.06	17%	1 Jul →
inferno	13–6	0.05	17%	1 Jul →
nuke	13–11	-0.08	18%	30 Jun →