Tarmob0b

Tarmob0b — CS2 Stats

VA76561199541648071[U:1:1581382343]Steam profile ↗✓ No bans

436Tracked matches43%Win rate2023Tracked since
683Hours in CS45Hrs last 2 wks
CSDB Rating5.7 SolidPositional Player
Premier CS Rating15,403Purple band · top ~26.8% of ranked players (population est.)
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Oct 2026 (12 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: 15,403 -1,296 20 Sept – 24 Oct · 22 days played
14,33417,176peak 17,17620 Sept24 Oct
17,532Peak Premier in tracked matches
28Days played since 2026-09-20

Premier CS Rating

  • 1,773 below peak (17,176)
  • -1,120 over 30 days · declining
  • Next: Pink band at 20,000 — 4,597 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-24
  • Blue band first seen 2026-09-24

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 Level 6 among CSDB-tracked players (n=13,496), 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 6 medianLevel 7 medianvs Level 7
Headshot rate42.9%44.8%45.7%2.8% short
Shot accuracy2.8%12.4%12.7%9.9% short
Kill/death ratio0.921.031.050.13 short
Match win rate43.7%45.2%45.7%2.0% short

This profile sits below the typical Level 7 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGTarmob0bFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER15,403 · Purple 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

Aim69
Positioning63
Utility39

0–100 skill scores via Leetify.

Recent form

COLD42–58Last 10042%Win rateLLLLLWWWLL

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · +2.3pp headshot accuracy · +5ms 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

  • 0–5 · 0% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 20%
  • Avg reaction 556ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 585ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 582ms

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 (+1.5 against its own average).

Aim6.9
Utility3.9
Positioning6.3
Opening Duels4.2
Clutch5.0

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

donk

Plays most like donk 89% 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 584ms 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

Aim6.9
Positioning6.3
Utility3.9
Mechanics6.6
Opening Duels5.2
Win Impact2.8

Composite 5.7/10 (Solid), 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-0.00−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time584ms−2ms
first ⅓ avg 586ms → last ⅓ avg 584ms
Headshot accuracy15.4%+1.8%
first ⅓ avg 13.6% → last ⅓ avg 15.4%

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

0.25Best match rating · 9–1 · inferno, 29 Sept →
32%Best headshot accuracy · 6–9 · inferno, 25 Oct →
422msFastest reaction time · 9–1 · inferno, 29 Sept →
13–1Biggest win · anubis, 13 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L5Current streak
8–9In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 63% over 8dust2Weakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
ancientC207–1335%-0.01
mirageC187–1139%0.01
infernoC167–944%0.02
nukeD103–730%-0.01
cacheB105–550%-0.01
dust2D81–713%-0.04
anubisA85–363%0.00
vertigo—44–0100%0.05
overpass—31–233%0.02
office—21–150%-0.05
eldorado—11–0100%0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

16,085Lifetime kills
0.92K/D
1,066Matches
43.7%Match win rate
42.9%Headshot %
2.8%Shot accuracy
2,324MVPs
362Hours (in match)
1,429Bombs planted
179Bombs defused

Most-used weapons

Lifetime map wins

1,344inferno
984vertigo
971nuke
308dust2
211office
48train
16ar_shoots
16lake

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

Faceit stats

Combat

98Matches
52%Win rate
1.13Avg K/D
72.2ADR
40%Headshot %

Clutches & streaks

45%1v1 clutch win
19%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Anubis2763%1.4414.2
Ancient2045%0.9714.2
Mirage1942%1.0615.3
Cache1669%1.0715.0
Inferno850%1.0615.4
Dust2425%0.6712.3
Nuke250%0.9613.0
Vertigo20%0.7411.5

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.

13.4%Headshot accuracy
36.3%Accuracy (enemy spotted)
39.2%Spray accuracy
79.8%Counter-strafing
9.5°Preaim
584msReaction time
52.3%T opening success
49.1%CT opening success
0.51Enemies flashed / flash
7.6%Flash assists
6.69HE damage / grenade
3.18Flashes / 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 13.3703% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.1802 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Dust 2

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

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient6–13-0.0426%2 Nov →
dust210–13-0.0811%31 Oct →
ancient4–13-0.0431%26 Oct →
overpass6–90.023%25 Oct →
inferno6–9-0.0732%25 Oct →
vertigo9–30.1417%25 Oct →
nuke9–50.0511%25 Oct →
eldorado9–60.0413%25 Oct →
dust25–13-0.0613%24 Oct →
overpass6–9-0.0129%22 Oct →
vertigo9–70.0316%22 Oct →
nuke3–90.0114%22 Oct →
inferno9–30.2024%22 Oct →
anubis9–13-0.0212%22 Oct →
cache5–130.0112%22 Oct →
dust26–13-0.0418%21 Oct →
ancient13–80.037%20 Oct →
ancient8–130.0117%20 Oct →
inferno7–9-0.0626%20 Oct →
inferno11–13-0.0117%15 Oct →
inferno1–9-0.0711%15 Oct →
mirage6–13-0.006%14 Oct →
cache13–100.0013%13 Oct →
anubis13–10.1218%13 Oct →
inferno10–13-0.027%12 Oct →
ancient6–13-0.0318%12 Oct →
ancient13–8-0.0323%12 Oct →
inferno13–7-0.0213%11 Oct →
ancient5–13-0.0313%11 Oct →
mirage16–14-0.059%11 Oct →
cache13–11-0.0415%11 Oct →
nuke13–3-0.037%11 Oct →
anubis13–6-0.028%11 Oct →
nuke7–13-0.0324%9 Oct →
mirage13–70.0716%6 Oct →
ancient14–16-0.055%6 Oct →
anubis14–16-0.0510%6 Oct →
vertigo13–6-0.066%5 Oct →
anubis16–140.0312%5 Oct →
mirage13–7-0.0117%5 Oct →
cache13–80.0713%5 Oct →
vertigo9–60.0912%5 Oct →
anubis8–80.0312%4 Oct →
ancient13–40.079%4 Oct →
nuke9–130.0714%4 Oct →
anubis16–14-0.057%4 Oct →
inferno7–90.0719%4 Oct →
ancient13–16-0.0218%4 Oct →
mirage4–13-0.0416%4 Oct →
ancient13–160.048%3 Oct →
mirage8–130.0218%3 Oct →
ancient10–130.0516%3 Oct →
dust216–140.0215%3 Oct →
mirage9–130.0511%3 Oct →
dust25–13-0.076%3 Oct →
ancient6–13-0.0615%3 Oct →
cache13–11-0.0110%3 Oct →
cache11–13-0.089%3 Oct →
ancient6–130.0612%3 Oct →
cache13–20.0420%3 Oct →
mirage13–90.0119%2 Oct →
ancient13–90.0014%2 Oct →
inferno7–130.0310%1 Oct →
nuke11–13-0.0016%1 Oct →
overpass9–40.0614%1 Oct →
office7–13-0.0822%30 Sept →
mirage9–13-0.042%29 Sept →
mirage2–10-0.036%29 Sept →
nuke4–13-0.088%29 Sept →
inferno13–40.019%29 Sept →
ancient3–13-0.0116%29 Sept →
cache2–13-0.0717%29 Sept →
inferno9–10.2516%29 Sept →
mirage13–16-0.0218%26 Sept →
inferno13–5-0.0614%26 Sept →
inferno9–60.088%26 Sept →
inferno2–130.0013%26 Sept →
cache10–130.0020%26 Sept →
cache10–13-0.0614%26 Sept →
ancient13–40.0312%26 Sept →
inferno11–130.0114%24 Sept →
nuke13–8-0.0713%24 Sept →
ancient13–8-0.057%24 Sept →
anubis14–16-0.029%23 Sept →
mirage13–80.049%23 Sept →
dust20–13-0.0411%23 Sept →
dust24–13-0.0318%23 Sept →
dust28–130.0011%23 Sept →
ancient4–13-0.1016%23 Sept →
mirage13–60.149%23 Sept →
nuke7–130.019%23 Sept →
mirage9–13-0.079%22 Sept →
mirage10–130.0426%22 Sept →
mirage9–10.138%22 Sept →
mirage9–13-0.0214%21 Sept →
ancient13–60.0026%21 Sept →
inferno9–60.0115%21 Sept →
nuke8–13-0.0114%20 Sept →
office13–6-0.0226%20 Sept →
mirage9–13-0.0512%20 Sept →

Match data via Leetify.

Recent teammates

Milestones

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

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