off*******

off******* — CS2 Stats

CR76561199079882612[U:1:1119616884]Steam profile ↗✓ No bans

2,470Tracked matches57%Win rate2020Tracked since
CSDB Rating4.4 DevelopingAll-Rounder
FaceitLevel 8 · 1,344 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,344 → 1,344
+3Tracked matches · now 2,470
0.0ppWin rate · 56.7% → 56.7%
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. 54 days played since 14 May 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 18,909 +1,546 15 May22 May · 3 days played
17,36318,909peak 18,90915 May22 May
Faceit ELO: 1,344 +0 14 Sept17 Sept · 2 observations
1,3441,344peak 1,34414 Sept17 Sept
19,180Peak Premier in tracked matches
1,344Highest Faceit ELO seen on CSDB
54Days played since 2026-05-14

Faceit ELO

  • At peak — 1,344
  • Next: Level 7 at 1,351 7 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-09-14
  • Level 5 first seen 2026-09-14

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.

Share this profile

CSDB.GGoff*******FACEITLevel 8 · 1,344 ELOSTANDINGTop 31.2% of rankedPEAK ELO1,344csdb.gg/stats

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Performance scores

Aim51
Positioning50
Utility51

0–100 skill scores via Leetify.

Recent form

HOT51472Last 10051%Win rateWLWWWWWLLW

Last 10 vs previous 10: +30pp win rate · +0.08 avg rating · +3.4pp headshot accuracy · −6ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 41 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 22%
  • Avg reaction 591ms

Last 10

  • 73 · 70% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 22%
  • Avg reaction 601ms

Last 20

  • 119 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 604ms

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: All-RounderNo style dimension stands clear of the others in this profile.

Aim5.1
Utility5.1
Positioning5.0
Opening Duels4.0
Clutch3.4

Strong CT-side opener

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

ZywOo

Plays most like ZywOo 77% 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

T-side openings. Opening success drops from 60% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 588ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim5.1
Positioning5.0
Utility5.1
Mechanics3.7
Opening Duels3.7
Win Impact7.2

Composite 4.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time604ms+34ms
first ⅓ avg 570ms → last ⅓ avg 604ms
Headshot accuracy20.4%−0.6%
first ⅓ avg 21.0% → last ⅓ avg 20.4%

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

0.11Best match rating · 13–6 · nuke, 4 Sept
41%Best headshot accuracy · 13–5 · dust2, 17 Aug
375msFastest reaction time · 3–13 · anubis, 12 Aug
13–3Biggest win · ancient, 9 Sept

Across the last 100 tracked matches.

Highlights

6Longest win streak
129In matches decided by ≤2 rounds
12Overtime games

Map breakdown

dust2Best map · 71% over 7infernoWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageA2415963%-0.02
anubisC2071335%-0.02
ancientA1912763%-0.01
nukeB126650%-0.00
cacheC94544%0.00
dust2S75271%-0.01
infernoD51420%-0.06
overpass41325%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,966Matches
50%Win rate
0.99Avg K/D
74.4ADR
46%Headshot %

Clutches & streaks

37%1v1 clutch win
20%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage66348%1.0215.8
Anubis29350%0.9714.6
Ancient29252%0.9715.2
Nuke27753%1.0515.4
Dust216146%0.9114.1
Overpass9253%1.0115.0
Train8051%1.0115.6
Inferno3949%0.8613.1

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.

20.6%Headshot accuracy
30.0%Accuracy (enemy spotted)
33.3%Spray accuracy
66.8%Counter-strafing
10.4°Preaim
588msReaction time
27.0%T opening success
59.8%CT opening success
0.63Enemies flashed / flash
9.9%Flash assists
7.92HE damage / grenade
5.23Flashes / 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. 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 27.0157% — below the 40% mark we flag

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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke22–180.0425%14 Sept
nuke5–13-0.0330%12 Sept
ancient13–100.0116%12 Sept
ancient13–30.1119%9 Sept
cache13–80.0320%8 Sept
overpass13–6-0.0320%5 Sept
cache13–11-0.0020%5 Sept
overpass5–13-0.0220%5 Sept
cache9–130.0419%4 Sept
nuke13–60.1137%4 Sept
nuke10–13-0.0623%1 Sept
anubis3–13-0.0426%31 Aug
mirage9–13-0.0317%31 Aug
cache11–13-0.0530%23 Aug
inferno3–9-0.2310%23 Aug
nuke13–80.0118%23 Aug
anubis10–13-0.0820%19 Aug
ancient13–9-0.0713%18 Aug
mirage19–170.0015%18 Aug
mirage22–20-0.0219%17 Aug
dust213–50.0041%17 Aug
anubis3–130.0323%12 Aug
ancient11–13-0.0321%9 Aug
mirage13–8-0.0414%9 Aug
anubis13–50.0523%6 Aug
mirage13–9-0.0119%6 Aug
ancient7–13-0.0510%29 Jul
ancient13–11-0.0117%29 Jul
mirage11–13-0.1017%26 Jul
anubis11–13-0.0020%25 Jul
dust213–100.0519%21 Jul
nuke13–70.0215%19 Jul
ancient13–90.0121%18 Jul
ancient16–14-0.0112%18 Jul
anubis13–70.0327%17 Jul
nuke9–130.0022%17 Jul
mirage8–13-0.0721%12 Jul
cache12–12-0.0521%8 Jul
cache13–30.0321%8 Jul
anubis6–13-0.0512%7 Jul
dust213–9-0.0213%6 Jul
mirage13–10-0.0317%1 Jul
mirage4–130.0034%1 Jul
ancient13–5-0.0213%30 Jun
ancient13–100.1014%29 Jun
anubis13–6-0.029%28 Jun
nuke13–110.0212%24 Jun
anubis13–4-0.0015%24 Jun
dust213–7-0.0729%23 Jun
nuke8–13-0.0514%21 Jun
anubis12–160.0115%21 Jun
mirage13–6-0.018%20 Jun
mirage13–11-0.0114%20 Jun
mirage5–130.0617%20 Jun
ancient11–130.0410%19 Jun
dust24–13-0.0417%19 Jun
mirage19–16-0.0412%18 Jun
ancient19–170.0111%17 Jun
ancient10–13-0.0721%16 Jun
nuke7–13-0.0510%16 Jun
anubis5–13-0.0030%16 Jun
mirage13–9-0.0026%16 Jun
mirage8–13-0.0222%15 Jun
anubis6–13-0.0721%15 Jun
mirage19–16-0.0424%14 Jun
inferno8–13-0.0221%14 Jun
mirage11–130.039%14 Jun
inferno13–8-0.0218%12 Jun
anubis11–130.024%12 Jun
cache3–13-0.0626%10 Jun
mirage7–13-0.0233%10 Jun
ancient13–8-0.0515%8 Jun
anubis16–14-0.0314%8 Jun
ancient8–13-0.0415%8 Jun
mirage19–15-0.0015%8 Jun
anubis9–130.0030%7 Jun
ancient13–6-0.0223%4 Jun
cache13–110.0726%31 May
anubis13–6-0.0323%30 May
ancient8–13-0.1013%26 May
anubis7–13-0.137%26 May
anubis7–13-0.0628%26 May
anubis6–13-0.0816%26 May
anubis16–13-0.0417%26 May
mirage13–11-0.0113%26 May
mirage9–13-0.0221%26 May
nuke4–130.0128%24 May
inferno7–13-0.0718%22 May
overpass8–13-0.0529%22 May
mirage13–10-0.0222%22 May
ancient15–15-0.0327%22 May
dust213–4-0.0240%22 May
dust24–130.0121%20 May
mirage13–9-0.0115%17 May
nuke13–11-0.0721%17 May
mirage13–100.0224%17 May
ancient13–80.0019%17 May
cache11–130.0124%15 May
inferno11–130.0525%15 May
overpass3–13-0.0126%14 May

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →