humble genuine friendly gamer — CS2 Stats

76561198067211929[U:1:106946201]

517Tracked matches45%Win rate2020Tracked since

CSDB Rating6.3 SolidPassive Rifler

Premier CS Rating24,399Top 50% of 819 CSDB-tracked playersPink band · top ~3.7% of ranked players (population est.)

FaceitLevel 3Top 90.6% 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

Aim93

Positioning52

Utility43

0–100 skill scores via Leetify.

Recent form

STEADY44–54–2Last 10044%Win rateLLLWWLWLWW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating

Player DNA

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

Aim9.3

Aggression3.8

Utility4.3

Positioning5.2

Opening Duels0.7

Clutch4.6

Sharp aimerExcellent counter-strafing

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 90% playstyle similarity

Most alike: aim profile, positioning profile.

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

Strengths

Aim. Aim score of 93 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 41 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. 589ms 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

Aim9.3

Positioning5.2

Utility4.3

Mechanics8.7

Opening Duels0.7

Win Impact3.3

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 rating0.02−0.01

first ⅓ avg 0.03 → last ⅓ avg 0.02

Reaction time590ms−28ms

first ⅓ avg 618ms → last ⅓ avg 590ms

Headshot accuracy24.1%−2.0%

first ⅓ avg 26.1% → last ⅓ avg 24.1%

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

0.28Best rating — inferno 13–7

13–1Biggest win — cache

6Longest win streak

L3Current streak

8–7In matches decided by ≤2 rounds

7Overtime games

Map breakdown

cacheBest map · 78% over 9mirageWeakest map · 34% over 35

Map	Grade	Played	Record	Win rate	Avg rating
mirage	D	35	12–23	34%	0.04
dust2	B	22	10–12	45%	0.03
inferno	B	14	7–7	50%	0.06
cache	S	9	7–2	78%	0.07
ancient	C	8	3–5	38%	0.02
nuke	C	7	3–4	43%	0.05
overpass	—	3	2–1	67%	0.04
vertigo	—	1	0–1	0%	0.17
anubis	—	1	0–1	0%	-0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (34% over 35). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

16Matches

69%Win rate

2.55Avg K/D

121.9ADR

53%Headshot %

Clutches & streaks

43%1v1 clutch win

67%1v2 clutch win

4Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	4	75%	4.20	20.3
Inferno	2	50%	2.12	17.0
Dust2	1	100%	3.18	35.0

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.

21.0%Headshot accuracy

42.2%Accuracy (enemy spotted)

44.3%Spray accuracy

89.2%Counter-strafing

7.2°Preaim

589msReaction time

29.6%T opening success

36.0%CT opening success

0.48Enemies flashed / flash

4.7%Flash assists

9.54HE damage / grenade

7.47Flashes / 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 0.485 — 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 29.6298% — 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.

34% win rate across 35 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
mirage	3–13	0.02	24%	28 Aug →
cache	2–13	0.02	14%	24 Aug →
mirage	9–13	0.05	29%	23 Aug →
dust2	13–9	0.10	26%	22 Aug →
dust2	13–11	0.06	19%	21 Aug →
inferno	1–7	-0.07	22%	11 Aug →
inferno	3–0	-0.05	100%	11 Aug →
nuke	6–13	0.05	28%	8 Aug →
mirage	13–7	-0.04	7%	7 Aug →
dust2	13–5	0.06	15%	7 Aug →
dust2	6–13	-0.04	18%	7 Aug →
inferno	13–10	0.07	23%	7 Aug →
mirage	9–13	0.03	14%	5 Aug →
cache	8–13	0.04	25%	5 Aug →
cache	13–8	-0.02	13%	5 Aug →
mirage	7–13	0.02	31%	4 Aug →
cache	16–13	0.01	19%	3 Aug →
mirage	15–15	-0.04	19%	2 Aug →
dust2	10–13	0.11	14%	1 Aug →
mirage	3–13	-0.05	20%	1 Aug →
cache	13–8	0.13	20%	1 Aug →
dust2	4–13	-0.06	17%	1 Aug →
inferno	11–13	0.01	14%	31 Jul →
mirage	2–0	0.08	13%	31 Jul →
mirage	13–10	-0.01	21%	31 Jul →
mirage	13–11	0.05	29%	31 Jul →
cache	13–1	0.06	32%	31 Jul →
mirage	7–13	0.03	29%	30 Jul →
inferno	11–13	0.03	19%	29 Jul →
mirage	5–13	0.05	23%	29 Jul →
cache	13–5	0.00	46%	29 Jul →
nuke	3–13	-0.00	32%	28 Jul →
dust2	10–13	0.03	21%	28 Jul →
mirage	6–13	-0.01	30%	28 Jul →
inferno	11–13	0.01	25%	27 Jul →
dust2	3–13	-0.05	14%	26 Jul →
dust2	13–6	0.10	18%	26 Jul →
inferno	13–7	0.28	26%	26 Jul →
mirage	13–4	0.00	17%	26 Jul →
ancient	13–9	0.02	20%	23 Jul →
dust2	13–5	0.13	30%	21 Jul →
mirage	13–7	0.01	20%	21 Jul →
ancient	11–13	0.13	26%	21 Jul →
ancient	13–11	0.07	29%	19 Jul →
inferno	13–5	0.12	30%	26 May →
mirage	6–13	-0.03	28%	26 May →
mirage	7–13	0.02	21%	19 May →
mirage	3–13	0.09	38%	19 May →
nuke	10–13	0.02	31%	17 May →
nuke	6–13	0.11	42%	15 May →
inferno	13–7	0.09	45%	13 May →
ancient	13–11	0.06	21%	12 May →
dust2	3–0	0.00	100%	12 May →
mirage	7–13	0.10	46%	11 May →
mirage	10–13	0.12	20%	11 May →
mirage	9–13	0.01	16%	3 May →
cache	13–7	0.17	36%	1 May →
cache	13–6	0.24	29%	1 May →
ancient	6–13	0.01	19%	29 Apr →
inferno	13–11	0.09	24%	29 Apr →
mirage	13–7	0.09	32%	28 Apr →
nuke	13–2	0.09	40%	28 Apr →
inferno	13–16	0.14	44%	28 Apr →
dust2	13–9	0.04	22%	28 Apr →
overpass	13–9	0.15	27%	27 Apr →
mirage	16–13	0.11	32%	27 Apr →
nuke	13–5	0.08	25%	27 Apr →
dust2	8–13	0.05	20%	26 Apr →
mirage	13–1	0.13	25%	26 Apr →
mirage	12–16	0.04	26%	25 Apr →
mirage	9–13	-0.03	25%	24 Apr →
dust2	8–13	0.10	38%	23 Apr →
mirage	15–15	0.08	45%	23 Apr →
mirage	13–5	0.23	63%	23 Apr →
overpass	5–13	-0.06	20%	22 Apr →
vertigo	6–13	0.17	42%	13 Apr →
mirage	5–13	-0.01	26%	12 Apr →
inferno	11–13	0.05	41%	10 Apr →
anubis	4–13	-0.04	22%	12 Feb →
ancient	9–13	0.01	29%	11 Feb →
ancient	6–13	-0.05	14%	2 Feb →
dust2	7–13	0.03	37%	2 Feb →
mirage	13–10	0.09	23%	31 Jan →
mirage	6–13	0.05	33%	29 Jan →
mirage	8–13	-0.04	19%	12 Jan →
dust2	10–13	-0.04	17%	11 Jan →
mirage	11–13	0.07	22%	9 Jan →
mirage	10–13	0.00	14%	9 Jan →
dust2	13–4	0.08	29%	9 Jan →
inferno	3–7	0.07	38%	8 Jan →
nuke	12–5	-0.01	21%	8 Jan →
dust2	3–13	-0.01	29%	8 Jan →
mirage	13–4	-0.01	17%	8 Jan →
overpass	13–4	0.03	8%	8 Jan →
inferno	16–14	-0.02	13%	8 Jan →
dust2	11–13	0.05	19%	8 Jan →
dust2	13–11	0.02	21%	8 Jan →
ancient	10–13	-0.05	11%	7 Jan →
dust2	10–13	-0.03	24%	7 Jan →
dust2	13–9	0.03	31%	7 Jan →