Offel

Offel — CS2 Stats

76561198198608078[U:1:238342350]Steam profile ↗✓ No bans

182Tracked matches67%Win rate2020Tracked since
1,339Hours in CS4Hrs last 2 wks
CSDB Rating6.1 SolidClutch Specialist
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (18 days ago). Ranks are recorded once per day this page is viewed.

+10Tracked matches · now 182
+9.5ppWin rate · 57.1% → 66.7%

Rating over time

47Days played since 2025-11-02

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches23——
Win rate61%——
K/D0.74——
Headshot %52%——

Measured 8 Sep 2026 → 10 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=13,649), 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 5 medianLevel 6 medianvs Level 6
Headshot rate40.0%43.7%44.8%4.8% short
Shot accuracy19.1%12.0%12.4%above
Kill/death ratio1.111.021.03above
Match win rate44.8%44.7%45.2%meets

This profile matches the typical Level 6 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGOffelFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim77
Positioning46
Utility42

0–100 skill scores via Leetify.

Recent form

HOT58–36–6Last 10058%Win rateWWWLLWWWWW

Last 10 vs previous 10: +30pp win rate · −0.03 avg rating · +2.1pp headshot accuracy · −24ms 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 (−0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 24%
  • Avg reaction 619ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 19%
  • Avg reaction 588ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 600ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+3.1 against its own average).

Aim7.7
Utility4.2
Positioning4.6
Opening Duels0.4
Clutch7.2

Limited utility dependenceReliable in 1v1s

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

b1t

Plays most like b1t 93% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

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

Reaction time. 590ms 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

Aim7.7
Positioning4.6
Utility4.2
Mechanics7.4
Opening Duels0.9
Win Impact10.0

Composite 6.1/10 (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-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time589ms−134ms
first ⅓ avg 722ms → last ⅓ avg 589ms
Headshot accuracy20.0%−2.5%
first ⅓ avg 22.5% → last ⅓ avg 20.0%

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 · 13–7 · mirage, 5 Dec →
45%Best headshot accuracy · 9–13 · stronghold, 4 Feb →
453msFastest reaction time · 13–10 · anubis, 17 Sept →
13–1Biggest win · train, 1 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W3Current streak
7–6In matches decided by ≤2 rounds
1Overtime games

Map breakdown

infernoBest map · 67% over 18ancientWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
dust2A2515–1060%-0.00
mirageA2214–864%0.03
infernoS1812–667%-0.00
cacheC73–443%-0.01
nukeA74–357%-0.02
ancientC52–340%-0.00
anubis—43–175%0.03
train—41–325%0.01
vertigo—41–325%0.04
overpass—33–0100%0.03
stronghold—10–10%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

52,636Lifetime kills
1.11K/D · Top 50% of Level 5 players
2,033Matches
44.8%Match win rate · Top 50% of Level 5 players
40.0%Headshot %
19.1%Shot accuracy · Top 10% of Level 5 players
4,960MVPs
1,280Hours (in match)
1,702Bombs planted
534Bombs defused

Most-used weapons

AK-4714,342
AWP12,740
P2501,523
SSG 081,237
UMP-451,087
P90911

Lifetime map wins

7,825dust2
1,605inferno
582cbble
363train
305nuke
227bank
146lake
140safehouse

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

Faceit stats

Combat

8Matches
50%Win rate
1.26Avg K/D
76.2ADR
58%Headshot %

Clutches & streaks

56%1v1 clutch win
20%1v2 clutch win
3Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage250%1.2018.5
Inferno1100%2.5718.0
Nuke1100%0.7110.0
Dust21100%1.2510.0
Ancient10%1.0617.0

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.

20.1%Headshot accuracy
34.0%Accuracy (enemy spotted)
38.4%Spray accuracy
83.4%Counter-strafing
8.8°Preaim
590msReaction time
31.1%T opening success
36.3%CT opening success
0.50Enemies flashed / flash
4.4%Flash assists
8.98HE damage / grenade
4.58Flashes / 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 0.4952 — 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 31.0959% — below the 40% mark we flag

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.

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–4-0.0320%6 Oct →
cache13–90.0829%6 Oct →
dust213–50.0231%6 Oct →
cache7–13-0.0517%6 Oct →
dust22–13-0.1321%5 Oct →
inferno13–20.0022%5 Oct →
mirage13–110.0324%30 Sept →
cache4–0-0.110%30 Sept →
dust213–8-0.0415%24 Sept →
nuke13–11-0.0615%23 Sept →
dust213–5-0.0112%17 Sept →
anubis13–100.0912%17 Sept →
ancient10–13-0.0316%16 Sept →
dust213–80.0113%16 Sept →
anubis11–130.0210%16 Sept →
nuke5–13-0.017%10 Sept →
inferno11–13-0.0019%10 Sept →
mirage10–13-0.0324%9 Sept →
mirage13–60.0132%9 Sept →
anubis13–6-0.0328%9 Sept →
nuke7–13-0.0123%9 Sept →
mirage13–4-0.0518%9 Sept →
dust213–11-0.0819%3 Sept →
cache13–60.0328%3 Sept →
inferno13–60.0318%2 Sept →
mirage13–20.1133%2 Sept →
dust26–13-0.0515%2 Sept →
inferno11–13-0.0135%2 Sept →
inferno13–5-0.027%2 Sept →
train13–10.0930%1 Sept →
overpass8–20.0233%1 Sept →
cache12–120.0217%1 Sept →
train11–130.0016%31 Aug →
mirage13–10.0233%31 Aug →
cache12–12-0.0341%31 Aug →
vertigo13–30.1626%31 Aug →
mirage6–13-0.0420%31 Aug →
dust25–13-0.0318%31 Aug →
inferno13–6-0.054%31 Aug →
train8–13-0.0619%26 Aug →
cache3–60.0122%26 Aug →
nuke12–120.0112%26 Aug →
dust27–13-0.0417%26 Aug →
overpass13–8-0.0117%25 Aug →
mirage13–90.0218%25 Aug →
dust26–13-0.0324%25 Aug →
ancient13–2-0.0120%25 Aug →
inferno13–60.0616%25 Aug →
mirage13–100.0119%25 Aug →
nuke13–11-0.0420%20 Aug →
inferno10–13-0.0329%20 Aug →
dust212–120.0114%20 Aug →
mirage13–100.0613%18 Aug →
mirage7–13-0.0821%13 Aug →
mirage13–50.1517%9 Aug →
vertigo11–13-0.0115%9 Jun →
inferno13–90.0124%6 Jun →
dust213–100.0515%18 Mar →
dust25–13-0.0721%27 Feb →
inferno13–60.0019%26 Feb →
dust213–60.0724%20 Feb →
dust213–50.0021%20 Feb →
mirage6–130.0328%20 Feb →
dust213–60.067%20 Feb →
dust212–120.0010%19 Feb →
inferno13–70.0835%18 Feb →
dust213–70.0417%18 Feb →
dust213–10-0.028%18 Feb →
dust213–60.0222%14 Feb →
mirage13–6-0.0123%14 Feb →
inferno13–90.0720%13 Feb →
mirage13–50.0723%13 Feb →
dust213–80.0525%13 Feb →
dust212–120.0522%12 Feb →
inferno8–130.0232%12 Feb →
dust213–100.0320%11 Feb →
stronghold9–130.0145%4 Feb →
mirage3–130.0127%4 Feb →
dust211–130.0120%4 Feb →
vertigo8–13-0.0213%4 Feb →
inferno13–11-0.0527%29 Jan →
inferno12–16-0.067%28 Jan →
mirage1–13-0.049%24 Jan →
nuke13–6-0.048%24 Jan →
overpass13–100.0923%23 Jan →
ancient5–130.0717%18 Jan →
mirage13–80.0133%18 Jan →
ancient8–13-0.0024%10 Jan →
train5–13-0.0111%10 Jan →
mirage7–13-0.0220%31 Dec →
nuke13–11-0.0224%20 Dec →
vertigo4–130.0227%20 Dec →
inferno9–13-0.1027%15 Dec →
mirage13–70.2026%5 Dec →
mirage13–50.1525%3 Dec →
inferno13–9-0.0331%23 Nov →
anubis13–110.0319%19 Nov →
inferno13–70.0319%19 Nov →
mirage7–13-0.0233%17 Nov →
dust213–7-0.0131%2 Nov →

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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