Mastoid Process

Mastoid Process — CS2 Stats

US76561199379479540[U:1:1419213812]Steam profile ↗✓ No bans

123Tracked matches54%Win rate2026Tracked since
CSDB Rating3.3 LearningPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Sep 2026 (8 days ago). Ranks are recorded once per day this page is viewed.

+7Tracked matches · now 123
+2.0ppWin rate · 51.8% → 53.8%
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. 45 days played since 14 Jul 2026. Come back after the next session and the change shows above.

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Rating over time

45Days played since 2026-07-14

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim36
Positioning40
Utility28

0–100 skill scores via Leetify.

Recent form

STEADY483814Last 10048%Win rateTWWWTLWTTL

Last 10 vs previous 10: −10pp win rate · +0.03 avg rating · −5.5pp headshot accuracy · −34ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 302 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 614ms

Last 10

  • 424 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 650ms

Last 20

  • 974 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 20%
  • Avg reaction 667ms

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 PlayerPositioning stands above the rest of this profile (+1.6 against its own average).

Aim3.6
Utility2.8
Positioning4.0
Opening Duels0.4

Limited utility dependence

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 78% 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

Areas to improve

Reaction time. 655ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 58% 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

Aim3.6
Positioning4.0
Utility2.8
Mechanics1.7
Opening Duels1.0
Win Impact6.3

Composite 3.3/10 (Learning), 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 rating-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time653ms−9ms
first ⅓ avg 662ms → last ⅓ avg 653ms
Headshot accuracy18.5%+1.6%
first ⅓ avg 17.0% → last ⅓ avg 18.5%

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.

Personal bests

0.12Best match rating · 13–5 · inferno, 25 Jul
50%Best headshot accuracy · 13–10 · ancient, 4 Sept
477msFastest reaction time · 12–12 · mirage, 11 Aug
13–0Biggest win · mirage, 16 Aug

Across the last 100 tracked matches.

Highlights

11Longest win streak
48In matches decided by ≤2 rounds

Map breakdown

anubisBest map · 78% over 9mirageWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
dust2B22101245%-0.04
infernoA2011955%-0.00
ancientA138562%-0.02
trainC114736%-0.03
mirageD112918%-0.03
anubisS97278%-0.02
vertigo41325%-0.05
overpass42250%-0.01
nuke21150%-0.02
cache21150%0.03
office1010%-0.08
boulder110100%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

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
31.8%Accuracy (enemy spotted)
34.8%Spray accuracy
57.5%Counter-strafing
11.2°Preaim
655msReaction time
24.1%T opening success
37.7%CT opening success
0.38Enemies flashed / flash
8.6%Flash assists
2.46HE damage / grenade
4.09Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.383 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 24.1281% — 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.

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

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis12–12-0.0116%16 Sept
anubis13–10.0520%16 Sept
dust213–40.0312%15 Sept
ancient13–5-0.059%15 Sept
vertigo12–12-0.0512%14 Sept
inferno11–13-0.0115%14 Sept
inferno13–11-0.0616%12 Sept
overpass12–120.0022%9 Sept
overpass12–12-0.0121%7 Sept
dust23–13-0.0527%7 Sept
dust213–6-0.0612%7 Sept
inferno10–13-0.0510%6 Sept
dust24–13-0.0513%6 Sept
dust213–8-0.0417%5 Sept
inferno11–13-0.0122%4 Sept
vertigo4–13-0.0013%4 Sept
anubis13–10-0.1015%4 Sept
ancient13–10-0.0550%4 Sept
office1–13-0.0835%2 Sept
train13–5-0.0639%1 Sept
anubis13–4-0.055%30 Aug
nuke6–7-0.017%30 Aug
cache4–130.0616%28 Aug
ancient6–13-0.0221%26 Aug
inferno13–70.1220%25 Aug
mirage13–40.0320%25 Aug
nuke13–7-0.0310%24 Aug
dust23–13-0.0515%23 Aug
inferno2–13-0.0134%23 Aug
anubis13–9-0.0018%22 Aug
cache13–2-0.0117%22 Aug
ancient13–3-0.0510%21 Aug
train9–13-0.0725%21 Aug
train13–100.0228%21 Aug
mirage12–12-0.0915%19 Aug
dust211–13-0.0029%19 Aug
train13–40.0318%19 Aug
dust23–13-0.0228%19 Aug
dust27–13-0.0921%17 Aug
mirage13–00.0215%16 Aug
inferno9–13-0.0615%16 Aug
ancient12–12-0.0616%16 Aug
ancient13–30.0918%15 Aug
mirage6–13-0.0413%14 Aug
inferno12–12-0.0616%14 Aug
mirage3–90.0324%14 Aug
dust213–5-0.0436%13 Aug
ancient13–10-0.0431%13 Aug
train12–12-0.0513%12 Aug
train3–10-0.0318%12 Aug
train6–13-0.0318%12 Aug
mirage12–120.0120%11 Aug
mirage4–13-0.0725%10 Aug
inferno12–12-0.0321%10 Aug
anubis13–10.0323%10 Aug
ancient8–13-0.0217%10 Aug
mirage9–13-0.0721%10 Aug
overpass13–11-0.0421%9 Aug
dust26–11-0.0515%9 Aug
train12–12-0.0016%9 Aug
ancient13–70.0318%7 Aug
inferno10–13-0.0318%7 Aug
train11–13-0.0720%7 Aug
dust213–11-0.0515%7 Aug
overpass13–5-0.0121%6 Aug
dust213–10-0.0123%6 Aug
ancient13–70.019%6 Aug
ancient13–20.0621%5 Aug
train13–10-0.0229%3 Aug
dust213–7-0.0711%2 Aug
anubis13–6-0.0224%2 Aug
inferno13–1-0.0540%31 Jul
vertigo13–10-0.0713%29 Jul
anubis10–4-0.075%29 Jul
ancient10–13-0.0416%28 Jul
inferno13–30.048%28 Jul
inferno5–4-0.004%28 Jul
dust22–13-0.0235%26 Jul
dust212–12-0.0510%26 Jul
boulder13–7-0.0112%26 Jul
inferno11–13-0.004%26 Jul
dust213–40.0210%26 Jul
dust26–13-0.0525%26 Jul
inferno13–50.0210%26 Jul
vertigo11–13-0.0918%25 Jul
inferno13–50.1218%25 Jul
dust25–13-0.0319%25 Jul
dust213–9-0.0621%24 Jul
train12–12-0.0018%24 Jul
inferno13–7-0.0120%23 Jul
inferno13–8-0.0020%23 Jul
anubis11–130.0122%22 Jul
inferno13–80.0123%16 Jul
inferno13–60.0114%15 Jul
mirage8–13-0.0611%15 Jul
mirage2–13-0.0713%15 Jul
mirage6–13-0.0413%14 Jul
dust213–5-0.0710%14 Jul
dust29–13-0.0627%14 Jul
ancient12–12-0.0618%14 Jul

Match data via Leetify.

Recent teammates

Milestones

100 Matches11-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →