GiveawaySign In
Rollin en Corbillard

Rollin en Corbillard — CS2 Stats

CG76561198279187590[U:1:318921862]Steam profile ↗✓ No bans

96Tracked matches10%Win rate2021Tracked since
CSDB Rating1.7 Learning
Ladder ranks via Leetify

Performance scores

Aim10
Positioning13
Utility35

0–100 skill scores via Leetify.

Recent form

COLD26–62–7Last 9527%Win rateLLTLLLLLLL

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

Aim1.0
Aggression0.0
Utility3.5
Positioning1.3
Opening Duels0.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 51% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower opening-fight frequency; 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. 703ms 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

Aim1.0
Positioning1.3
Utility3.5
Mechanics3.8
Opening Duels0.0
Win Impact0.0

Composite 1.7/10 (Learning), 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-0.07+0.03
first ⅓ avg -0.10 → last ⅓ avg -0.07
Reaction time714ms−69ms
first ⅓ avg 784ms → last ⅓ avg 714ms
Headshot accuracy10.8%+2.4%
first ⅓ avg 8.5% → last ⅓ avg 10.8%

Rolling 5-match average across the last 95 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.14Best rating — office 13–2
13–1Biggest win — train
4Longest win streak
L2Current streak
3–5In matches decided by ≤2 rounds
1Overtime games

Map breakdown

cacheBest map · 45% over 20ancientWeakest map · 0% over 6
MapGradePlayedRecordWin rateAvg rating
cacheB209–1145%-0.07
mirageC176–1135%-0.08
trainD152–1313%-0.07
dust2C145–936%-0.08
infernoD82–625%-0.09
ancientD60–60%-0.11
nuke—40–40%-0.13
office—41–325%-0.02
vertigo—31–233%-0.06
anubis—20–20%-0.12
palais—10–10%-0.27
overpass—10–10%-0.19

Across the last 95 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (0% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Skill profile

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

10.9%Headshot accuracy
22.0%Accuracy (enemy spotted)
23.3%Spray accuracy
66.9%Counter-strafing
12.2°Preaim
703msReaction time
12.4%T opening success
14.1%CT opening success
0.53Enemies flashed / flash
7.8%Flash assists
6.09HE damage / grenade
1.82Flashes / 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 12.2476° — above the 12° mark we flag

    Aim Training →
  2. 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 10.9068% — below the 15% mark we flag

    Aim Training →
  3. 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 703.0448ms — above the 700ms mark we flag

    Aim Training →
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.

0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage7–13-0.0920%27 Aug →
anubis9–13-0.150%27 Aug →
nuke12–12-0.0711%27 Aug →
ancient4–13-0.088%27 Aug →
dust29–13-0.0811%27 Aug →
mirage1–10-0.050%15 Aug →
mirage0–13-0.090%14 Aug →
vertigo6–13-0.118%14 Aug →
mirage1–13-0.0714%14 Aug →
train2–13-0.103%13 Aug →
train7–13-0.0416%12 Aug →
train9–13-0.0813%12 Aug →
train1–13-0.0117%12 Aug →
ancient5–13-0.1111%6 Aug →
ancient7–13-0.109%6 Aug →
office11–13-0.068%6 Aug →
inferno7–13-0.094%5 Aug →
vertigo11–13-0.0414%4 Aug →
inferno3–13-0.0616%3 Aug →
mirage11–13-0.0817%3 Aug →
train4–13-0.0514%3 Aug →
mirage9–13-0.0621%28 Jul →
office10–13-0.0511%20 Jul →
dust24–13-0.148%19 Jul →
inferno8–13-0.0315%19 Jul →
office5–13-0.109%13 Jul →
office13–20.1413%13 Jul →
inferno6–3-0.130%13 Jul →
mirage13–6-0.0217%12 Jul →
anubis5–13-0.0913%12 Jul →
cache12–12-0.1018%18 Jun →
train6–13-0.056%18 Jun →
train13–10.0120%18 Jun →
dust26–13-0.1111%13 Jun →
mirage13–3-0.1021%13 Jun →
ancient9–13-0.119%13 Jun →
vertigo13–11-0.0313%8 Jun →
ancient9–13-0.120%8 Jun →
dust213–4-0.0812%4 Jun →
nuke1–13-0.140%4 Jun →
mirage13–2-0.0529%29 May →
nuke5–9-0.190%29 May →
cache2–9-0.100%27 May →
mirage10–13-0.106%27 May →
dust213–9-0.060%22 May →
dust213–4-0.087%22 May →
cache5–13-0.098%22 May →
cache3–00.100%22 May →
dust213–5-0.0617%21 May →
inferno13–8-0.0617%21 May →
mirage13–7-0.0715%21 May →
ancient8–13-0.124%21 May →
dust213–11-0.0911%20 May →
dust26–13-0.150%20 May →
mirage11–13-0.0519%20 May →
cache13–9-0.0921%20 May →
cache4–13-0.073%20 May →
inferno3–13-0.0723%19 May →
dust26–13-0.0811%19 May →
cache13–8-0.0613%18 May →
cache12–12-0.0714%18 May →
mirage13–10-0.048%18 May →
cache3–13-0.0928%18 May →
mirage13–10-0.088%17 May →
cache13–11-0.040%17 May →
dust26–13-0.073%17 May →
cache4–13-0.155%17 May →
nuke12–12-0.100%17 May →
mirage7–13-0.155%17 May →
dust211–13-0.128%17 May →
inferno12–12-0.047%16 May →
cache12–12-0.1114%16 May →
cache5–0-0.160%16 May →
cache10–13-0.0617%16 May →
cache13–5-0.054%16 May →
cache13–10-0.067%16 May →
cache7–13-0.0813%16 May →
cache13–10-0.0612%15 May →
cache3–13-0.036%15 May →
cache13–9-0.076%15 May →
train3–13-0.077%15 May →
train10–13-0.130%13 May →
dust26–13-0.0650%28 Jan →
mirage2–13-0.130%18 Nov →
palais3–9-0.2712%18 Nov →
train9–13-0.1415%17 Nov →
train13–10-0.117%17 Nov →
train1–5-0.0210%17 Nov →
train3–8-0.100%16 Nov →
train5–13-0.0510%16 Nov →
train12–12-0.1113%15 Nov →
mirage5–13-0.103%29 Oct →
inferno5–9-0.2717%29 Oct →
overpass4–9-0.1911%29 Oct →
dust29–160.000%25 Mar →

Match data via Leetify.

Recent teammates

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

Explore CSDB.gg

Related

Sensitivity ConverterConvert sensitivity between CS2 and other gameseDPI CalculatorCalculate your effective DPIcm/360 CalculatorMouse distance per full turnResolution CalculatorCompare aspect ratios and resolutionsCrosshair GeneratorBuild and preview custom crosshairs

Tools

Sticker Craft MakerPlan and price a CS2 sticker craft with live prices on every pieceCS2 Stats TrackerLook up any player: Premier rating, Faceit level, matches and skill breakdownTrust Factor CheckerEstimate your CS2 Trust Factor from the signals Valve has acknowledged

Learn & Explore

Most Traded CS2 SkinsRanked by completed sales — transaction data, not listingsCheapest Knives in CS2Every knife type ranked by its cheapest live priceCheapest Gloves in CS2Every glove model ranked by its cheapest live price