mart9n

mart9n — CS2 Stats

76561198108710892[U:1:148445164]Steam profile ↗✓ No bans

1,422Tracked matches57%Win rate2020Tracked since
6,884Hours in CS93Hrs last 2 wks
CSDB Rating5.3 DevelopingSupport
Premier CS Rating6,727Light Blue band · top ~70.5% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 6,727 +715 23 May – 11 Oct · 33 days played
5,1319,750peak 9,75023 May11 Oct
9,750Peak Premier in tracked matches
38Days played since 2026-05-23

Premier CS Rating

  • 3,023 below peak (9,750)
  • +501 over 30 days · improving
  • +1,357 over 90 days
  • Next: Blue band at 10,000 — 3,273 to go
  • Reached: Light Blue band

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

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate33.8%39.9%42.0%8.2% short
Shot accuracy11.3%7.0%9.6%above
Kill/death ratio0.750.920.980.23 short
Match win rate44.5%42.3%43.8%meets

This profile matches the typical Blue band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGmart9nPREMIER6,727 · Light Blue bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim56
Positioning52
Utility70

0–100 skill scores via Leetify.

Recent form

STEADY44–54–2Last 10044%Win rateWLLLLWLLWW

Last 10 vs previous 10: −30pp win rate · −0.06 avg rating · +2.1pp headshot accuracy · +109ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 856ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 714ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 660ms

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: Support — Utility contribution stands above the rest of this profile (+3.5 against its own average).

Aim5.6
Utility7.0
Positioning5.2
Opening Duels1.8
Clutch0.0

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

Twistzz

Plays most like Twistzz 75% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Areas to improve

Reaction time. 646ms 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

Aim5.6
Positioning5.2
Utility7.0
Mechanics7.4
Opening Duels2.7
Win Impact7.2

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 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 time638ms−84ms
first ⅓ avg 723ms → last ⅓ avg 638ms
Headshot accuracy14.2%−1.2%
first ⅓ avg 15.3% → last ⅓ avg 14.2%

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

0.23Best match rating · 3–2 · train, 18 Aug →
32%Best headshot accuracy · 9–13 · nuke, 31 Jul →
359msFastest reaction time · 3–2 · train, 18 Aug →
13–1Biggest win · nuke, 30 Aug →

Across the last 100 tracked matches.

Highlights

10Longest win streak
3–8In matches decided by ≤2 rounds
9Overtime games

Map breakdown

cacheBest map · 67% over 12mirageWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
nukeC2510–1540%-0.00
infernoA2212–1055%-0.00
ancientD144–1029%-0.01
dust2B126–650%0.00
cacheS128–467%0.02
mirageD92–722%0.00
anubis—31–233%-0.01
train—10–10%0.23
overpass—11–0100%-0.04
vertigo—10–10%-0.07

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (22% over 9). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

90,054Lifetime kills
0.75K/D
5,423Matches
44.5%Match win rate · Top 50% of Light Blue band
33.8%Headshot %
11.3%Shot accuracy · Top 50% of Light Blue band
9,894MVPs
2,827Hours (in match)
8,450Bombs planted
1,352Bombs defused

Most-used weapons

AK-4718,985
AWP18,404
FAMAS2,010
HE Grenade1,925
P901,792
P2501,703

Lifetime map wins

16,730inferno
10,743dust2
9,673nuke
5,494train
441vertigo
222cbble
73office
46aztec

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

Faceit stats

Combat

86Matches
44%Win rate
0.76Avg K/D
64.8ADR
31%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Inferno560%1.0014.8
Nuke475%1.2521.5
Mirage367%1.0611.3
Anubis2100%0.7813.0
Overpass10%0.466.0

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.

14.3%Headshot accuracy
35.6%Accuracy (enemy spotted)
34.1%Spray accuracy
83.4%Counter-strafing
11.4°Preaim
646msReaction time
43.9%T opening success
38.0%CT opening success
0.64Enemies flashed / flash
6.6%Flash assists
15.94HE damage / grenade
14.35Flashes / 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. 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 14.2776% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 38.034% — below the 40% mark we flag

Spend your practice time on Mirage

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno7–1-0.0425%11 Oct →
dust214–160.0018%11 Oct →
ancient8–13-0.0214%11 Oct →
ancient8–13-0.0513%11 Oct →
inferno10–13-0.0115%11 Oct →
nuke13–10-0.0321%11 Oct →
cache8–13-0.065%10 Oct →
cache11–13-0.0328%10 Oct →
inferno13–6-0.0114%10 Oct →
nuke13–10-0.0323%10 Oct →
dust213–90.0211%9 Oct →
nuke12–16-0.0316%9 Oct →
dust27–130.0411%8 Oct →
mirage2–130.0415%6 Oct →
dust213–11-0.1010%5 Oct →
anubis13–70.0421%1 Oct →
inferno13–90.0612%1 Oct →
nuke13–20.0913%1 Oct →
inferno13–5-0.0118%1 Oct →
cache13–40.1227%1 Oct →
nuke13–90.057%1 Oct →
inferno13–80.0216%29 Sept →
cache13–20.017%29 Sept →
nuke13–40.1018%29 Sept →
inferno8–13-0.037%29 Sept →
ancient9–13-0.017%27 Sept →
anubis9–13-0.0317%26 Sept →
nuke6–130.002%26 Sept →
inferno13–110.0110%26 Sept →
cache13–80.0312%26 Sept →
ancient6–13-0.0313%26 Sept →
mirage11–13-0.037%26 Sept →
nuke13–70.0116%26 Sept →
mirage13–80.0314%24 Sept →
dust213–50.068%24 Sept →
nuke7–13-0.006%16 Sept →
inferno4–13-0.0913%16 Sept →
dust213–6-0.0514%16 Sept →
dust210–130.0612%16 Sept →
cache13–60.0620%15 Sept →
anubis3–13-0.0320%13 Sept →
mirage9–13-0.0110%9 Sept →
dust27–13-0.0420%8 Sept →
inferno13–60.033%8 Sept →
nuke4–13-0.0811%30 Aug →
nuke13–10.1311%30 Aug →
ancient13–9-0.0221%29 Aug →
nuke13–100.0116%28 Aug →
nuke9–130.0314%28 Aug →
nuke13–16-0.0210%27 Aug →
inferno15–150.0319%26 Aug →
dust213–110.0211%24 Aug →
inferno13–7-0.018%22 Aug →
nuke10–130.0418%22 Aug →
nuke4–130.0012%22 Aug →
cache0–13-0.0513%22 Aug →
inferno7–20.0225%22 Aug →
nuke9–13-0.0217%21 Aug →
ancient1–13-0.0217%21 Aug →
inferno3–130.016%21 Aug →
mirage1–13-0.030%21 Aug →
nuke7–13-0.0430%21 Aug →
inferno13–100.0412%21 Aug →
nuke3–13-0.0524%20 Aug →
inferno2–130.0118%20 Aug →
train3–20.238%18 Aug →
inferno2–13-0.0914%15 Aug →
ancient13–100.0212%14 Aug →
ancient16–120.0226%14 Aug →
dust212–160.0516%11 Aug →
ancient8–13-0.0624%1 Aug →
nuke2–13-0.0613%1 Aug →
inferno9–13-0.076%1 Aug →
cache13–50.045%1 Aug →
nuke13–6-0.0011%1 Aug →
ancient8–13-0.009%1 Aug →
cache13–20.0513%1 Aug →
nuke9–130.0132%31 Jul →
ancient7–130.014%31 Jul →
cache13–10-0.0228%31 Jul →
nuke11–130.0021%31 Jul →
nuke8–13-0.1216%5 Jul →
cache5–130.0613%4 Jul →
mirage7–130.0112%4 Jul →
dust213–3-0.009%4 Jul →
mirage11–130.0222%4 Jul →
inferno13–60.0213%4 Jul →
mirage11–13-0.0520%4 Jul →
ancient13–10-0.027%4 Jul →
ancient13–160.0110%3 Jul →
inferno13–10.059%3 Jul →
nuke13–9-0.0119%3 Jul →
mirage13–60.0319%3 Jul →
overpass13–10-0.0410%3 Jul →
vertigo6–13-0.0722%25 Jun →
ancient15–150.0111%25 Jun →
dust22–13-0.0222%16 Jun →
inferno8–130.0118%30 May →
cache13–60.0213%23 May →
inferno14–160.0223%23 May →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-Win Streak
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.