TOBBE(relapsed)

TOBBE(relapsed) — CS2 Stats

SE76561198045426361[U:1:85160633]Steam profile ↗✓ No bans

1,658Tracked matches66%Win rate2020Tracked since
7,980Hours in CS11Hrs last 2 wks
CSDB Rating8.8 ElitePositional Player
Premier CS Rating28,937Top 1% of 215,558 CSDB-tracked playersRed band · top ~1.1% of ranked players (population est.)
CSDB Leaderboard#1668 of 261654 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Nov 2026 (4 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: 28,937 +5,797 21 Jul – 11 Nov · 31 days played
22,70228,937peak 28,93721 Jul11 Nov
28,937Peak Premier in tracked matches
39Days played since 2026-07-08

Premier CS Rating

  • At peak — 28,937
  • +2,120 over 30 days · improving
  • +2,406 over 90 days
  • Next: Gold band at 30,000 — 1,063 to go
  • Reached: Red band · Pink band · Purple band · 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 Level 10 among CSDB-tracked players (n=31,884), 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 10 median
Headshot rate53.0%50.9%
Shot accuracy22.0%13.7%
Kill/death ratio0.921.09
Match win rate40.6%48.4%

Share this profile

CSDB.GGTOBBE(relapsed)FACEITLevel 10STANDINGTop 12.4% of rankedPREMIER28,937 · Red bandcsdb.gg/stats

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Performance scores

Aim92
Positioning80
Utility62

0–100 skill scores via Leetify.

Recent form

HOT58–38–4Last 10058%Win rateWWLWWLLWWW

Last 10 vs previous 10: +20pp win rate · −0.00 avg rating · −3.9pp headshot accuracy · −31ms reaction

Win rate up 20pp 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 (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 17%
  • Avg reaction 486ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 16%
  • Avg reaction 500ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 18%
  • Avg reaction 516ms

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 (+1.2 against its own average).

Aim9.2
Utility6.2
Positioning8.0
Opening Duels6.7
Clutch6.2

Sharp aimerStrong CT-side openerStrong positioning

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

m0NESY

Plays most like m0NESY 92% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

Strengths

Aim. Aim score of 92 — the mechanical foundation is a clear strength.

CT openings. 68% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 67% T opening-duel success — entries that actually open the round.

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

Aim9.2
Positioning8.0
Utility6.2
Mechanics7.8
Opening Duels9.3
Win Impact10.0

Composite 8.8/10 (Elite), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.05+0.00
first ⅓ avg 0.05 → last ⅓ avg 0.05
Reaction time502ms−121ms
first ⅓ avg 623ms → last ⅓ avg 502ms
Headshot accuracy17.0%−1.6%
first ⅓ avg 18.5% → last ⅓ avg 17.0%

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

0.20Best match rating · 13–5 · dust2, 23 Aug →
37%Best headshot accuracy · 13–9 · inferno, 10 Aug →
367msFastest reaction time · 13–2 · ancient, 17 Oct →
13–1Biggest win · nuke, 5 Nov →

Across the last 100 tracked matches.

Highlights

9Longest win streak
W2Current streak
10–9In matches decided by ≤2 rounds
8Overtime games

Map breakdown

mirageBest map · 71% over 17infernoWeakest map · 45% over 11
MapGradePlayedRecordWin rateAvg rating
nukeA1811–761%0.06
cacheA1811–761%0.05
mirageS1712–571%0.03
dust2A148–657%0.05
ancientB126–650%0.05
infernoB115–645%0.06
anubisS64–267%0.01
office—21–150%0.04
train—20–20%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (45% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

520,551Lifetime kills
0.92K/D
10,170Matches
40.6%Match win rate
53.0%Headshot % · Top 50% of Level 10 players
22.0%Shot accuracy · Top 1% of Level 10 players
24,044MVPs
11,056Hours (in match)
5,552Bombs planted
2,455Bombs defused

Most-used weapons

AK-47291,183
AWP47,177
P2506,887
FAMAS4,564
SG 5534,266

Lifetime map wins

11,403dust2
10,751inferno
9,964nuke
3,034train
1,638vertigo
699cbble
204lake
161office

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

Faceit stats

Combat

743Matches
54%Win rate
1.32Avg K/D
106.9ADR
44%Headshot %

Clutches & streaks

51%1v1 clutch win
26%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage2744%1.2919.4
Inferno1958%1.4421.5
Nuke1856%1.6722.2
Dust21354%1.4720.7
Anubis1385%1.7220.2
Ancient1250%1.4921.8
Overpass475%2.4023.3
Vertigo250%1.5015.0

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.

17.4%Headshot accuracy
43.4%Accuracy (enemy spotted)
48.6%Spray accuracy
85.0%Counter-strafing
9.5°Preaim
510msReaction time
66.8%T opening success
67.5%CT opening success
0.62Enemies flashed / flash
8.9%Flash assists
9.22HE damage / grenade
11.92Flashes / match

Recommended for you

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.

45% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–100.0521%11 Nov →
nuke13–100.0826%11 Nov →
ancient14–160.0413%10 Nov →
dust213–70.066%10 Nov →
dust213–110.0318%9 Nov →
dust210–130.0317%9 Nov →
cache6–13-0.018%9 Nov →
nuke13–60.1214%9 Nov →
cache13–100.0413%5 Nov →
mirage13–20.0521%5 Nov →
nuke13–10.1718%5 Nov →
office13–50.1033%1 Nov →
office12–12-0.0114%1 Nov →
inferno2–130.0524%28 Oct →
anubis8–13-0.0313%28 Oct →
cache13–60.0517%28 Oct →
mirage16–140.0719%25 Oct →
mirage13–80.0222%21 Oct →
nuke11–130.0424%21 Oct →
ancient8–130.0411%17 Oct →
ancient13–20.1217%17 Oct →
nuke13–80.1418%7 Oct →
mirage9–13-0.0121%3 Oct →
dust212–160.0320%2 Oct →
cache13–40.0819%1 Oct →
mirage1–130.027%1 Oct →
nuke16–140.0620%2 Sept →
mirage13–30.076%31 Aug →
mirage16–140.0621%31 Aug →
anubis13–60.0416%25 Aug →
nuke6–13-0.0511%24 Aug →
ancient13–110.0618%24 Aug →
dust211–130.0015%23 Aug →
anubis9–13-0.0014%23 Aug →
dust213–50.2036%23 Aug →
nuke13–80.0417%23 Aug →
nuke14–160.0314%20 Aug →
nuke13–110.0318%12 Aug →
mirage10–130.0119%12 Aug →
ancient1–13-0.0520%12 Aug →
cache10–130.0815%12 Aug →
train12–120.0729%12 Aug →
train3–13-0.0127%12 Aug →
ancient13–100.1323%11 Aug →
inferno13–60.0731%11 Aug →
cache10–130.0613%11 Aug →
dust213–80.0519%11 Aug →
inferno13–90.1237%10 Aug →
cache13–110.0514%10 Aug →
cache15–15-0.0210%6 Aug →
mirage9–130.017%5 Aug →
nuke8–130.006%5 Aug →
dust213–110.0215%5 Aug →
cache8–130.0624%5 Aug →
inferno13–7-0.0025%2 Aug →
cache7–10.0820%2 Aug →
inferno6–130.0323%2 Aug →
ancient4–13-0.0319%2 Aug →
cache13–60.0520%2 Aug →
ancient13–40.0316%1 Aug →
anubis13–60.0520%28 Jul →
nuke13–10.1515%28 Jul →
dust213–110.0316%28 Jul →
mirage13–100.0318%28 Jul →
ancient13–90.0623%27 Jul →
inferno13–100.0819%26 Jul →
dust213–40.0828%26 Jul →
nuke10–130.0218%26 Jul →
cache13–50.0712%26 Jul →
mirage13–50.0427%24 Jul →
inferno11–130.0714%22 Jul →
mirage13–7-0.0023%22 Jul →
mirage11–13-0.0825%22 Jul →
ancient9–130.0819%22 Jul →
dust29–13-0.0317%22 Jul →
inferno13–50.1123%21 Jul →
cache13–100.0513%21 Jul →
nuke11–130.0413%21 Jul →
inferno15–150.0617%16 Jul →
cache11–130.1316%14 Jul →
inferno11–130.0513%14 Jul →
mirage13–20.0521%14 Jul →
mirage13–50.0229%14 Jul →
anubis13–100.0016%13 Jul →
mirage13–50.1017%13 Jul →
mirage13–100.0812%12 Jul →
nuke10–130.0422%12 Jul →
nuke13–50.0924%12 Jul →
dust25–130.1121%12 Jul →
ancient1–13-0.0527%10 Jul →
nuke13–100.0717%10 Jul →
dust210–130.0220%9 Jul →
cache5–130.0415%9 Jul →
ancient13–50.1615%9 Jul →
nuke13–80.0516%9 Jul →
inferno7–130.0427%9 Jul →
anubis13–80.0313%9 Jul →
cache13–11-0.028%8 Jul →
cache13–100.0514%8 Jul →
cache13–70.0929%8 Jul →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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