i love martin zubimendi

i love martin zubimendi — CS2 Stats

AU76561198444258134[U:1:483992406]Steam profile ↗✓ No bans

1,566Tracked matches47%Win rate2020Tracked since
3,367Hours in CS34Hrs last 2 wks
CSDB Rating5.4 DevelopingPositional Player
Premier CS Rating14,708Blue band · top ~29.9% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanSilver III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Oct 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

−70Premier CS Rating · 14,778 → 14,708

Rating over time

Premier CS Rating: 14,708 -3,727 22 Aug – 8 Oct · 33 days played
13,86019,425peak 19,42522 Aug8 Oct
19,425Peak Premier in tracked matches
30Days played since 2026-08-22

Premier CS Rating

  • 4,717 below peak (19,425)
  • -2,033 over 30 days · declining
  • Next: Purple band at 15,000 — 292 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-01
  • Blue band first seen 2026-09-01

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches54——
Win rate43%——
K/D0.92——
Headshot %44%——

Measured 4 Sep 2026 → 8 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=13,649), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 5 medianLevel 6 medianvs Level 6
Headshot rate46.6%43.7%44.8%above
Shot accuracy15.9%12.0%12.4%above
Kill/death ratio0.701.021.030.33 short
Match win rate39.3%44.7%45.2%5.9% short

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGi love martin zubimendiFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER14,708 · Blue bandcsdb.gg/stats

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Performance scores

Aim59
Positioning73
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY45–53–2Last 10045%Win rateLWWLLLLWWW

Last 10 vs previous 10: −20pp win rate · +0.00 avg rating · +1.9pp headshot accuracy · +70ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 28%
  • Avg reaction 606ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 24%
  • Avg reaction 580ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 23%
  • Avg reaction 545ms

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: Positional Player — Positioning stands above the rest of this profile (+2.2 against its own average).

Aim5.9
Utility5.3
Positioning7.3
Opening Duels5.1
Clutch2.6

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

donk

Plays most like donk 76% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

Strengths

T openings. 70% T opening-duel success — entries that actually open the round.

Areas to improve

Counter-strafing. Only 62% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.9
Positioning7.3
Utility5.3
Mechanics2.7
Opening Duels8.3
Win Impact3.9

Composite 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time552ms+22ms
first ⅓ avg 530ms → last ⅓ avg 552ms
Headshot accuracy20.6%−2.8%
first ⅓ avg 23.4% → last ⅓ avg 20.6%

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.

Personal bests

0.19Best match rating · 13–0 · dust2, 10 Sept →
44%Best headshot accuracy · 6–13 · mirage, 29 Aug →
375msFastest reaction time · 13–7 · inferno, 10 Sept →
13–0Biggest win · dust2, 10 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
7–8In matches decided by ≤2 rounds
12Overtime games

Map breakdown

infernoBest map · 59% over 17cacheWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
mirageB2411–1346%-0.01
dust2C218–1338%-0.01
infernoA1710–759%0.02
ancientA116–555%0.01
cacheD102–820%-0.04
nukeC94–544%-0.02
anubisB84–450%-0.04

Across the last 100 tracked matches.

Lifetime stats

70,157Lifetime kills
0.70K/D
3,627Matches
39.3%Match win rate
46.6%Headshot % · Top 50% of Level 5 players
15.9%Shot accuracy · Top 25% of Level 5 players
7,223MVPs
2,656Hours (in match)
2,299Bombs planted
837Bombs defused

Most-used weapons

AK-4724,511
AWP13,157
SG 5532,903
MP91,342
MAC-101,330
FAMAS1,279

Lifetime map wins

6,657dust2
5,664inferno
1,782nuke
959train
624vertigo
130cbble
104lake
17office

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

209Matches
45%Win rate
0.88Avg K/D
86.1ADR
38%Headshot %

Clutches & streaks

33%1v1 clutch win
24%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage944%1.2220.7
Ancient743%1.0014.7
Dust2475%1.5919.0
Inferno10%0.6210.0
Overpass10%0.6911.0
Nuke10%1.1622.0

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.

20.5%Headshot accuracy
31.4%Accuracy (enemy spotted)
36.9%Spray accuracy
62.1%Counter-strafing
9.5°Preaim
544msReaction time
70.1%T opening success
56.2%CT opening success
0.63Enemies flashed / flash
5.1%Flash assists
8.75HE damage / grenade
12.91Flashes / match

Recommended for you

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

MapScoreRatingHS%Date
dust210–13-0.0331%8 Oct →
mirage13–40.1043%8 Oct →
inferno13–70.0113%8 Oct →
mirage1–5-0.1111%8 Oct →
anubis2–13-0.1140%6 Oct →
dust210–130.0419%6 Oct →
mirage10–130.029%5 Oct →
inferno13–30.0425%5 Oct →
ancient13–100.0828%4 Oct →
mirage13–8-0.0117%4 Oct →
anubis4–8-0.0918%2 Oct →
cache13–10-0.0418%2 Oct →
ancient16–130.0410%2 Oct →
inferno13–100.1222%2 Oct →
cache8–13-0.0122%2 Oct →
anubis13–110.0427%2 Oct →
dust26–13-0.0419%2 Oct →
nuke13–9-0.0413%2 Oct →
dust213–11-0.0429%2 Oct →
inferno13–110.0638%1 Oct →
mirage12–160.0527%1 Oct →
cache7–13-0.0617%1 Oct →
dust29–13-0.0013%30 Sept →
mirage7–130.0514%30 Sept →
mirage16–130.006%27 Sept →
cache3–13-0.0923%26 Sept →
dust213–2-0.0220%26 Sept →
inferno9–13-0.0224%26 Sept →
inferno11–13-0.0213%26 Sept →
cache7–13-0.0213%26 Sept →
cache4–13-0.0424%26 Sept →
mirage2–13-0.1315%23 Sept →
cache10–13-0.0121%23 Sept →
mirage13–60.0019%23 Sept →
dust27–13-0.0325%22 Sept →
nuke13–90.0333%22 Sept →
dust28–13-0.0726%22 Sept →
inferno11–13-0.0029%21 Sept →
mirage9–10.0428%21 Sept →
dust214–16-0.0222%21 Sept →
mirage10–13-0.0016%21 Sept →
dust214–16-0.0420%21 Sept →
ancient14–16-0.049%20 Sept →
nuke13–10-0.0616%20 Sept →
inferno16–140.1021%17 Sept →
mirage13–60.0127%17 Sept →
nuke15–15-0.0123%14 Sept →
inferno1–13-0.0421%14 Sept →
mirage8–130.006%13 Sept →
nuke7–13-0.0127%13 Sept →
dust28–13-0.0318%12 Sept →
mirage13–9-0.0223%11 Sept →
mirage6–130.0221%11 Sept →
ancient13–100.0527%11 Sept →
inferno3–13-0.0317%10 Sept →
dust213–9-0.0125%10 Sept →
anubis13–11-0.0420%10 Sept →
inferno13–70.0440%10 Sept →
ancient13–40.019%10 Sept →
dust27–13-0.0521%10 Sept →
dust213–00.1928%10 Sept →
dust213–7-0.0319%9 Sept →
ancient13–3-0.0119%9 Sept →
mirage7–13-0.0514%8 Sept →
nuke12–160.0029%8 Sept →
anubis11–13-0.0520%30 Aug →
mirage13–160.0315%30 Aug →
inferno15–15-0.0124%30 Aug →
mirage13–3-0.0114%30 Aug →
cache13–10-0.0322%29 Aug →
mirage6–13-0.0544%29 Aug →
anubis2–13-0.0717%28 Aug →
anubis13–90.0138%28 Aug →
nuke6–13-0.0318%28 Aug →
dust213–80.0114%28 Aug →
ancient16–140.0220%28 Aug →
cache9–13-0.0431%27 Aug →
ancient6–13-0.0319%27 Aug →
anubis13–6-0.0129%27 Aug →
mirage13–60.0133%27 Aug →
dust26–13-0.047%27 Aug →
mirage11–13-0.0420%27 Aug →
inferno6–13-0.0319%27 Aug →
ancient5–13-0.0012%27 Aug →
inferno13–80.0319%26 Aug →
dust213–110.0317%26 Aug →
nuke13–6-0.0233%26 Aug →
ancient6–130.0318%26 Aug →
dust24–130.0136%26 Aug →
inferno13–60.0211%26 Aug →
mirage11–13-0.0425%25 Aug →
ancient3–13-0.0432%25 Aug →
mirage13–40.0124%24 Aug →
cache10–13-0.0318%24 Aug →
mirage13–8-0.0042%24 Aug →
nuke8–13-0.0530%24 Aug →
inferno13–80.0332%23 Aug →
dust26–13-0.0610%23 Aug →
inferno13–100.0536%23 Aug →
dust213–9-0.0710%22 Aug →

Match data via Leetify.

Milestones

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

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.