mertinixtitan

mertinixtitan — CS2 Stats

GB76561198985971485[U:1:1025705757]Steam profile ↗✓ No bans

74Tracked matches47%Win rate2023Tracked since
316Hours in CS54Hrs last 2 wks
CSDB Rating4.3 DevelopingPositional Player
Premier CS Rating6,426Light Blue band · top ~72% of ranked players (population est.)
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 2026 (2 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: 6,426 +108 9 Nov – 13 Nov · 5 days played
5,6896,426peak 6,4269 Nov13 Nov
6,705Peak Premier in tracked matches
24Days played since 2023-02-05

Premier CS Rating

  • At peak — 6,426
  • Next: Blue band at 10,000 — 3,574 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=10,066), 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 rate52.9%40.0%42.0%above
Shot accuracy11.3%6.9%9.7%above
Kill/death ratio1.110.920.98above
Match win rate42.2%42.3%43.8%1.6% short

This profile matches the typical Blue band player on 3 of 4 comparable metrics.

Widest gap: Match win rate. 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.GGmertinixtitanPREMIER6,426 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim39
Positioning61
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY23–45–3Last 7132%Win rateWWLLLWLWWW

Last 10 vs previous 10: +30pp win rate · −0.05 avg rating · −5.2pp headshot accuracy · −37ms reaction

Win rate up 30pp 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 (−0.05), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 14%
  • Avg reaction 670ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 649ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 668ms

Newest first, from the last 71 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).

Aim3.9
Utility5.8
Positioning6.1
Opening Duels3.7
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

jL

Plays most like jL 64% 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. 640ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% 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

Aim3.9
Positioning6.1
Utility5.8
Mechanics4.4
Opening Duels5.0
Win Impact3.9

Composite 4.3/10 (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 rating-0.00+0.04
first ⅓ avg -0.04 → last ⅓ avg -0.00
Reaction time655ms−29ms
first ⅓ avg 684ms → last ⅓ avg 655ms
Headshot accuracy17.0%+3.5%
first ⅓ avg 13.4% → last ⅓ avg 17.0%

Rolling 5-match average across the last 71 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.11Best match rating · 9–5 · inferno, 14 Feb →
40%Best headshot accuracy · 2–9 · dust2, 5 Feb →
453msFastest reaction time · 8–13 · ancient, 4 Nov →
13–4Biggest win · inferno, 5 Nov →

Across the last 71 tracked matches.

Highlights

3Longest win streak
W2Current streak
8Overtime games

Map breakdown

infernoBest map · 50% over 16ancientWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
mirageD175–1229%-0.06
infernoB168–850%-0.01
dust2D155–1033%-0.01
ancientD71–614%-0.05
anubisD72–529%-0.04
cache—42–250%0.00
office—20–20%0.02
nuke—10–10%0.05
vertigo—10–10%-0.06
shortdust—10–10%-0.01

Across the last 71 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

9,422Lifetime kills
1.11K/D · Top 25% of Light Blue band
528Matches
42.2%Match win rate
52.9%Headshot % · Top 10% of Light Blue band
11.3%Shot accuracy · Top 50% of Light Blue band
1,283MVPs
156Hours (in match)
419Bombs planted
76Bombs defused

Most-used weapons

Lifetime map wins

809inferno
471dust2
431office
315cbble
81train
80nuke
19lake
13vertigo

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

Faceit stats

Combat

5Matches
20%Win rate
0.55Avg K/D
49.8ADR
61%Headshot %

Clutches & streaks

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

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Dust2250%0.689.0
Anubis20%0.508.0
Mirage10%0.417.0

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.

15.8%Headshot accuracy
31.3%Accuracy (enemy spotted)
31.6%Spray accuracy
69.7%Counter-strafing
11.4°Preaim
640msReaction time
54.9%T opening success
45.2%CT opening success
0.57Enemies flashed / flash
5.3%Flash assists
9.77HE damage / grenade
14.10Flashes / match

Recommended for you

Spend your practice time on Ancient

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–5-0.0214%13 Nov →
ancient13–10-0.069%12 Nov →
mirage9–13-0.0016%12 Nov →
mirage1–13-0.1219%12 Nov →
inferno7–13-0.0711%11 Nov →
dust213–50.0715%11 Nov →
inferno4–13-0.0818%11 Nov →
mirage13–7-0.079%11 Nov →
inferno13–80.0316%11 Nov →
dust213–10-0.0318%11 Nov →
dust28–13-0.0217%11 Nov →
dust24–13-0.0624%11 Nov →
mirage13–80.0425%11 Nov →
cache13–11-0.0316%11 Nov →
mirage7–130.0214%11 Nov →
dust28–130.0425%11 Nov →
dust212–160.0326%10 Nov →
nuke13–160.058%10 Nov →
cache13–100.0324%10 Nov →
cache8–130.0917%10 Nov →
dust213–50.1026%10 Nov →
inferno6–13-0.066%9 Nov →
anubis11–80.0317%9 Nov →
inferno13–10-0.0310%9 Nov →
inferno12–16-0.0714%9 Nov →
ancient5–13-0.0710%9 Nov →
inferno13–100.1023%9 Nov →
ancient9–130.0117%9 Nov →
mirage6–13-0.090%9 Nov →
dust213–9-0.0111%9 Nov →
ancient4–13-0.075%5 Nov →
anubis12–120.0617%5 Nov →
inferno13–40.0623%5 Nov →
mirage6–13-0.0115%5 Nov →
dust27–13-0.0621%5 Nov →
ancient8–13-0.0924%4 Nov →
ancient9–13-0.0215%4 Nov →
dust28–13-0.0922%27 Oct →
dust211–13-0.0512%23 Oct →
ancient2–13-0.0818%22 Oct →
anubis12–12-0.0319%21 Oct →
inferno9–70.0026%16 Oct →
dust213–70.0618%16 Oct →
cache2–13-0.085%15 Oct →
mirage6–13-0.0815%15 Oct →
mirage13–50.0016%15 Oct →
anubis11–13-0.0817%15 Oct →
anubis6–13-0.0914%14 Oct →
mirage6–13-0.0710%14 Oct →
inferno6–13-0.0625%14 Oct →
anubis13–9-0.0419%13 Oct →
inferno13–7-0.066%13 Oct →
inferno9–13-0.066%13 Oct →
vertigo4–13-0.060%13 Oct →
mirage5–13-0.0619%13 Oct →
mirage13–9-0.128%13 Oct →
dust210–13-0.0125%13 Oct →
dust27–13-0.0612%13 Oct →
anubis8–13-0.144%13 Oct →
inferno8–80.0410%12 Jun →
shortdust6–9-0.0120%16 Aug →
inferno6–16-0.0515%15 Feb →
inferno9–50.1121%14 Feb →
mirage12–16-0.067%13 Feb →
mirage16–8-0.160%12 Feb →
office6–90.0711%12 Feb →
mirage10–16-0.0220%10 Feb →
mirage12–16-0.065%6 Feb →
dust22–9-0.0540%5 Feb →
mirage2–9-0.090%5 Feb →
office5–9-0.0225%5 Feb →

Match data via Leetify.

Recent teammates

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

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