Pascal_0bistro

Pascal_0bistro — CS2 Stats

FR76561199224949453[U:1:1264683725]Steam profile ↗✓ No bans

790Tracked matches34%Win rate2024Tracked since
607Hours in CS2Hrs last 2 wks
CSDB Rating4.0 DevelopingPositional Player
Premier CS Rating8,622Light Blue band · top ~61.5% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Oct 2026 (14 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: 8,622 +3,117 24 Sept – 31 Oct · 20 days played
5,5058,844peak 8,84424 Sept31 Oct
9,269Peak Premier in tracked matches
24Days played since 2026-09-22

Premier CS Rating

  • 222 below peak (8,844)
  • +2,088 over 30 days · improving
  • Next: Blue band at 10,000 — 1,378 to go
  • Reached: Light 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 Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate45.4%39.9%42.0%above
Shot accuracy0.1%7.0%9.6%9.6% short
Kill/death ratio1.030.920.98above
Match win rate42.9%42.3%43.8%meets

This profile matches the typical Blue band player on 3 of 4 comparable metrics.

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

Share this profile

CSDB.GGPascal_0bistroPREMIER8,622 · Light Blue 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

Aim57
Positioning52
Utility31

0–100 skill scores via Leetify.

Recent form

COLD34–62–4Last 10034%Win rateTLLWLLLLWW

Last 10 vs previous 10: +10pp win rate · −0.04 avg rating · −7.9pp headshot accuracy · −20ms reaction

Win rate +10pp 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 10%
  • Avg reaction 580ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 10%
  • Avg reaction 613ms

Last 20

  • 5–14–1 · 25% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 623ms

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 (+2.1 against its own average).

Aim5.7
Utility3.1
Positioning5.2
Opening Duels0.9

Strong CT-side openerLimited 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

iM

Plays most like iM 86% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

Reaction time. 615ms 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

Aim5.7
Positioning5.2
Utility3.1
Mechanics6.5
Opening Duels3.0
Win Impact0.0

Composite 4.0/10 (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-0.03−0.04
first ⅓ avg 0.01 → last ⅓ avg -0.03
Reaction time611ms−19ms
first ⅓ avg 630ms → last ⅓ avg 611ms
Headshot accuracy15.2%−2.1%
first ⅓ avg 17.2% → last ⅓ avg 15.2%

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

0.12Best match rating · 13–2 · inferno, 22 Sept →
42%Best headshot accuracy · 3–13 · cache, 2 Oct →
344msFastest reaction time · 6–0 · dust2, 5 Oct →
13–1Biggest win · inferno, 27 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
4–10In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 44% over 16mirageWeakest map · 9% over 11
MapGradePlayedRecordWin rateAvg rating
nukeC3013–1743%-0.00
infernoC167–944%0.00
dust2C146–843%-0.01
mirageD111–109%-0.04
cacheD93–633%-0.03
anubisD82–625%0.00
ancientD71–614%0.00
office—30–30%-0.05
train—11–0100%0.03
poseidon—10–10%-0.10

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (9% over 11). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

15,212Lifetime kills
1.03K/D · Top 25% of Light Blue band
920Matches
42.9%Match win rate · Top 50% of Light Blue band
45.4%Headshot % · Top 25% of Light Blue band
0.1%Shot accuracy
2,135MVPs
330Hours (in match)
446Bombs planted
175Bombs defused

Most-used weapons

Lifetime map wins

1,711inferno
1,484dust2
1,369nuke
905office
400train
88vertigo
3ar_shoots
1ar_baggage

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.5%Headshot accuracy
34.4%Accuracy (enemy spotted)
35.4%Spray accuracy
79.2%Counter-strafing
11.0°Preaim
615msReaction time
42.1%T opening success
41.7%CT opening success
0.34Enemies flashed / flash
2.4%Flash assists
8.96HE damage / grenade
2.71Flashes / 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 14.5289% — below the 15% mark we flag

    Aim Training →
  2. 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 0.3358 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Mirage

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

9% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
office12–12-0.069%10 Nov →
nuke4–13-0.0716%31 Oct →
inferno9–130.0011%31 Oct →
nuke13–90.028%30 Oct →
nuke5–13-0.066%29 Oct →
inferno3–13-0.115%29 Oct →
nuke5–13-0.093%29 Oct →
cache4–13-0.0810%29 Oct →
nuke13–7-0.0222%29 Oct →
nuke13–9-0.0213%28 Oct →
nuke13–50.0715%28 Oct →
cache16–13-0.049%28 Oct →
nuke9–13-0.0012%21 Oct →
dust211–130.0116%21 Oct →
nuke10–13-0.0014%21 Oct →
nuke11–130.0423%19 Oct →
dust25–13-0.0529%18 Oct →
inferno5–13-0.0521%18 Oct →
mirage7–13-0.0227%18 Oct →
mirage7–13-0.0516%16 Oct →
nuke13–3-0.0417%15 Oct →
mirage8–130.0118%15 Oct →
mirage16–14-0.0312%15 Oct →
inferno8–13-0.0415%15 Oct →
mirage4–13-0.0715%14 Oct →
cache9–13-0.0216%14 Oct →
cache13–5-0.047%14 Oct →
train13–40.0317%14 Oct →
office8–13-0.0226%14 Oct →
nuke13–60.018%13 Oct →
dust210–13-0.0519%13 Oct →
ancient10–13-0.0513%13 Oct →
office7–10-0.0632%7 Oct →
nuke5–130.0217%7 Oct →
mirage11–13-0.0211%7 Oct →
inferno13–90.0821%7 Oct →
nuke1–13-0.1015%7 Oct →
anubis7–13-0.0017%7 Oct →
mirage2–13-0.1012%7 Oct →
dust28–13-0.0814%6 Oct →
nuke14–16-0.0417%6 Oct →
inferno7–13-0.0410%6 Oct →
nuke13–110.0114%6 Oct →
anubis7–13-0.0717%6 Oct →
anubis13–9-0.0120%6 Oct →
dust213–8-0.0218%5 Oct →
cache11–13-0.0222%5 Oct →
anubis7–130.0012%5 Oct →
nuke15–15-0.0312%5 Oct →
nuke13–90.0115%5 Oct →
dust26–0-0.0225%5 Oct →
ancient9–13-0.0414%4 Oct →
nuke15–150.0113%4 Oct →
cache13–6-0.0018%4 Oct →
inferno10–13-0.0718%4 Oct →
dust22–13-0.1113%4 Oct →
poseidon6–9-0.1024%4 Oct →
inferno9–2-0.0624%4 Oct →
dust213–40.0519%2 Oct →
nuke13–60.0128%2 Oct →
anubis8–130.0222%2 Oct →
inferno8–13-0.0118%2 Oct →
cache3–13-0.0642%2 Oct →
anubis8–130.0417%1 Oct →
dust213–60.0730%1 Oct →
anubis13–70.0625%1 Oct →
nuke4–130.0116%1 Oct →
inferno13–50.0018%1 Oct →
dust28–13-0.0212%1 Oct →
inferno13–60.0123%30 Sept →
mirage7–13-0.068%30 Sept →
cache11–130.0022%30 Sept →
mirage5–130.0022%30 Sept →
mirage11–13-0.0340%30 Sept →
inferno4–13-0.0114%30 Sept →
nuke6–13-0.0320%30 Sept →
ancient4–13-0.0424%27 Sept →
nuke13–8-0.0220%27 Sept →
cache11–130.0118%27 Sept →
nuke6–13-0.0314%27 Sept →
nuke7–130.029%27 Sept →
dust216–130.0418%27 Sept →
nuke13–30.1012%27 Sept →
dust25–130.0521%27 Sept →
nuke7–130.0416%27 Sept →
dust210–130.0124%27 Sept →
ancient13–70.0216%27 Sept →
inferno13–10.0515%27 Sept →
ancient14–160.0612%26 Sept →
dust213–50.0120%26 Sept →
anubis3–9-0.0430%26 Sept →
nuke13–11-0.0114%24 Sept →
inferno3–130.0321%24 Sept →
ancient11–130.0114%23 Sept →
inferno13–110.1018%23 Sept →
nuke13–80.0314%23 Sept →
nuke8–130.0211%22 Sept →
ancient1–130.049%22 Sept →
inferno13–20.129%22 Sept →
mirage15–15-0.0113%22 Sept →

Match data via Leetify.

Recent teammates

Milestones

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

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