MartiNéz [#24]

MartiNéz [#24] — CS2 Stats

GS76561198018492016[U:1:58226288]Steam profile ↗✓ No bans

3,396Tracked matches44%Win rate2020Tracked since
CSDB Rating5.8 SolidSupport
Premier CS Rating18,315Purple band · top ~15.2% of ranked players (population est.)
CSDB Leaderboard#99781 of 238041 tracked
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 18,315 → 18,315
0Faceit ELO · 1,596 → 1,596
+1Tracked matches · now 3,396
−3.7ppWin rate · 48.1% → 44.4%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 33 days played since 3 Jul 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 18,315 -1,420 3 Jul18 Sept · 19 days played
17,64619,999peak 19,9993 Jul18 Sept
Faceit ELO: 1,596 +0 30 Aug18 Sept · 5 observations
1,5961,596peak 1,59630 Aug18 Sept
19,999Peak Premier in tracked matches
1,596Highest Faceit ELO seen on CSDB
33Days played since 2026-07-03

Faceit ELO

  • At peak — 1,596
  • Next: Level 9 at 1,751 155 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-08-30
  • Level 7 first seen 2026-08-30

Premier CS Rating

  • 1,684 below peak (19,999)
  • +327 over 30 days · steady
  • -1,420 over 90 days
  • Next: Pink band at 20,000 1,685 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-30
  • Blue band first seen 2026-08-30

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGMartiNéz [#24]PREMIER18,315 · Purple bandPEAK ELO1,596csdb.gg/stats

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Performance scores

Aim79
Positioning52
Utility57

0–100 skill scores via Leetify.

Recent form

COLD42526Last 10042%Win rateLLTLLLLWLW

Last 10 vs previous 10: −30pp win rate · −0.05 avg rating · −8.3pp headshot accuracy · +41ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 041 · 0% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 591ms

Last 10

  • 271 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 589ms

Last 20

  • 7121 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 568ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: SupportUtility contribution stands above the rest of this profile (+1.2 against its own average).

Aim7.9
Utility5.7
Positioning5.2
Opening Duels3.2
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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

NiKo

Plays most like NiKo 94% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; lower opening-duel success.

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

Reaction time. 559ms 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

Aim7.9
Positioning5.2
Utility5.7
Mechanics5.9
Opening Duels3.5
Win Impact3.1

Composite 5.8/10 (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 rating0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time568ms−93ms
first ⅓ avg 660ms → last ⅓ avg 568ms
Headshot accuracy18.8%−3.7%
first ⅓ avg 22.5% → last ⅓ avg 18.8%

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.

Personal bests

0.15Best match rating · 13–4 · ancient, 11 Jul
41%Best headshot accuracy · 13–4 · ancient, 11 Jul
375msFastest reaction time · 9–2 · inferno, 14 Aug
13–0Biggest win · dust2, 30 Aug

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
46In matches decided by ≤2 rounds
4Overtime games

Map breakdown

mirageBest map · 67% over 18cacheWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
ancientC26101638%0.01
mirageS1812667%0.00
infernoD1541127%0.00
cacheD112918%0.01
anubisC94544%-0.01
dust2C94544%-0.02
nukeB84450%0.01
train220100%0.04
fachwerk1010%0.05
boulder1010%-0.05

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

MapMatchesWin rateAvg K/DAvg kills
Ancient27952%0.9414.7
Anubis20554%0.8813.9
Inferno15854%0.9814.9
Mirage15346%0.8814.0
Dust26540%0.8814.1
Nuke6439%0.8915.0
Overpass4650%0.8914.0
Vertigo2138%0.9015.0

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.

18.6%Headshot accuracy
39.4%Accuracy (enemy spotted)
41.6%Spray accuracy
76.4%Counter-strafing
10.1°Preaim
559msReaction time
38.6%T opening success
49.2%CT opening success
0.59Enemies flashed / flash
6.2%Flash assists
10.80HE damage / grenade
8.61Flashes / 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.

  1. 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 38.5584% — 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.

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
ancient6–13-0.066%20 Sept
inferno11–13-0.049%13 Sept
anubis12–12-0.0313%13 Sept
ancient9–13-0.0118%6 Sept
cache9–13-0.0216%6 Sept
ancient2–13-0.095%6 Sept
inferno10–13-0.0816%3 Sept
mirage13–90.0528%2 Sept
ancient7–13-0.0711%1 Sept
dust213–00.0524%30 Aug
ancient13–20.0525%30 Aug
cache9–13-0.0925%27 Aug
cache7–130.0123%25 Aug
mirage13–8-0.0022%25 Aug
mirage6–130.0118%25 Aug
mirage13–110.0630%24 Aug
cache13–90.1136%24 Aug
ancient11–130.0419%24 Aug
mirage13–8-0.0216%19 Aug
ancient10–13-0.0014%17 Aug
ancient9–13-0.0731%14 Aug
mirage13–90.0118%14 Aug
inferno9–20.0611%14 Aug
ancient3–13-0.0117%14 Aug
anubis10–13-0.0213%14 Aug
train13–80.0423%14 Aug
mirage13–40.0722%14 Aug
anubis13–60.0118%13 Aug
cache12–12-0.058%13 Aug
inferno12–120.0123%13 Aug
train13–50.0520%13 Aug
nuke11–13-0.0025%10 Aug
mirage13–40.0325%6 Aug
mirage8–13-0.0226%6 Aug
inferno1–13-0.0925%31 Jul
ancient7–13-0.0426%31 Jul
dust213–60.0014%31 Jul
inferno13–160.0824%31 Jul
ancient13–100.0420%31 Jul
mirage13–100.0221%30 Jul
anubis6–130.0316%30 Jul
inferno13–4-0.0116%29 Jul
nuke5–130.0619%29 Jul
ancient13–80.0617%29 Jul
ancient4–13-0.0317%29 Jul
ancient9–130.0321%28 Jul
anubis13–2-0.044%28 Jul
mirage4–3-0.0929%28 Jul
cache13–100.0626%28 Jul
dust213–20.0523%28 Jul
ancient13–30.0722%26 Jul
inferno12–120.0419%26 Jul
inferno10–13-0.0333%25 Jul
dust210–13-0.049%25 Jul
dust27–3-0.100%25 Jul
cache12–120.0121%25 Jul
ancient13–30.0213%23 Jul
ancient9–13-0.0021%23 Jul
mirage13–100.0218%23 Jul
nuke6–130.0017%23 Jul
inferno9–130.0114%23 Jul
cache13–160.0019%22 Jul
anubis13–90.0114%22 Jul
ancient9–13-0.009%22 Jul
ancient13–90.0817%22 Jul
inferno10–13-0.0422%22 Jul
mirage6–13-0.0314%22 Jul
fachwerk8–130.0530%22 Jul
boulder5–13-0.0529%22 Jul
inferno10–130.0019%21 Jul
mirage5–13-0.0329%21 Jul
ancient9–13-0.0431%21 Jul
inferno13–100.0426%21 Jul
dust26–13-0.0223%15 Jul
mirage4–13-0.0610%15 Jul
ancient13–9-0.0340%15 Jul
nuke13–40.0024%15 Jul
dust28–13-0.0617%14 Jul
anubis5–13-0.0513%14 Jul
ancient8–12-0.067%14 Jul
mirage13–80.0116%14 Jul
nuke16–13-0.0022%14 Jul
cache11–13-0.0029%12 Jul
nuke15–150.0210%12 Jul
mirage11–13-0.0222%11 Jul
ancient13–40.1541%11 Jul
anubis13–110.0219%11 Jul
cache7–130.0130%9 Jul
mirage13–110.0120%9 Jul
dust25–130.0235%9 Jul
dust210–13-0.0618%9 Jul
ancient11–30.0619%9 Jul
nuke13–10-0.0322%6 Jul
nuke13–9-0.0022%6 Jul
inferno13–30.1019%5 Jul
cache4–130.0427%5 Jul
ancient13–80.0414%5 Jul
inferno8–13-0.0217%5 Jul
ancient9–130.0217%3 Jul
anubis11–130.0127%3 Jul

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →