マシュマロ⛟🖤 — CS2 Stats

76561198824941124[U:1:864675396]Steam profile ↗✓ No bans

1,611Tracked matches53%Win rate2020Tracked since

CSDB Rating6.1 SolidHybrid Rifler

CSDB Leaderboard#51336 of 57088 tracked

FaceitLevel 9 · 2,050 ELOTop 20.7% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

Rating over time

2,050Peak Faceit ELO on CSDB

1Days observed since 2026-08-30

Faceit ELO

At peak — 2,050
Next: 2,500 ELO at 2,500 — 450 to go
Reached: Level 10 · Level 9 · Level 8 · Level 7
Level 10 first seen 2026-08-30
Level 9 first seen 2026-08-30

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

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Performance scores

Aim84

Positioning44

Utility61

0–100 skill scores via Leetify.

Recent form

HOT57–40–3Last 10057%Win rateLWWWWWWLLW

Last 10 vs previous 10: +30pp win rate · +0.00 avg rating

Player DNA

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

Aim8.4

Aggression5.1

Utility6.1

Positioning4.4

Opening Duels2.6

Clutch4.2

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 93% playstyle similarity

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

Where you differ: 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 40 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 52% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.4

Positioning4.4

Utility6.1

Mechanics6.2

Opening Duels2.8

Win Impact6.1

Composite 6.1/10 (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-0.02−0.02

first ⅓ avg 0.01 → last ⅓ avg -0.02

Reaction time511ms−59ms

first ⅓ avg 570ms → last ⅓ avg 511ms

Headshot accuracy17.5%−0.6%

first ⅓ avg 18.0% → last ⅓ avg 17.5%

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

0.19Best rating — dust2 13–6

13–2Biggest win — dust2

6Longest win streak

11–8In matches decided by ≤2 rounds

8Overtime games

Map breakdown

mirageBest map · 86% over 7cacheWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	51	35–16	69%	0.00
ancient	C	20	7–13	35%	-0.02
anubis	B	15	7–8	47%	-0.01
mirage	S	7	6–1	86%	-0.04
cache	D	6	1–5	17%	-0.00
inferno	—	1	1–0	100%	0.00

Across the last 100 tracked matches.

Faceit stats

Combat

1,125Matches

51%Win rate

1.03Avg K/D

80.6ADR

41%Headshot %

Clutches & streaks

41%1v1 clutch win

22%1v2 clutch win

10Longest win streak

Recent Faceit resultsWLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	85	69%	1.11	16.9
Ancient	55	44%	0.98	15.7
Anubis	44	50%	0.98	14.4
Mirage	24	75%	1.27	20.0
Inferno	15	33%	1.03	16.5
Nuke	13	38%	0.82	12.8
Train	5	20%	0.88	14.6
Cache	5	20%	0.94	13.0

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.

17.2%Headshot accuracy

37.6%Accuracy (enemy spotted)

42.1%Spray accuracy

78.0%Counter-strafing

8.2°Preaim

513msReaction time

28.4%T opening success

52.2%CT opening success

0.59Enemies flashed / flash

8.6%Flash assists

8.04HE damage / grenade

6.97Flashes / 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 28.4472% — below the 40% mark we flag

Spend your practice time on Cache

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
anubis	8–13	-0.10	19%	30 Aug →
anubis	13–8	-0.01	16%	30 Aug →
dust2	13–5	0.02	34%	29 Aug →
mirage	13–8	-0.06	15%	29 Aug →
dust2	13–11	-0.02	14%	29 Aug →
mirage	13–11	-0.02	8%	29 Aug →
ancient	13–10	-0.01	17%	28 Aug →
anubis	8–13	0.03	13%	28 Aug →
ancient	16–19	-0.04	21%	28 Aug →
dust2	13–10	-0.00	25%	28 Aug →
ancient	13–11	-0.03	26%	27 Aug →
anubis	13–5	0.04	23%	27 Aug →
dust2	9–13	-0.05	13%	27 Aug →
anubis	13–16	-0.04	14%	27 Aug →
ancient	10–13	-0.04	15%	27 Aug →
mirage	4–13	0.01	21%	26 Aug →
ancient	8–13	-0.02	21%	26 Aug →
anubis	11–13	-0.00	21%	26 Aug →
mirage	13–11	-0.11	10%	25 Aug →
inferno	13–10	0.00	22%	25 Aug →
cache	8–13	-0.05	13%	24 Aug →
ancient	13–4	-0.03	14%	24 Aug →
anubis	13–8	0.04	14%	23 Aug →
dust2	13–5	-0.00	27%	23 Aug →
ancient	11–13	0.02	16%	23 Aug →
mirage	13–11	-0.00	9%	23 Aug →
dust2	2–8	-0.09	17%	21 Aug →
ancient	13–16	-0.06	15%	20 Aug →
cache	9–13	0.01	11%	19 Aug →
anubis	13–5	0.03	14%	19 Aug →
ancient	8–13	0.02	24%	18 Aug →
dust2	19–16	0.01	18%	18 Aug →
dust2	7–13	-0.00	14%	18 Aug →
dust2	13–10	0.04	5%	18 Aug →
ancient	11–13	-0.08	14%	17 Aug →
dust2	10–13	-0.03	20%	17 Aug →
cache	5–13	-0.05	8%	17 Aug →
dust2	13–5	-0.04	31%	16 Aug →
dust2	20–22	-0.01	15%	16 Aug →
ancient	4–13	-0.04	9%	16 Aug →
dust2	13–2	0.05	21%	16 Aug →
dust2	13–7	0.05	18%	16 Aug →
ancient	20–22	-0.03	16%	15 Aug →
anubis	5–13	-0.01	11%	15 Aug →
anubis	13–3	0.05	17%	14 Aug →
anubis	9–13	-0.01	12%	14 Aug →
dust2	13–7	0.02	22%	14 Aug →
dust2	13–6	0.01	13%	14 Aug →
cache	6–13	-0.05	18%	14 Aug →
ancient	7–13	0.02	15%	14 Aug →
cache	13–8	0.14	22%	13 Aug →
mirage	13–5	-0.06	10%	13 Aug →
anubis	11–13	0.03	20%	13 Aug →
dust2	13–7	-0.00	21%	13 Aug →
dust2	6–13	-0.01	7%	13 Aug →
dust2	13–11	-0.02	13%	13 Aug →
dust2	2–13	-0.06	8%	13 Aug →
dust2	13–8	-0.00	15%	12 Aug →
ancient	13–9	0.03	21%	12 Aug →
anubis	13–10	-0.00	17%	12 Aug →
dust2	13–11	-0.00	16%	12 Aug →
ancient	8–13	-0.07	7%	12 Aug →
dust2	13–11	0.01	8%	12 Aug →
ancient	13–5	-0.02	18%	12 Aug →
dust2	11–13	-0.09	21%	12 Aug →
dust2	19–15	-0.04	13%	12 Aug →
ancient	5–13	-0.03	29%	11 Aug →
dust2	7–13	-0.03	17%	11 Aug →
dust2	12–12	-0.05	12%	11 Aug →
dust2	4–13	-0.03	13%	11 Aug →
ancient	13–7	0.02	10%	11 Aug →
ancient	13–5	-0.01	9%	11 Aug →
dust2	13–5	-0.00	15%	11 Aug →
anubis	6–13	-0.07	5%	11 Aug →
ancient	11–13	-0.02	23%	10 Aug →
dust2	16–14	0.01	17%	10 Aug →
cache	3–8	-0.02	18%	10 Aug →
dust2	13–6	0.01	15%	10 Aug →
dust2	13–5	-0.01	15%	10 Aug →
dust2	1–13	-0.03	36%	10 Aug →
dust2	7–13	0.06	23%	10 Aug →
dust2	13–9	-0.02	26%	10 Aug →
dust2	13–7	0.02	24%	10 Aug →
dust2	13–9	-0.01	18%	9 Aug →
dust2	13–8	0.02	21%	9 Aug →
dust2	13–6	-0.03	17%	9 Aug →
dust2	13–3	0.05	19%	9 Aug →
dust2	12–12	-0.02	28%	9 Aug →
dust2	13–4	0.05	13%	9 Aug →
dust2	13–6	0.19	21%	9 Aug →
dust2	13–3	-0.02	9%	9 Aug →
dust2	2–13	-0.05	20%	9 Aug →
dust2	13–7	0.00	24%	9 Aug →
dust2	12–12	0.08	22%	8 Aug →
dust2	13–8	0.06	29%	8 Aug →
dust2	9–1	0.07	12%	7 Aug →
mirage	13–8	0.01	19%	7 Aug →
anubis	13–11	-0.06	4%	7 Aug →
dust2	13–5	0.07	10%	7 Aug →
dust2	13–11	-0.04	30%	7 Aug →