Loner — CS2 Stats

76561198108783133[U:1:148517405]

1,140Tracked matches57%Win rate2020Tracked since

CSDB Rating6.3 SolidHybrid Rifler

Premier CS Rating20,185Pink band · top ~8.3% of ranked players (population est.)

FaceitLevel 5 · 1,074 ELOTop 67.6% of ranked FACEIT players

Ladder ranks via Leetify

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

Aim80

Positioning52

Utility44

0–100 skill scores via Leetify.

Recent form

STEADY54–43–3Last 10054%Win rateTWWLWWLLWW

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

Player DNA

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

Aim8.0

Aggression5.5

Utility4.4

Positioning5.2

Opening Duels1.5

Clutch5.8

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 89% playstyle similarity

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

Where you differ: lower utility contribution.

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

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

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

Aim8.0

Positioning5.2

Utility4.4

Mechanics7.9

Opening Duels1.7

Win Impact7.4

Composite 6.3/10 (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 rating0.02+0.02

first ⅓ avg -0.00 → last ⅓ avg 0.02

Reaction time605ms−34ms

first ⅓ avg 639ms → last ⅓ avg 605ms

Headshot accuracy18.0%+2.5%

first ⅓ avg 15.5% → last ⅓ avg 18.0%

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

0.15Best rating — dust2 13–4

13–1Biggest win — dust2

6Longest win streak

14–9In matches decided by ≤2 rounds

5Overtime games

Map breakdown

cacheBest map · 77% over 13infernoWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	38	20–18	53%	0.02
mirage	A	14	9–5	64%	0.01
cache	S	13	10–3	77%	0.02
anubis	A	9	5–4	56%	0.02
nuke	B	6	3–3	50%	-0.02
ancient	C	5	2–3	40%	-0.01
inferno	D	5	1–4	20%	-0.04
train	—	3	2–1	67%	-0.01
overpass	—	2	1–1	50%	0.04
shelter	—	1	1–0	100%	-0.01
office	—	1	0–1	0%	-0.02
alpine	—	1	0–1	0%	-0.06
italy	—	1	0–1	0%	0.00
vertigo	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

60Matches

50%Win rate

1.00Avg K/D

69.8ADR

37%Headshot %

Clutches & streaks

49%1v1 clutch win

26%1v2 clutch win

6Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	21	62%	1.09	14.2
Dust2	18	44%	0.99	14.2
Inferno	6	33%	0.94	13.2
Ancient	6	100%	1.16	14.5
Overpass	3	33%	0.89	14.7
Nuke	3	0%	0.81	12.0

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.

17.5%Headshot accuracy

37.2%Accuracy (enemy spotted)

36.3%Spray accuracy

85.7%Counter-strafing

7.6°Preaim

603msReaction time

28.8%T opening success

43.5%CT opening success

0.45Enemies flashed / flash

4.4%Flash assists

8.06HE damage / grenade

9.14Flashes / 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.

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 0.4525 — 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 28.783% — 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.

20% win rate across 5 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	12–12	-0.05	17%	27 Aug →
dust2	13–7	0.05	17%	27 Aug →
dust2	13–7	0.05	20%	27 Aug →
anubis	4–13	0.01	24%	27 Aug →
mirage	13–7	0.00	15%	27 Aug →
mirage	13–7	-0.00	16%	27 Aug →
mirage	9–13	-0.02	21%	27 Aug →
mirage	9–13	-0.03	15%	27 Aug →
mirage	12–2	0.13	16%	27 Aug →
mirage	13–11	-0.01	17%	26 Aug →
dust2	7–13	0.05	16%	26 Aug →
dust2	8–13	-0.00	27%	26 Aug →
dust2	13–4	0.07	20%	26 Aug →
dust2	13–11	-0.07	15%	26 Aug →
dust2	2–10	-0.11	17%	26 Aug →
dust2	13–2	0.09	23%	26 Aug →
dust2	10–13	0.07	21%	26 Aug →
ancient	5–13	0.04	21%	22 Aug →
mirage	13–11	0.01	2%	22 Aug →
anubis	6–13	-0.04	10%	22 Aug →
dust2	16–13	0.05	19%	22 Aug →
ancient	11–13	-0.07	7%	22 Aug →
cache	8–13	0.10	14%	17 Aug →
nuke	13–10	-0.01	13%	16 Aug →
train	6–13	-0.09	16%	15 Aug →
train	13–7	-0.01	14%	15 Aug →
dust2	13–5	0.07	28%	15 Aug →
dust2	12–12	0.00	19%	6 Aug →
cache	13–9	0.03	32%	6 Aug →
dust2	13–11	0.10	21%	6 Aug →
dust2	9–13	0.01	18%	6 Aug →
cache	13–11	0.06	24%	2 Aug →
ancient	13–10	0.05	24%	2 Aug →
anubis	10–13	-0.01	11%	2 Aug →
dust2	10–13	0.03	20%	2 Aug →
inferno	2–2	-0.05	0%	2 Aug →
train	13–10	0.07	16%	2 Aug →
anubis	13–9	0.10	17%	2 Aug →
mirage	16–13	0.06	14%	1 Aug →
mirage	13–8	-0.01	9%	1 Aug →
dust2	9–13	-0.00	13%	29 Jul →
cache	13–10	0.02	16%	29 Jul →
cache	13–8	-0.00	21%	29 Jul →
dust2	1–9	0.01	32%	29 Jul →
anubis	13–11	-0.04	14%	28 Jul →
dust2	11–13	-0.07	16%	28 Jul →
dust2	13–8	-0.03	15%	28 Jul →
dust2	13–1	0.06	27%	28 Jul →
dust2	13–4	0.15	13%	28 Jul →
anubis	13–7	0.11	20%	24 Jul →
dust2	13–11	0.02	15%	20 Jul →
anubis	13–7	-0.02	32%	20 Jul →
mirage	11–13	0.04	11%	20 Jul →
cache	13–11	0.05	20%	20 Jul →
dust2	13–2	0.07	31%	20 Jul →
dust2	13–10	0.01	33%	20 Jul →
dust2	11–13	0.05	14%	20 Jul →
dust2	13–3	0.06	34%	18 Jul →
dust2	4–13	-0.04	32%	18 Jul →
mirage	13–8	-0.06	11%	18 Jul →
ancient	6–13	-0.08	11%	15 Jul →
dust2	0–13	-0.05	21%	15 Jul →
dust2	13–3	0.05	17%	15 Jul →
nuke	10–13	-0.06	22%	15 Jul →
dust2	7–13	-0.02	24%	15 Jul →
mirage	13–7	0.06	5%	15 Jul →
inferno	4–13	-0.04	24%	14 Jul →
cache	16–14	0.03	10%	14 Jul →
anubis	13–8	-0.01	21%	14 Jul →
cache	13–8	0.03	10%	14 Jul →
dust2	13–7	-0.02	24%	14 Jul →
cache	3–13	-0.06	10%	12 Jul →
dust2	13–9	0.02	15%	12 Jul →
cache	13–11	0.00	9%	11 Jul →
anubis	14–16	0.05	18%	11 Jul →
nuke	13–11	-0.02	11%	10 Jul →
nuke	13–11	-0.05	10%	10 Jul →
shelter	13–8	-0.01	2%	10 Jul →
cache	9–13	-0.04	21%	6 Jul →
overpass	13–1	0.12	9%	6 Jul →
mirage	11–13	-0.00	9%	6 Jul →
inferno	5–13	-0.05	10%	6 Jul →
ancient	13–11	0.02	23%	6 Jul →
mirage	15–15	0.03	16%	5 Jul →
inferno	9–13	-0.07	10%	5 Jul →
office	5–13	-0.02	17%	5 Jul →
overpass	11–13	-0.04	21%	4 Jul →
nuke	9–13	-0.04	15%	4 Jul →
alpine	7–13	-0.06	22%	3 Jul →
italy	4–13	0.00	9%	3 Jul →
inferno	13–7	-0.02	15%	3 Jul →
cache	13–6	0.08	19%	3 Jul →
nuke	11–13	0.03	15%	1 Jul →
dust2	2–13	0.01	20%	1 Jul →
cache	13–8	-0.05	15%	1 Jul →
dust2	3–13	-0.03	31%	17 Jun →
dust2	13–3	0.08	28%	17 Jun →
dust2	5–13	-0.06	19%	17 Jun →
dust2	13–11	0.05	20%	16 Jun →
vertigo	8–13	0.01	10%	15 Jun →