tihkemuumipaps

tihkemuumipaps — CS2 Stats

76561199816525249[U:1:1856259521]Steam profile ↗✓ No bans

394Tracked matches59%Win rate2025Tracked since
400Hours in CS18Hrs last 2 wks
CSDB Rating5.2 DevelopingPositional Player
Premier CS Rating17,191Purple band · top ~19.7% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Oct 2026 (5 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: 17,191 +2,549 19 Feb – 14 Oct · 30 days played
10,51618,060peak 18,06019 Feb14 Oct
Faceit ELO: 1,009 +0 28 Aug – 20 Sept · 3 observations
1,0091,009peak 1,00928 Aug20 Sept
18,491Peak Premier in tracked matches
1,009Highest Faceit ELO seen on CSDB
50Days played since 2026-02-19

Premier CS Rating

  • 869 below peak (18,060)
  • +4,940 over 90 days
  • Next: Pink band at 20,000 — 2,809 to go
  • Reached: Purple band · Blue band · Light Blue band

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.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=14,312), 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 4 medianLevel 5 medianvs Level 5
Headshot rate60.4%42.7%43.7%above
Shot accuracy0.0%11.3%12.0%12.0% short
Kill/death ratio1.750.991.02above
Match win rate52.1%43.9%44.7%above

This profile matches the typical Level 5 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGtihkemuumipapsFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER17,191 · Purple bandPEAK ELO1,009csdb.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

Aim58
Positioning48
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY53–40–7Last 10053%Win rateLLLLWTWWWW

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · +0.1pp headshot accuracy · +12ms reaction

Win rate 0pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 9%
  • Avg reaction 537ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 9%
  • Avg reaction 575ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 9%
  • Avg reaction 569ms

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 (+2.1 against its own average).

Aim5.8
Utility4.1
Positioning4.8
Opening Duels2.1
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

iM

Plays most like iM 88% 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. 575ms 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

Aim5.8
Positioning4.8
Utility4.1
Mechanics5.4
Opening Duels2.9
Win Impact8.1

Composite 5.2/10 (Developing), 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-0.01−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time580ms−58ms
first ⅓ avg 638ms → last ⅓ avg 580ms
Headshot accuracy9.2%−4.5%
first ⅓ avg 13.7% → last ⅓ avg 9.2%

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

0.24Best match rating · 9–3 · nuke, 28 Sept →
60%Best headshot accuracy · 1–6 · mirage, 29 May →
406msFastest reaction time · 9–13 · dust2, 14 Oct →
13–0Biggest win · inferno, 29 Jun →

Across the last 100 tracked matches.

Highlights

10Longest win streak
L4Current streak
4–3In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 70% over 10infernoWeakest map · 35% over 20
MapGradePlayedRecordWin rateAvg rating
mirageA2917–1259%-0.02
infernoC207–1335%-0.01
anubisB147–750%-0.03
dust2B115–645%0.01
ancientS107–370%-0.01
cacheA85–363%-0.01
nukeB63–350%0.00
train—22–0100%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (35% over 20). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

20,031Lifetime kills
1.75K/D · Top 5% of Level 4 players
461Matches
52.1%Match win rate · Top 10% of Level 4 players
60.4%Headshot % · Top 5% of Level 4 players
0.0%Shot accuracy
1,060MVPs
383Hours (in match)
342Bombs planted
184Bombs defused

Most-used weapons

Lifetime map wins

1,164dust2
724inferno
288nuke
116train
57vertigo
35office

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

Faceit stats

Combat

5Matches
40%Win rate
1.62Avg K/D
84.2ADR
31%Headshot %

Clutches & streaks

0%1v1 clutch win
33%1v2 clutch win
1Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Dust230%1.0219.0
Mirage2100%2.5220.0

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.

9.1%Headshot accuracy
37.8%Accuracy (enemy spotted)
40.8%Spray accuracy
74.2%Counter-strafing
11.2°Preaim
575msReaction time
41.8%T opening success
41.4%CT opening success
0.54Enemies flashed / flash
1.8%Flash assists
9.53HE damage / grenade
5.57Flashes / 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 9.0782% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Inferno

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

35% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust29–13-0.0418%14 Oct →
ancient7–13-0.058%14 Oct →
dust26–13-0.065%13 Oct →
dust23–130.026%13 Oct →
anubis13–11-0.016%13 Oct →
nuke15–150.005%13 Oct →
ancient13–6-0.005%12 Oct →
inferno13–80.0610%12 Oct →
anubis13–90.028%12 Oct →
dust213–9-0.0019%10 Oct →
cache1–13-0.088%10 Oct →
cache13–8-0.0211%8 Oct →
dust215–150.1116%7 Oct →
mirage5–13-0.024%7 Oct →
nuke2–13-0.144%7 Oct →
inferno16–12-0.036%6 Oct →
cache13–3-0.003%6 Oct →
inferno10–130.0215%5 Oct →
train13–110.0812%5 Oct →
mirage16–120.019%5 Oct →
mirage16–13-0.018%4 Oct →
mirage6–13-0.0913%1 Oct →
anubis13–8-0.048%1 Oct →
anubis7–1-0.015%1 Oct →
mirage13–6-0.1010%1 Oct →
inferno13–160.035%30 Sept →
inferno8–80.078%30 Sept →
cache11–130.017%29 Sept →
anubis15–15-0.0711%28 Sept →
mirage13–90.0018%28 Sept →
nuke1–9-0.1319%28 Sept →
anubis13–90.013%28 Sept →
ancient10–130.0212%28 Sept →
nuke9–30.2418%28 Sept →
mirage8–13-0.0214%27 Sept →
mirage13–60.0424%27 Sept →
inferno13–11-0.0311%26 Sept →
nuke13–50.016%26 Sept →
anubis8–13-0.078%25 Sept →
mirage13–6-0.0511%23 Sept →
cache13–60.015%23 Sept →
mirage13–2-0.0211%23 Sept →
mirage13–9-0.015%17 Sept →
anubis13–100.0211%17 Sept →
dust213–90.1118%16 Sept →
ancient13–70.089%14 Sept →
mirage13–5-0.0018%13 Sept →
ancient13–110.005%13 Sept →
inferno13–3-0.0210%12 Sept →
anubis11–13-0.069%12 Sept →
inferno1–9-0.1711%12 Sept →
ancient13–100.0319%6 Sept →
nuke13–60.0421%3 Sept →
anubis9–13-0.075%3 Sept →
anubis9–13-0.0411%2 Sept →
mirage13–60.058%23 Aug →
ancient6–3-0.0817%2 Aug →
cache13–3-0.0129%2 Aug →
mirage7–13-0.0915%2 Aug →
inferno15–15-0.0113%2 Aug →
mirage7–13-0.0323%1 Aug →
inferno8–13-0.0416%24 Jul →
mirage13–10-0.0225%10 Jul →
ancient1–7-0.110%8 Jul →
train13–3-0.0710%6 Jul →
inferno12–160.0020%5 Jul →
mirage1–13-0.0517%5 Jul →
inferno13–40.0318%5 Jul →
inferno12–16-0.033%1 Jul →
inferno13–00.0550%29 Jun →
dust29–130.0211%29 Jun →
inferno13–100.0012%28 Jun →
anubis13–50.019%28 Jun →
anubis10–13-0.0410%28 Jun →
inferno15–150.0511%28 Jun →
anubis11–13-0.0314%26 Jun →
cache10–130.0113%26 Jun →
dust24–13-0.0512%26 Jun →
mirage9–13-0.0313%26 Jun →
mirage13–20.0718%25 Jun →
ancient13–70.0314%25 Jun →
inferno10–13-0.0513%21 Jun →
inferno2–13-0.0510%15 Jun →
mirage3–13-0.0815%29 May →
mirage1–6-0.0360%29 May →
dust213–8-0.048%29 May →
inferno10–13-0.038%23 May →
cache13–70.0219%17 May →
mirage13–50.0413%22 Apr →
mirage3–10-0.0715%20 Mar →
mirage6–13-0.1113%8 Mar →
mirage13–40.032%22 Feb →
dust213–3-0.028%22 Feb →
mirage12–12-0.0815%22 Feb →
mirage13–90.0811%22 Feb →
ancient13–10-0.0511%21 Feb →
dust213–70.0911%20 Feb →
inferno9–13-0.039%20 Feb →
mirage13–5-0.024%19 Feb →
mirage13–60.023%19 Feb →

Match data via Leetify.

Recent teammates

Milestones

100 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.