Mattsplot — CS2 Stats

76561198057949964[U:1:97684236]✓ No bans

1,406Tracked matches38%Win rate2020Tracked since

CSDB Rating4.8 DevelopingPassive Rifler

Premier CS Rating21,271Top 50% of 17,162 CSDB-tracked playersPink band · top ~7.1% of ranked players (population est.)

CSDB Leaderboard#8044 of 22624 tracked

FaceitLevel 6Top 54.0% of ranked FACEIT players

WingmanMaster Guardian I

Ladder ranks via Leetify

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Performance scores

Aim69

Positioning29

Utility53

0–100 skill scores via Leetify.

Recent form

COLD49–49–2Last 10049%Win rateWLLLLLLLLW

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.

Aim6.9

Aggression0.1

Utility5.3

Positioning2.9

Opening Duels0.0

Clutch4.0

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 73% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; lower opening-fight frequency.

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 39 points — deaths here waste a strong aim profile.

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

Aim6.9

Positioning2.9

Utility5.3

Mechanics8.0

Opening Duels0.0

Win Impact1.0

Composite 4.8/10 (Developing), 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 rating0.00+0.01

first ⅓ avg -0.01 → last ⅓ avg 0.00

Reaction time546ms−44ms

first ⅓ avg 590ms → last ⅓ avg 546ms

Headshot accuracy15.6%−0.8%

first ⅓ avg 16.4% → last ⅓ avg 15.6%

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

0.38Best rating — inferno 9–0

13–0Biggest win — inferno

10Longest win streak

8–7In matches decided by ≤2 rounds

11Overtime games

Map breakdown

infernoBest map · 79% over 19cacheWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	24	10–14	42%	-0.00
inferno	S	19	15–4	79%	0.04
ancient	D	13	4–9	31%	-0.01
dust2	A	13	8–5	62%	-0.00
anubis	B	12	6–6	50%	-0.01
cache	D	8	2–6	25%	0.01
nuke	D	7	2–5	29%	-0.00
train	—	2	2–0	100%	0.06
debris	—	1	0–1	0%	-0.05
vertigo	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Faceit stats

Combat

898Matches

48%Win rate

1.21Avg K/D

73.0ADR

39%Headshot %

Clutches & streaks

40%1v1 clutch win

21%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	89	45%	0.95	12.8
Ancient	55	49%	1.08	15.3
Anubis	51	51%	1.22	15.4
Inferno	45	60%	1.22	14.9
Dust2	42	43%	1.04	14.7
Vertigo	22	41%	0.98	13.9
Cache	20	60%	1.27	15.8
Nuke	11	55%	0.91	13.6

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.

14.7%Headshot accuracy

33.9%Accuracy (enemy spotted)

34.7%Spray accuracy

85.9%Counter-strafing

10.6°Preaim

543msReaction time

19.1%T opening success

12.2%CT opening success

0.55Enemies flashed / flash

5.6%Flash assists

7.20HE damage / grenade

10.23Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.7132% — below the 15% mark we flag
Aim Training →
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 19.0893% — 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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
inferno	9–2	0.21	12%	26 Aug →
cache	2–13	-0.06	10%	26 Aug →
nuke	10–13	-0.00	4%	25 Aug →
anubis	10–13	0.02	10%	24 Aug →
mirage	5–13	-0.09	17%	24 Aug →
ancient	11–13	-0.04	10%	24 Aug →
ancient	6–13	-0.02	23%	23 Aug →
ancient	8–13	-0.05	12%	22 Aug →
ancient	5–13	-0.05	16%	22 Aug →
inferno	13–9	0.04	16%	22 Aug →
mirage	8–13	0.00	17%	22 Aug →
mirage	15–15	-0.02	13%	21 Aug →
inferno	13–11	0.01	18%	21 Aug →
ancient	13–3	0.02	16%	21 Aug →
mirage	2–13	-0.08	11%	20 Aug →
inferno	16–13	0.02	14%	19 Aug →
mirage	8–13	-0.05	22%	19 Aug →
anubis	8–13	-0.02	10%	19 Aug →
anubis	13–8	0.01	19%	19 Aug →
mirage	3–13	0.04	12%	19 Aug →
mirage	7–2	0.03	50%	19 Aug →
nuke	4–13	-0.06	5%	19 Aug →
dust2	13–8	0.04	15%	19 Aug →
cache	11–13	-0.04	17%	18 Aug →
nuke	13–10	0.04	20%	18 Aug →
inferno	9–0	0.38	18%	18 Aug →
mirage	13–7	0.07	10%	18 Aug →
debris	4–9	-0.05	26%	17 Aug →
nuke	9–13	-0.03	11%	17 Aug →
inferno	13–7	0.03	24%	17 Aug →
dust2	16–13	-0.05	17%	17 Aug →
mirage	8–13	-0.02	9%	17 Aug →
anubis	10–13	-0.09	13%	17 Aug →
anubis	13–10	-0.00	24%	17 Aug →
ancient	4–13	0.01	47%	17 Aug →
mirage	13–8	0.04	32%	17 Aug →
inferno	13–7	0.02	17%	17 Aug →
mirage	13–10	0.09	25%	17 Aug →
train	13–3	0.05	21%	16 Aug →
inferno	10–13	-0.00	24%	16 Aug →
anubis	19–15	0.05	22%	15 Aug →
mirage	8–13	-0.06	25%	15 Aug →
inferno	13–8	-0.01	15%	15 Aug →
nuke	16–14	0.03	13%	15 Aug →
ancient	10–13	-0.01	14%	15 Aug →
dust2	13–4	-0.02	14%	15 Aug →
inferno	13–8	-0.03	8%	15 Aug →
ancient	9–13	0.04	7%	15 Aug →
inferno	13–3	-0.02	18%	15 Aug →
dust2	13–9	0.04	18%	15 Aug →
mirage	13–6	0.01	16%	15 Aug →
anubis	7–13	-0.04	9%	15 Aug →
cache	13–8	0.07	29%	15 Aug →
ancient	16–12	0.03	19%	14 Aug →
inferno	19–17	0.04	18%	14 Aug →
dust2	13–6	-0.01	15%	14 Aug →
cache	19–17	0.06	19%	13 Aug →
ancient	13–11	-0.06	3%	13 Aug →
dust2	16–13	0.06	35%	13 Aug →
dust2	16–14	0.01	25%	13 Aug →
train	13–8	0.06	21%	12 Aug →
mirage	13–5	0.01	19%	12 Aug →
cache	8–13	0.10	20%	12 Aug →
dust2	13–8	-0.01	17%	12 Aug →
mirage	11–13	0.05	23%	12 Aug →
inferno	13–10	0.06	15%	11 Aug →
mirage	13–11	0.01	22%	11 Aug →
cache	7–13	0.04	16%	11 Aug →
ancient	4–13	-0.02	31%	11 Aug →
mirage	7–13	-0.01	11%	10 Aug →
inferno	8–8	-0.04	18%	8 Aug →
vertigo	14–16	-0.02	12%	6 Aug →
mirage	6–13	-0.05	44%	6 Aug →
anubis	13–6	-0.01	27%	6 Aug →
cache	7–13	-0.05	19%	5 Aug →
cache	9–13	-0.03	18%	5 Aug →
dust2	9–13	-0.04	10%	5 Aug →
inferno	11–6	0.07	16%	4 Aug →
nuke	6–13	-0.01	19%	4 Aug →
mirage	8–13	-0.02	7%	4 Aug →
dust2	8–13	-0.07	19%	4 Aug →
inferno	10–13	0.06	14%	4 Aug →
inferno	13–0	0.01	22%	3 Aug →
anubis	4–13	-0.06	28%	3 Aug →
dust2	8–13	-0.05	15%	2 Aug →
inferno	2–13	-0.05	18%	2 Aug →
mirage	6–13	-0.01	12%	2 Aug →
ancient	9–13	0.03	17%	2 Aug →
mirage	13–9	-0.08	8%	2 Aug →
dust2	4–13	-0.01	16%	2 Aug →
inferno	13–4	0.00	8%	2 Aug →
mirage	13–1	0.06	13%	2 Aug →
nuke	11–13	0.03	12%	2 Aug →
anubis	13–10	0.06	11%	1 Aug →
anubis	13–10	-0.06	14%	1 Aug →
dust2	11–13	0.09	21%	31 Jul →
mirage	13–9	0.06	13%	31 Jul →
mirage	7–13	-0.02	8%	30 Jul →
anubis	11–13	-0.03	17%	30 Jul →
ancient	13–11	0.03	9%	30 Jul →