ob1to

ob1to — CS2 Stats

JP76561198146046621[U:1:185780893]Steam profile ↗✓ No bans

1,432Tracked matches50%Win rate2020Tracked since
CSDB Rating5.3 DevelopingAll-Rounder
FaceitLevel 9 · 1,974 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (63 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,974 → 1,974
+1Tracked matches · now 1,432
0.0ppWin rate · 50.0% → 50.0%

Rating over time

Premier CS Rating: 16,503 +975 11 Dec – 10 Jan · 6 days played
15,52816,624peak 16,62411 Dec10 Jan
16,624Peak Premier in tracked matches
1,974Highest Faceit ELO seen on CSDB
69Days played since 2025-11-29

Faceit ELO

  • At peak — 1,974
  • Next: Level 10 at 2,001 — 27 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-13
  • Level 8 first seen 2026-09-13

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.GGob1toFACEITLevel 9 · 1,974 ELOSTANDINGTop 20.7% of rankedPEAK ELO1,974csdb.gg/stats

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Performance scores

Aim75
Positioning44
Utility40

0–100 skill scores via Leetify.

Recent form

STEADY47–49–4Last 10047%Win rateWLLLWWWLWL

Last 10 vs previous 10: 0pp win rate · +0.03 avg rating · +1.7pp headshot accuracy · −113ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 28%
  • Avg reaction 651ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 25%
  • Avg reaction 590ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 24%
  • Avg reaction 646ms

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-Rounder — No style dimension stands clear of the others in this profile.

Aim7.5
Utility4.0
Positioning4.4
Opening Duels3.8
Clutch3.8

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 89% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower opening-duel success; lower positioning 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 30 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.

T-side openings. Opening success drops from 51% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 659ms 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

Aim7.5
Positioning4.4
Utility4.0
Mechanics7.0
Opening Duels3.0
Win Impact5.0

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.03
first ⅓ avg 0.03 → last ⅓ avg -0.00
Reaction time653ms+21ms
first ⅓ avg 631ms → last ⅓ avg 653ms
Headshot accuracy26.0%−8.2%
first ⅓ avg 34.2% → last ⅓ avg 26.0%

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

0.18Best match rating · 7–2 · dust2, 22 Jul →
63%Best headshot accuracy · 2–9 · dust2, 30 Nov →
438msFastest reaction time · 0–7 · ancient, 22 Jan →
13–1Biggest win · ancient, 12 Feb →

Across the last 100 tracked matches.

Highlights

4Longest win streak
6–3In matches decided by ≤2 rounds
6Overtime games

Map breakdown

anubisBest map · 75% over 8dust2Weakest map · 31% over 36
MapGradePlayedRecordWin rateAvg rating
dust2D3611–2531%0.02
mirageS2115–671%0.00
ancientD124–833%0.03
cacheD93–633%-0.02
anubisS86–275%-0.01
infernoS86–275%0.01
overpass—21–150%0.01
nuke—20–20%-0.03
train—11–0100%-0.03
vertigo—10–10%0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (31% over 36). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,061Matches
51%Win rate
1.05Avg K/D
85.7ADR
53%Headshot %

Clutches & streaks

39%1v1 clutch win
19%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage25549%1.0516.9
Inferno12354%1.0816.6
Ancient11947%0.9916.7
Anubis11653%1.0316.4
Vertigo7454%1.1317.2
Dust26850%1.0317.1
Nuke3456%1.1115.4
Overpass2157%0.9116.9

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.

27.7%Headshot accuracy
31.3%Accuracy (enemy spotted)
33.3%Spray accuracy
81.6%Counter-strafing
7.9°Preaim
659msReaction time
33.5%T opening success
50.5%CT opening success
0.49Enemies flashed / flash
9.1%Flash assists
6.58HE damage / grenade
5.12Flashes / 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 0.487 — 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 33.4948% — below the 40% mark we flag

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.

31% win rate across 36 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
dust27–20.1836%22 Jul →
anubis10–130.0224%22 Jul →
dust27–13-0.0130%21 Jul →
dust23–13-0.0429%19 Jul →
ancient13–20.0619%19 Jul →
inferno3–00.000%19 Jul →
mirage13–6-0.0118%9 Jul →
dust28–13-0.0633%9 Jul →
cache13–80.0228%9 Jul →
cache7–13-0.0131%1 Jul →
dust213–100.0119%27 Jun →
train13–5-0.0319%17 Jun →
dust210–130.0335%4 Jun →
dust213–4-0.0319%2 Jun →
cache10–13-0.0426%28 May →
anubis13–8-0.0329%27 May →
cache12–120.0224%12 May →
cache13–40.0224%5 May →
cache6–13-0.0713%4 May →
cache4–13-0.0123%1 May →
cache5–0-0.030%1 May →
cache7–13-0.0539%29 Apr →
mirage0–13-0.0725%23 Apr →
dust213–80.0131%22 Apr →
dust212–12-0.0448%15 Apr →
dust26–13-0.0244%9 Apr →
vertigo4–130.0322%8 Apr →
dust21–100.0938%6 Apr →
inferno13–90.0023%5 Apr →
anubis13–90.0431%1 Apr →
anubis13–110.0018%1 Apr →
dust210–13-0.0325%26 Mar →
mirage13–60.0135%26 Mar →
anubis13–11-0.120%22 Mar →
inferno13–9-0.0829%20 Mar →
mirage9–13-0.0519%18 Mar →
mirage13–4-0.0323%13 Mar →
dust213–40.0121%13 Mar →
inferno6–13-0.0814%13 Mar →
dust213–70.0531%5 Mar →
inferno3–130.0030%5 Mar →
ancient12–120.1128%4 Mar →
dust29–13-0.0445%26 Feb →
mirage13–3-0.0121%26 Feb →
mirage13–30.0241%18 Feb →
dust211–130.0219%13 Feb →
ancient1–130.0423%13 Feb →
ancient13–10.0118%12 Feb →
dust28–13-0.0026%12 Feb →
dust28–130.0411%12 Feb →
anubis13–11-0.0124%12 Feb →
ancient13–40.1018%5 Feb →
mirage19–150.0126%4 Feb →
ancient5–13-0.0325%3 Feb →
ancient3–13-0.0639%2 Feb →
overpass13–50.0022%29 Jan →
dust26–13-0.0134%29 Jan →
mirage6–13-0.0429%28 Jan →
anubis6–13-0.0424%27 Jan →
ancient13–90.1628%24 Jan →
ancient0–70.0338%22 Jan →
mirage3–13-0.0525%18 Jan →
mirage16–140.0428%11 Jan →
dust26–13-0.0317%10 Jan →
mirage13–30.0323%8 Jan →
nuke10–13-0.0633%1 Jan →
dust21–60.0329%31 Dec →
mirage13–60.1331%28 Dec →
dust23–130.0334%26 Dec →
mirage13–160.0429%22 Dec →
dust213–30.1335%18 Dec →
dust23–130.0226%17 Dec →
mirage13–100.0150%17 Dec →
dust213–90.0626%16 Dec →
mirage16–14-0.0232%12 Dec →
dust213–100.1042%11 Dec →
dust210–130.0643%10 Dec →
nuke14–160.0029%9 Dec →
dust26–130.0824%9 Dec →
dust28–130.0136%7 Dec →
ancient14–160.0135%6 Dec →
mirage4–8-0.0633%6 Dec →
overpass6–110.0345%6 Dec →
inferno13–70.0843%5 Dec →
dust29–130.1426%5 Dec →
mirage13–30.0150%4 Dec →
dust213–110.0426%3 Dec →
anubis13–60.0533%3 Dec →
ancient8–130.0028%3 Dec →
inferno13–20.0933%3 Dec →
dust25–130.0437%2 Dec →
dust212–12-0.0717%2 Dec →
inferno13–50.0533%1 Dec →
mirage13–10.0426%1 Dec →
mirage13–10.1228%1 Dec →
dust29–130.0244%30 Nov →
mirage13–8-0.0128%30 Nov →
dust22–9-0.0463%30 Nov →
dust213–10-0.0433%29 Nov →
ancient9–13-0.0731%29 Nov →

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 →

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