Loser — CS2 Stats

US76561198083902383[U:1:123636655]Steam profile ↗

1,204Tracked matches38%Win rate2020Tracked since

CSDB Rating4.7 DevelopingPassive Rifler

FaceitLevel 7Top 42.3% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim61

Positioning42

Utility43

0–100 skill scores via Leetify.

Recent form

STEADY47–49–4Last 10047%Win rateLLWWWLLLWW

Last 10 vs previous 10: +40pp win rate · +0.02 avg rating

Player DNA

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

Aim6.1

Aggression4.3

Utility4.3

Positioning4.2

Opening Duels2.5

Clutch3.2

Strong CT-side opener

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 83% 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

T-side openings. Opening success drops from 49% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 641ms 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

Aim6.1

Positioning4.2

Utility4.3

Mechanics7.1

Opening Duels2.5

Win Impact1.0

Composite 4.7/10 (Developing), 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-0.02−0.02

first ⅓ avg 0.00 → last ⅓ avg -0.02

Reaction time661ms+86ms

first ⅓ avg 575ms → last ⅓ avg 661ms

Headshot accuracy21.6%+3.5%

first ⅓ avg 18.1% → last ⅓ avg 21.6%

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

0.12Best rating — ancient 13–6

13–1Biggest win — mirage

3Longest win streak

L2Current streak

12–6In matches decided by ≤2 rounds

5Overtime games

Map breakdown

mirageBest map · 56% over 27nukeWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	27	15–12	56%	-0.01
dust2	A	20	11–9	55%	-0.01
anubis	C	12	5–7	42%	-0.01
inferno	A	11	6–5	55%	-0.02
ancient	B	10	5–5	50%	0.02
nuke	D	9	3–6	33%	0.00
overpass	—	4	0–4	0%	-0.06
cache	—	3	0–3	0%	-0.01
train	—	2	1–1	50%	-0.05
office	—	1	0–1	0%	-0.01
vertigo	—	1	1–0	100%	0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

356Matches

53%Win rate

1.02Avg K/D

76.1ADR

48%Headshot %

Clutches & streaks

36%1v1 clutch win

13%1v2 clutch win

8Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	54	56%	0.97	14.4
Ancient	53	58%	1.12	15.8
Anubis	40	52%	1.06	17.0
Vertigo	26	62%	1.03	16.8
Dust2	25	48%	0.92	15.1
Inferno	24	33%	0.89	15.3
Nuke	20	60%	0.89	13.9
Overpass	15	53%	1.07	15.7

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.

19.9%Headshot accuracy

31.2%Accuracy (enemy spotted)

31.6%Spray accuracy

81.9%Counter-strafing

9.3°Preaim

641msReaction time

30.6%T opening success

49.1%CT opening success

0.51Enemies flashed / flash

8.7%Flash assists

6.01HE damage / grenade

8.80Flashes / 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 30.5764% — below the 40% mark we flag

Spend your practice time on Nuke

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	2–6	-0.02	44%	14 Jun →
mirage	7–13	-0.03	38%	4 Jun →
mirage	13–5	0.08	12%	31 May →
mirage	13–11	-0.00	14%	27 May →
dust2	13–11	-0.00	24%	26 May →
ancient	10–13	0.00	25%	23 May →
anubis	9–13	-0.01	20%	23 May →
mirage	5–13	-0.10	11%	21 May →
dust2	13–5	0.02	15%	17 May →
dust2	16–14	-0.06	19%	15 May →
dust2	8–13	-0.01	21%	14 May →
dust2	6–8	-0.00	27%	11 May →
anubis	3–13	-0.05	18%	11 May →
mirage	1–13	-0.08	25%	11 May →
cache	2–6	0.05	33%	10 May →
dust2	13–9	0.05	33%	10 May →
overpass	5–13	-0.08	24%	9 May →
dust2	8–13	-0.08	23%	9 May →
dust2	12–12	-0.08	8%	8 May →
mirage	10–13	0.00	6%	8 May →
inferno	13–10	-0.02	9%	7 May →
cache	5–13	-0.04	16%	6 May →
mirage	13–8	0.01	25%	3 May →
cache	11–13	-0.02	18%	29 Apr →
anubis	6–13	-0.02	23%	24 Apr →
mirage	13–10	-0.06	9%	22 Apr →
train	3–13	-0.05	29%	28 Mar →
overpass	5–13	-0.04	20%	16 Mar →
inferno	13–10	0.06	23%	16 Mar →
anubis	13–7	0.08	20%	15 Mar →
dust2	13–7	0.03	26%	15 Mar →
overpass	4–9	-0.07	17%	14 Mar →
nuke	6–13	-0.00	41%	12 Mar →
inferno	16–13	0.00	25%	7 Mar →
inferno	13–5	0.01	43%	7 Mar →
mirage	13–11	0.01	31%	1 Mar →
ancient	4–11	-0.05	17%	16 Feb →
inferno	8–13	-0.01	28%	2 Feb →
nuke	13–6	-0.02	20%	1 Feb →
inferno	0–13	-0.12	7%	18 Jan →
inferno	13–6	-0.01	15%	17 Jan →
office	5–13	-0.01	28%	1 Dec →
overpass	4–13	-0.06	31%	23 Nov →
nuke	13–10	0.09	31%	11 Nov →
dust2	13–7	0.07	28%	11 Nov →
mirage	9–13	-0.08	17%	23 Aug →
ancient	6–13	0.02	38%	16 Aug →
mirage	13–9	0.03	25%	5 Jul →
dust2	2–13	-0.10	20%	21 Apr →
mirage	11–13	0.02	16%	15 Apr →
mirage	13–1	0.01	24%	14 Apr →
nuke	0–6	-0.06	60%	11 Apr →
anubis	3–13	0.04	24%	11 Apr →
anubis	13–7	0.06	39%	6 Apr →
mirage	6–13	-0.04	20%	6 Apr →
dust2	8–13	-0.01	27%	16 Mar →
dust2	13–9	-0.01	31%	15 Mar →
dust2	13–11	0.04	35%	15 Mar →
inferno	5–6	-0.06	20%	10 Mar →
dust2	9–13	0.01	12%	9 Mar →
mirage	12–12	-0.05	31%	7 Mar →
mirage	19–17	0.00	15%	5 Mar →
mirage	8–13	-0.01	29%	5 Mar →
inferno	9–13	-0.04	27%	5 Mar →
mirage	13–5	0.01	25%	5 Mar →
mirage	13–6	0.07	25%	4 Mar →
anubis	5–13	-0.03	16%	2 Mar →
ancient	11–13	0.00	15%	2 Mar →
ancient	13–10	0.01	21%	1 Mar →
inferno	8–13	-0.06	13%	1 Mar →
mirage	13–11	-0.00	15%	1 Mar →
mirage	10–13	-0.06	20%	18 Feb →
ancient	13–8	-0.03	23%	18 Feb →
anubis	16–14	-0.06	20%	5 Feb →
train	13–8	-0.04	10%	3 Feb →
anubis	9–13	-0.04	8%	3 Feb →
dust2	1–13	-0.09	15%	2 Feb →
dust2	13–3	0.06	20%	2 Feb →
dust2	5–13	-0.04	20%	2 Feb →
ancient	5–0	0.08	7%	2 Feb →
mirage	13–11	-0.04	22%	2 Feb →
anubis	13–8	-0.01	18%	2 Feb →
nuke	12–12	0.01	23%	2 Feb →
mirage	11–13	-0.02	9%	1 Feb →
mirage	13–6	0.10	15%	1 Feb →
anubis	13–9	-0.02	11%	1 Feb →
anubis	15–15	-0.02	8%	30 Jan →
ancient	13–6	0.12	26%	29 Jan →
dust2	13–10	-0.05	12%	29 Jan →
mirage	13–11	0.03	21%	29 Jan →
mirage	7–13	-0.03	20%	29 Jan →
nuke	13–7	0.05	37%	29 Jan →
ancient	13–4	0.03	16%	29 Jan →
ancient	9–13	0.06	27%	29 Jan →
vertigo	13–4	0.04	13%	28 Jan →
inferno	13–11	0.06	20%	28 Jan →
dust2	13–11	0.02	27%	28 Jan →
nuke	7–13	0.04	25%	28 Jan →
mirage	13–10	0.01	24%	27 Jan →
nuke	8–13	-0.03	19%	27 Jan →