David_Baguetta_

David_Baguetta_ — CS2 Stats

US76561198158868726[U:1:198602998]Steam profile ↗✓ No bans

813Tracked matches57%Win rate2021Tracked since
1,509Hours in CS22Hrs last 2 wks
CSDB Rating5.8 SolidPositional Player
WingmanGold Nova Master
Ladder ranks via Leetify

Performance scores

Aim66
Positioning57
Utility33

0–100 skill scores via Leetify.

Recent form

STEADY53–38–9Last 10053%Win rateLWLTWWWWLW

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · +0.8pp headshot accuracy · +10ms 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 531ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 547ms

Last 20

  • 11–7–2 · 55% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 542ms

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 (+1.7 against its own average).

Aim6.6
Utility3.3
Positioning5.7
Opening Duels2.9

Limited 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

jL

Plays most like jL 88% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

CT openings. Opening success drops from 57% on T to 37% on CT — first contacts on the defending side are being lost.

Reaction time. 554ms 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

Aim6.6
Positioning5.7
Utility3.3
Mechanics6.5
Opening Duels4.3
Win Impact7.4

Composite 5.8/10 (Solid), 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-0.02−0.03
first ⅓ avg 0.01 → last ⅓ avg -0.02
Reaction time559ms−17ms
first ⅓ avg 576ms → last ⅓ avg 559ms
Headshot accuracy12.1%−0.5%
first ⅓ avg 12.7% → last ⅓ avg 12.1%

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

0.15Best match rating · 3–1 · overpass, 29 Sept →
32%Best headshot accuracy · 10–13 · dust2, 26 Oct →
344msFastest reaction time · 8–13 · office, 9 Sept →
13–1Biggest win · vertigo, 30 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–4In matches decided by ≤2 rounds
3Overtime games

Map breakdown

officeBest map · 63% over 8dust2Weakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
nukeB3014–1647%0.00
vertigoA2615–1158%0.01
dust2C104–640%-0.01
anubisB84–450%-0.01
officeA85–363%-0.01
boulderA53–260%0.02
cache—31–233%-0.02
mirage—33–0100%-0.01
inferno—21–150%-0.04
train—21–150%-0.02
overpass—11–0100%0.15
ancient—11–0100%0.05
debris—10–10%-0.14

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

42,181Lifetime kills
1.03K/D · Top 50% of tracked players
2,794Matches
38.5%Match win rate
38.3%Headshot %
9.2%Shot accuracy
3,600MVPs
628Hours (in match)
2,062Bombs planted
224Bombs defused

Most-used weapons

Lifetime map wins

8,200nuke
1,349vertigo
1,245dust2
967office
239inferno
103train
73ar_shoots
73lake

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.

12.7%Headshot accuracy
30.5%Accuracy (enemy spotted)
39.7%Spray accuracy
79.2%Counter-strafing
8.4°Preaim
554msReaction time
56.8%T opening success
37.4%CT opening success
0.39Enemies flashed / flash
0.6%Flash assists
10.32HE damage / grenade
4.44Flashes / 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 12.7082% — 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 0.385 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 37.3742% — 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.

40% win rate across 10 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
dust210–13-0.047%1 Nov →
anubis13–60.027%1 Nov →
cache5–13-0.0818%1 Nov →
vertigo12–120.019%31 Oct →
office13–90.0417%31 Oct →
mirage13–110.0015%31 Oct →
dust216–14-0.0115%31 Oct →
inferno13–10-0.0213%31 Oct →
nuke5–13-0.087%31 Oct →
mirage16–14-0.095%31 Oct →
anubis15–15-0.0312%30 Oct →
nuke5–13-0.0811%30 Oct →
vertigo13–2-0.0010%30 Oct →
vertigo10–130.0010%30 Oct →
nuke13–3-0.0315%30 Oct →
dust29–13-0.067%30 Oct →
office13–6-0.0812%30 Oct →
office13–60.0211%30 Oct →
dust211–13-0.0610%27 Oct →
office13–40.046%26 Oct →
dust27–13-0.048%26 Oct →
anubis13–8-0.0025%26 Oct →
dust213–100.058%26 Oct →
dust210–130.0232%26 Oct →
nuke11–13-0.0512%26 Oct →
vertigo6–13-0.0815%22 Oct →
nuke6–13-0.0231%22 Oct →
cache13–50.078%21 Oct →
nuke13–3-0.0111%17 Oct →
dust213–8-0.0113%16 Oct →
nuke10–13-0.0111%15 Oct →
anubis9–00.010%15 Oct →
vertigo13–50.0010%14 Oct →
vertigo13–80.0411%14 Oct →
office6–13-0.030%14 Oct →
nuke13–50.0510%14 Oct →
nuke13–30.0311%14 Oct →
vertigo13–3-0.016%14 Oct →
nuke13–70.0711%13 Oct →
vertigo13–60.0122%13 Oct →
nuke12–12-0.005%13 Oct →
nuke13–70.016%12 Oct →
nuke12–12-0.0710%12 Oct →
train12–12-0.0616%10 Oct →
train13–20.0111%10 Oct →
nuke13–3-0.0411%2 Oct →
vertigo2–13-0.029%2 Oct →
vertigo13–5-0.079%30 Sept →
nuke10–130.067%30 Sept →
vertigo13–10.1015%30 Sept →
nuke8–13-0.016%30 Sept →
anubis3–130.0332%30 Sept →
overpass3–10.150%29 Sept →
vertigo3–13-0.033%29 Sept →
nuke13–6-0.0320%28 Sept →
nuke12–120.0015%28 Sept →
vertigo4–13-0.005%28 Sept →
nuke12–120.0112%27 Sept →
office13–11-0.0121%27 Sept →
boulder7–13-0.0314%27 Sept →
vertigo13–100.0116%27 Sept →
vertigo13–5-0.018%27 Sept →
vertigo13–80.0513%27 Sept →
vertigo5–13-0.0414%25 Sept →
boulder13–50.0513%21 Sept →
inferno9–13-0.0510%21 Sept →
mirage13–100.0714%21 Sept →
vertigo13–80.0116%20 Sept →
boulder6–13-0.0415%20 Sept →
office6–13-0.0024%20 Sept →
nuke12–120.0612%20 Sept →
vertigo13–80.038%20 Sept →
boulder13–70.078%19 Sept →
ancient13–50.0518%18 Sept →
vertigo10–10.1312%18 Sept →
boulder13–90.079%17 Sept →
dust23–130.0118%17 Sept →
nuke13–9-0.0213%17 Sept →
vertigo13–7-0.024%17 Sept →
anubis13–7-0.0513%16 Sept →
anubis4–13-0.007%16 Sept →
anubis5–13-0.057%16 Sept →
nuke13–110.0112%14 Sept →
nuke13–90.034%13 Sept →
vertigo2–13-0.0823%13 Sept →
vertigo7–130.0312%13 Sept →
nuke13–9-0.016%13 Sept →
vertigo10–13-0.019%12 Sept →
nuke7–130.018%12 Sept →
cache2–13-0.0514%11 Sept →
nuke11–130.0015%10 Sept →
nuke13–80.0215%10 Sept →
nuke10–130.0610%10 Sept →
nuke13–10-0.005%10 Sept →
dust213–70.0730%10 Sept →
office8–13-0.0721%9 Sept →
debris8–8-0.1419%9 Sept →
vertigo9–13-0.038%9 Sept →
vertigo13–30.1315%9 Sept →
nuke11–130.1212%8 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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