Ricky LaFleur

Ricky LaFleur — CS2 Stats

AU76561198229988900[U:1:269723172]Steam profile ↗1 game ban

217Tracked matches35%Win rate2023Tracked since
254Hours in CS
CSDB Rating3.4 LearningPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Sep 2026 (28 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 217 tracked matches. Play, then come back: the next observation lands here.

Rating over time

12,133Peak Premier in tracked matches
55Days played since 2025-05-03

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 30 days vs previous 30

No matches recorded between 21 Sep 2026 and 19 Oct 2026.

Measured 21 Sep 2026 → 19 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Performance scores

Aim48
Positioning34
Utility22

0–100 skill scores via Leetify.

Recent form

COLD32–56–12Last 10032%Win rateLLTWLWLLLT

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · −1.8pp headshot accuracy · −8ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 22%
  • Avg reaction 624ms

Last 10

  • 2–6–2 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 20%
  • Avg reaction 646ms

Last 20

  • 4–14–2 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 21%
  • Avg reaction 650ms

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 (+1.5 against its own average).

Aim4.8
Utility2.2
Positioning3.4
Opening Duels0.0

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 91% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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 28% on CT to 10% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 686ms 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

Aim4.8
Positioning3.4
Utility2.2
Mechanics6.6
Opening Duels0.0
Win Impact0.0

Composite 3.4/10 (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-0.04−0.02
first ⅓ avg -0.02 → last ⅓ avg -0.04
Reaction time692ms+38ms
first ⅓ avg 654ms → last ⅓ avg 692ms
Headshot accuracy21.6%+5.3%
first ⅓ avg 16.3% → last ⅓ avg 21.6%

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

0.12Best match rating · 13–3 · mirage, 26 Jul →
44%Best headshot accuracy · 13–7 · train, 1 Aug →
422msFastest reaction time · 0–13 · dust2, 1 Aug →
13–3Biggest win · ancient, 10 Nov →

Across the last 100 tracked matches.

Highlights

3Longest win streak
L2Current streak
5–3In matches decided by ≤2 rounds
2Overtime games

Map breakdown

infernoBest map · 44% over 18nukeWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2D357–2820%-0.03
mirageC229–1341%-0.03
infernoC188–1044%-0.03
ancientC135–838%-0.03
nukeD61–517%-0.03
anubis—30–30%-0.01
train—11–0100%-0.05
overpass—10–10%-0.03
grail—11–0100%-0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

23,219Lifetime kills
1.79K/D · Top 5% of tracked players
782Matches
46.0%Match win rate · Top 50% of tracked players
71.2%Headshot % · Top 1% of tracked players
5.2%Shot accuracy
810MVPs
254Hours (in match)
795Bombs planted
95Bombs defused

Most-used weapons

Lifetime map wins

1,639dust2
1,164inferno
825nuke
78vertigo
32train
9office
4italy
4cbble

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.

21.2%Headshot accuracy
27.7%Accuracy (enemy spotted)
32.8%Spray accuracy
79.8%Counter-strafing
10.5°Preaim
686msReaction time
10.4%T opening success
27.8%CT opening success
0.65Enemies flashed / flash
0.8%Flash assists
9.06HE damage / grenade
2.51Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.51 — below the 4 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 10.3678% — below the 40% mark we flag

Spend your practice time on Nuke

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust28–13-0.0923%20 Aug →
dust26–13-0.0529%16 Aug →
mirage12–12-0.0714%15 Aug →
dust213–50.0217%15 Aug →
inferno1–13-0.0825%15 Aug →
mirage13–5-0.0014%14 Aug →
dust210–13-0.0514%14 Aug →
mirage7–130.0124%26 Apr →
dust29–130.0124%3 Apr →
dust212–12-0.0316%22 Mar →
inferno0–13-0.0321%22 Mar →
mirage4–130.0230%20 Mar →
dust29–13-0.0620%15 Mar →
dust27–13-0.0131%13 Mar →
mirage6–13-0.0815%9 Mar →
mirage3–13-0.0516%14 Feb →
mirage13–10-0.0320%14 Feb →
dust28–13-0.0417%14 Feb →
nuke6–130.0129%14 Feb →
inferno13–11-0.0119%14 Feb →
dust212–12-0.0136%31 Jan →
nuke12–12-0.0919%31 Jan →
inferno13–9-0.058%15 Nov →
ancient13–6-0.0922%14 Nov →
inferno13–5-0.0419%14 Nov →
mirage7–13-0.0132%13 Nov →
dust210–13-0.0419%12 Nov →
inferno7–13-0.0722%12 Nov →
dust213–100.0221%10 Nov →
ancient13–3-0.0529%10 Nov →
nuke10–13-0.0429%5 Oct →
inferno4–13-0.0813%3 Oct →
ancient7–13-0.0826%2 Oct →
inferno13–11-0.039%1 Oct →
nuke4–10-0.019%1 Oct →
dust24–13-0.0110%1 Oct →
dust212–120.0719%29 Sept →
nuke13–5-0.0524%28 Sept →
dust213–70.0515%30 Aug →
mirage13–4-0.036%9 Aug →
ancient2–13-0.1023%9 Aug →
mirage7–0-0.0420%9 Aug →
dust29–13-0.0614%9 Aug →
dust213–100.0116%8 Aug →
mirage13–16-0.0616%8 Aug →
ancient3–10-0.0233%4 Aug →
dust20–13-0.060%1 Aug →
mirage9–13-0.076%1 Aug →
train13–7-0.0544%1 Aug →
ancient16–130.0315%1 Aug →
dust213–11-0.0021%1 Aug →
dust212–12-0.0416%31 Jul →
ancient5–13-0.0514%31 Jul →
dust212–12-0.0214%27 Jul →
ancient13–4-0.0319%27 Jul →
inferno13–7-0.049%26 Jul →
dust210–13-0.0322%26 Jul →
mirage13–11-0.0617%26 Jul →
inferno13–4-0.0618%26 Jul →
mirage13–30.1216%26 Jul →
dust210–13-0.0821%25 Jul →
mirage13–10-0.0623%25 Jul →
dust25–13-0.0126%21 Jul →
dust23–13-0.0510%20 Jul →
ancient9–130.0214%20 Jul →
overpass7–13-0.0315%19 Jul →
mirage10–13-0.0521%18 Jul →
anubis10–13-0.0310%7 Jul →
anubis12–120.0316%7 Jul →
inferno12–12-0.049%7 Jul →
ancient6–13-0.0220%6 Jul →
mirage12–120.0413%6 Jul →
anubis9–13-0.0310%5 Jul →
dust27–13-0.0230%5 Jul →
ancient8–13-0.0811%1 Jul →
nuke9–13-0.0111%1 Jul →
dust212–12-0.0213%1 Jul →
inferno12–12-0.0011%29 Jun →
dust28–130.0316%27 Jun →
mirage13–7-0.1015%13 Jun →
dust213–6-0.0312%13 Jun →
inferno13–40.1025%9 Jun →
inferno6–8-0.0223%29 May →
ancient13–110.0517%29 May →
mirage11–13-0.0216%25 May →
mirage9–130.018%24 May →
ancient7–130.0129%24 May →
dust213–10-0.0616%22 May →
dust28–13-0.0218%22 May →
dust26–13-0.0819%19 May →
grail13–7-0.0415%9 May →
dust27–130.0117%9 May →
dust26–13-0.0520%9 May →
inferno6–130.0310%9 May →
inferno9–13-0.1417%8 May →
inferno11–13-0.0210%5 May →
inferno13–60.0114%4 May →
dust26–13-0.0842%4 May →
mirage13–30.0725%4 May →
mirage3–13-0.190%3 May →

Match data via Leetify.

Recent teammates

Milestones

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

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