adolphe chealter

adolphe chealter — CS2 Stats

76561198899506852[U:1:939241124]Steam profile ↗✓ No bans

1,316Tracked matches62%Win rate2020Tracked since
3,412Hours in CS24Hrs last 2 wks
CSDB Rating5.6 SolidSupport
Premier CS Rating4,159Grey band · top ~82.4% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+197Premier CS Rating · 3,962 → 4,159

Rating over time

Premier CS Rating: 4,159 -840 9 Sept – 14 Nov · 25 days played
3,0177,966peak 7,9669 Sept14 Nov
8,398Peak Premier in tracked matches
26Days played since 2026-09-09

Premier CS Rating

  • 3,807 below peak (7,966)
  • -3,029 over 30 days · declining
  • Next: Light Blue band at 5,000 — 841 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 Grey band among CSDB-tracked players (n=3,645), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate49.5%38.2%39.9%above
Shot accuracy9.6%3.6%7.0%above
Kill/death ratio1.050.830.92above
Match win rate39.5%40.2%42.3%2.8% short

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

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

Share this profile

CSDB.GGadolphe chealterPREMIER4,159 · Grey bandcsdb.gg/stats

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Performance scores

Aim56
Positioning56
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY52–46–2Last 10052%Win rateWWLWLLLTWL

Last 10 vs previous 10: −40pp win rate · −0.00 avg rating · −0.6pp headshot accuracy · −27ms reaction

Win rate down 40pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 22%
  • Avg reaction 669ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 25%
  • Avg reaction 752ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 25%
  • Avg reaction 765ms

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: Support — Utility contribution stands above the rest of this profile (+1.2 against its own average).

Aim5.6
Utility5.9
Positioning5.6
Opening Duels2.5

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

Twistzz

Plays most like Twistzz 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

Reaction time. 769ms 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

Aim5.6
Positioning5.6
Utility5.9
Mechanics8.3
Opening Duels3.7
Win Impact9.0

Composite 5.6/10 (Solid), 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 rating0.03+0.03
first ⅓ avg 0.00 → last ⅓ avg 0.03
Reaction time756ms+19ms
first ⅓ avg 737ms → last ⅓ avg 756ms
Headshot accuracy24.6%−1.0%
first ⅓ avg 25.6% → last ⅓ avg 24.6%

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

0.22Best match rating · 9–3 · inferno, 26 Sept →
58%Best headshot accuracy · 7–13 · dust2, 26 Sept →
438msFastest reaction time · 5–1 · inferno, 14 Nov →
13–1Biggest win · inferno, 13 Nov →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
7–6In matches decided by ≤2 rounds
11Overtime games

Map breakdown

anubisBest map · 80% over 5mirageWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
dust2C2811–1739%0.01
cacheS1913–668%0.01
infernoS1510–567%0.03
mirageD134–931%-0.01
nukeB115–645%0.02
ancientA95–456%0.01
anubisS54–180%0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (31% over 13). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

75,892Lifetime kills
1.05K/D · Top 25% of Grey band
4,013Matches
39.5%Match win rate
49.5%Headshot % · Top 10% of Grey band
9.6%Shot accuracy · Top 50% of Grey band
10,747MVPs
1,483Hours (in match)
4,654Bombs planted
883Bombs defused

Most-used weapons

Lifetime map wins

6,809inferno
4,470dust2
3,263nuke
880vertigo
710train
298cbble
56ar_shoots
55office

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.

23.6%Headshot accuracy
36.9%Accuracy (enemy spotted)
40.1%Spray accuracy
87.3%Counter-strafing
14.9°Preaim
769msReaction time
41.2%T opening success
48.1%CT opening success
0.55Enemies flashed / flash
6.4%Flash assists
12.86HE damage / grenade
6.80Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 14.9461° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 769.0474ms — above the 700ms mark we flag

    Aim Training →
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.

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–30.1517%14 Nov →
inferno5–10.0325%14 Nov →
dust26–13-0.0115%14 Nov →
anubis13–80.0527%13 Nov →
nuke10–130.0328%13 Nov →
inferno7–13-0.0821%13 Nov →
ancient4–13-0.117%13 Nov →
dust215–150.0423%13 Nov →
inferno13–10.1552%13 Nov →
inferno2–13-0.0133%13 Nov →
cache13–70.0934%13 Nov →
cache13–50.0831%13 Nov →
cache13–110.0127%13 Nov →
mirage16–140.0933%13 Nov →
inferno13–10-0.0623%12 Nov →
inferno13–6-0.0412%12 Nov →
ancient14–160.0122%12 Nov →
anubis9–13-0.0115%12 Nov →
anubis13–5-0.0227%12 Nov →
cache13–50.1030%7 Nov →
dust23–13-0.0729%7 Nov →
dust216–120.0719%6 Nov →
mirage13–160.0524%2 Nov →
dust213–70.0826%2 Nov →
inferno16–130.0221%30 Oct →
cache13–100.0522%27 Oct →
cache13–20.019%27 Oct →
cache1–50.0138%27 Oct →
nuke10–13-0.0123%24 Oct →
ancient13–90.0811%24 Oct →
inferno9–20.1836%24 Oct →
dust213–100.0426%24 Oct →
mirage13–50.1525%24 Oct →
dust213–70.1121%24 Oct →
ancient11–130.0419%24 Oct →
inferno13–50.0417%24 Oct →
dust27–130.0227%23 Oct →
inferno5–13-0.0218%23 Oct →
mirage13–7-0.0015%15 Oct →
dust216–14-0.0629%14 Oct →
cache13–11-0.0326%13 Oct →
mirage6–13-0.0529%13 Oct →
dust26–13-0.0215%13 Oct →
inferno9–13-0.0337%13 Oct →
cache13–10-0.0224%12 Oct →
dust213–60.0740%12 Oct →
dust213–8-0.0227%12 Oct →
dust27–13-0.0111%11 Oct →
nuke13–40.0516%11 Oct →
dust211–130.0015%11 Oct →
inferno13–90.0716%11 Oct →
dust216–130.0230%7 Oct →
ancient16–140.0324%7 Oct →
nuke10–130.0022%7 Oct →
mirage9–13-0.0619%6 Oct →
dust213–40.0427%6 Oct →
dust26–130.0527%6 Oct →
dust25–13-0.0633%6 Oct →
mirage1–13-0.1012%6 Oct →
dust211–130.0325%6 Oct →
cache8–13-0.0121%6 Oct →
mirage13–7-0.0432%6 Oct →
mirage2–13-0.0133%6 Oct →
dust26–130.0414%6 Oct →
ancient13–70.0225%6 Oct →
nuke5–130.0235%6 Oct →
ancient13–80.027%6 Oct →
nuke10–130.0113%5 Oct →
dust29–13-0.0119%4 Oct →
cache13–60.0928%4 Oct →
inferno13–10-0.0023%4 Oct →
anubis13–80.1130%4 Oct →
dust213–100.0523%1 Oct →
dust26–13-0.0329%1 Oct →
dust211–130.0617%1 Oct →
dust213–110.0221%30 Sept →
anubis16–130.0133%30 Sept →
mirage7–130.0523%30 Sept →
ancient5–13-0.0824%30 Sept →
cache10–130.0219%29 Sept →
nuke13–40.0429%28 Sept →
nuke2–9-0.1527%26 Sept →
inferno9–30.2216%26 Sept →
nuke9–30.0811%26 Sept →
cache10–13-0.0725%26 Sept →
inferno8–13-0.0322%26 Sept →
dust27–13-0.0258%26 Sept →
cache4–13-0.0422%23 Sept →
mirage6–13-0.0820%23 Sept →
cache13–30.0248%23 Sept →
mirage6–13-0.1119%23 Sept →
cache13–7-0.0219%23 Sept →
cache13–8-0.0416%23 Sept →
nuke13–50.0246%23 Sept →
dust211–13-0.0138%23 Sept →
mirage15–15-0.0110%23 Sept →
cache13–110.0119%23 Sept →
cache4–13-0.0240%23 Sept →
ancient13–100.0825%22 Sept →
dust23–13-0.0333%22 Sept →

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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