MartiNéz [#24] — CS2 Stats

76561198018492016[U:1:58226288]✓ No bans

3,385Tracked matches50%Win rate2020Tracked since

CSDB Rating6.2 SolidAggressive Rifler

Premier CS Rating18,874Purple band · top ~13% of ranked players (population est.)

CSDB Leaderboard#19943 of 44122 tracked

WingmanMaster Guardian Elite

Ladder ranks via Leetify

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Performance scores

Aim81

Positioning55

Utility56

0–100 skill scores via Leetify.

Recent form

STEADY45–50–5Last 10045%Win rateLLWLWWLWLL

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

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.1

Aggression7.1

Utility5.6

Positioning5.5

Opening Duels4.0

Clutch4.0

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 ropz 93% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: 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

Preaim. Mechanical aim is strong but the crosshair sits 10.7° off target when enemies appear — placement, not flicking, is the bigger win available.

T-side openings. Opening success drops from 55% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 561ms 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

Aim8.1

Positioning5.5

Utility5.6

Mechanics5.9

Opening Duels4.0

Win Impact5.0

Composite 6.2/10 (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 rating0.01+0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time559ms−89ms

first ⅓ avg 648ms → last ⅓ avg 559ms

Headshot accuracy20.5%−1.2%

first ⅓ avg 21.7% → last ⅓ avg 20.5%

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

0.15Best rating — ancient 13–4

13–2Biggest win — anubis

5Longest win streak

L2Current streak

6–6In matches decided by ≤2 rounds

5Overtime games

Map breakdown

mirageBest map · 67% over 18cacheWeakest map · 20% over 10

Map	Grade	Played	Record	Win rate	Avg rating
ancient	C	25	10–15	40%	0.01
mirage	S	18	12–6	67%	-0.00
inferno	D	14	4–10	29%	0.01
cache	D	10	2–8	20%	0.01
dust2	B	10	5–5	50%	-0.02
anubis	A	9	5–4	56%	0.00
nuke	A	9	5–4	56%	-0.00
train	—	2	2–0	100%	0.04
fachwerk	—	1	0–1	0%	0.05
boulder	—	1	0–1	0%	-0.05
overpass	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

Faceit stats

Combat

3,275Matches

50%Win rate

0.94Avg K/D

72.3ADR

46%Headshot %

Clutches & streaks

40%1v1 clutch win

20%1v2 clutch win

14Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	279	52%	0.94	14.7
Anubis	205	54%	0.88	13.9
Inferno	158	54%	0.98	14.9
Mirage	153	46%	0.88	14.0
Dust2	65	40%	0.88	14.1
Nuke	64	39%	0.89	15.0
Overpass	46	50%	0.89	14.0
Vertigo	21	38%	0.90	15.0

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

39.5%Accuracy (enemy spotted)

43.4%Spray accuracy

76.5%Counter-strafing

10.7°Preaim

561msReaction time

36.7%T opening success

55.0%CT opening success

0.60Enemies flashed / flash

7.3%Flash assists

10.98HE damage / grenade

7.02Flashes / 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 36.7362% — 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.

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
cache	9–13	-0.09	25%	27 Aug →
cache	7–13	0.01	23%	25 Aug →
mirage	13–8	-0.00	22%	25 Aug →
mirage	6–13	0.01	18%	25 Aug →
mirage	13–11	0.06	30%	24 Aug →
cache	13–9	0.11	36%	24 Aug →
ancient	11–13	0.04	19%	24 Aug →
mirage	13–8	-0.02	16%	19 Aug →
ancient	10–13	-0.00	14%	17 Aug →
ancient	9–13	-0.07	31%	14 Aug →
mirage	13–9	0.01	18%	14 Aug →
inferno	9–2	0.06	11%	14 Aug →
ancient	3–13	-0.01	17%	14 Aug →
anubis	10–13	-0.02	13%	14 Aug →
train	13–8	0.04	23%	14 Aug →
mirage	13–4	0.07	22%	14 Aug →
anubis	13–6	0.01	18%	13 Aug →
cache	12–12	-0.05	8%	13 Aug →
inferno	12–12	0.01	23%	13 Aug →
train	13–5	0.05	20%	13 Aug →
nuke	11–13	-0.00	25%	10 Aug →
mirage	13–4	0.03	25%	6 Aug →
mirage	8–13	-0.02	26%	6 Aug →
inferno	1–13	-0.09	25%	31 Jul →
ancient	7–13	-0.04	26%	31 Jul →
dust2	13–6	0.00	14%	31 Jul →
inferno	13–16	0.08	24%	31 Jul →
ancient	13–10	0.04	20%	31 Jul →
mirage	13–10	0.02	21%	30 Jul →
anubis	6–13	0.03	16%	30 Jul →
inferno	13–4	-0.01	16%	29 Jul →
nuke	5–13	0.06	19%	29 Jul →
ancient	13–8	0.06	17%	29 Jul →
ancient	4–13	-0.03	17%	29 Jul →
ancient	9–13	0.03	21%	28 Jul →
anubis	13–2	-0.04	4%	28 Jul →
mirage	4–3	-0.09	29%	28 Jul →
cache	13–10	0.06	26%	28 Jul →
dust2	13–2	0.05	23%	28 Jul →
ancient	13–3	0.07	22%	26 Jul →
inferno	12–12	0.04	19%	26 Jul →
inferno	10–13	-0.03	33%	25 Jul →
dust2	10–13	-0.04	9%	25 Jul →
dust2	7–3	-0.10	0%	25 Jul →
cache	12–12	0.01	21%	25 Jul →
ancient	13–3	0.02	13%	23 Jul →
ancient	9–13	-0.00	21%	23 Jul →
mirage	13–10	0.02	18%	23 Jul →
nuke	6–13	0.00	17%	23 Jul →
inferno	9–13	0.01	14%	23 Jul →
cache	13–16	0.00	19%	22 Jul →
anubis	13–9	0.01	14%	22 Jul →
ancient	9–13	-0.00	9%	22 Jul →
ancient	13–9	0.08	17%	22 Jul →
inferno	10–13	-0.04	22%	22 Jul →
mirage	6–13	-0.03	14%	22 Jul →
fachwerk	8–13	0.05	30%	22 Jul →
boulder	5–13	-0.05	29%	22 Jul →
inferno	10–13	0.00	19%	21 Jul →
mirage	5–13	-0.03	29%	21 Jul →
ancient	9–13	-0.04	31%	21 Jul →
inferno	13–10	0.04	26%	21 Jul →
dust2	6–13	-0.02	23%	15 Jul →
mirage	4–13	-0.06	10%	15 Jul →
ancient	13–9	-0.03	40%	15 Jul →
nuke	13–4	0.00	24%	15 Jul →
dust2	8–13	-0.06	17%	14 Jul →
anubis	5–13	-0.05	13%	14 Jul →
ancient	8–12	-0.06	7%	14 Jul →
mirage	13–8	0.01	16%	14 Jul →
nuke	16–13	-0.00	22%	14 Jul →
cache	11–13	-0.00	29%	12 Jul →
nuke	15–15	0.02	10%	12 Jul →
mirage	11–13	-0.02	22%	11 Jul →
ancient	13–4	0.15	41%	11 Jul →
anubis	13–11	0.02	19%	11 Jul →
cache	7–13	0.01	30%	9 Jul →
mirage	13–11	0.01	20%	9 Jul →
dust2	5–13	0.02	35%	9 Jul →
dust2	10–13	-0.06	18%	9 Jul →
ancient	11–3	0.06	19%	9 Jul →
nuke	13–10	-0.03	22%	6 Jul →
nuke	13–9	-0.00	22%	6 Jul →
inferno	13–3	0.10	19%	5 Jul →
cache	4–13	0.04	27%	5 Jul →
ancient	13–8	0.04	14%	5 Jul →
inferno	8–13	-0.02	17%	5 Jul →
ancient	9–13	0.02	17%	3 Jul →
anubis	11–13	0.01	27%	3 Jul →
anubis	13–9	0.03	22%	3 Jul →
ancient	8–13	-0.02	23%	3 Jul →
mirage	13–3	0.01	21%	3 Jul →
ancient	14–16	-0.04	9%	2 Jul →
dust2	6–2	0.03	37%	2 Jul →
ancient	7–13	0.00	30%	2 Jul →
dust2	13–11	0.02	21%	2 Jul →
ancient	13–11	0.07	22%	30 Jun →
inferno	7–13	-0.00	24%	30 Jun →
overpass	4–13	0.01	19%	29 Jun →
nuke	13–10	-0.06	23%	29 Jun →