Peugeot 307 Enthusiast

Peugeot 307 Enthusiast — CS2 Stats

NO76561199055588436[U:1:1095322708]Steam profile ↗✓ No bans

721Tracked matches40%Win rate2020Tracked since
2,940Hours in CS25Hrs last 2 wks
CSDB Rating6.2 SolidPositional Player
Premier CS Rating23,381Top 25% of 210,584 CSDB-tracked playersPink band · top ~4.8% of ranked players (population est.)
CSDB Leaderboard#39034 of 257651 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Oct 2026 (3 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: 23,381 +1,427 7 Dec – 23 Oct · 25 days played
21,54723,667peak 23,6677 Dec23 Oct
23,720Peak Premier in tracked matches
50Days played since 2025-12-07

Premier CS Rating

  • 286 below peak (23,667)
  • -7 over 30 days · steady
  • Next: Red band at 25,000 — 1,619 to go
  • Reached: Pink band · Purple band · Blue band · 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 Level 10 among CSDB-tracked players (n=30,986), 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 playerLevel 10 median
Headshot rate46.2%50.9%
Shot accuracy12.9%13.7%
Kill/death ratio0.981.09
Match win rate42.9%48.4%

Share this profile

CSDB.GGPeugeot 307 EnthusiastFACEITLevel 10STANDINGTop 12.4% of rankedPREMIER23,381 · Pink bandcsdb.gg/stats

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Performance scores

Aim84
Positioning60
Utility52

0–100 skill scores via Leetify.

Recent form

COLD40–55–5Last 10040%Win rateLLLWLLLWLW

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · +0.7pp headshot accuracy · +25ms 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

  • 1–4 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 569ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 507ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 495ms

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).

Aim8.4
Utility5.2
Positioning6.0
Opening Duels3.0
Clutch3.0

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

b1t

Plays most like b1t 95% playstyle similarity

Most alike: opening-duel success, positioning 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

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

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

Aim8.4
Positioning6.0
Utility5.2
Mechanics6.4
Opening Duels4.4
Win Impact1.7

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time520ms−62ms
first ⅓ avg 581ms → last ⅓ avg 520ms
Headshot accuracy19.0%−4.0%
first ⅓ avg 23.0% → last ⅓ avg 19.0%

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

0.17Best match rating · 11–13 · mirage, 10 Dec →
42%Best headshot accuracy · 13–10 · dust2, 12 Dec →
359msFastest reaction time · 8–1 · anubis, 14 Aug →
13–3Biggest win · inferno, 11 Dec →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
8–8In matches decided by ≤2 rounds
19Overtime games

Map breakdown

infernoBest map · 48% over 23dust2Weakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
mirageC2711–1641%0.01
infernoB2311–1248%0.00
anubisC156–940%-0.01
dust2D103–730%0.02
ancientD62–433%0.00
overpassC52–340%0.03
cache—41–325%0.02
nuke—43–175%0.00
vertigo—41–325%-0.01
train—20–20%0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

67,865Lifetime kills
0.98K/D
3,276Matches
42.9%Match win rate
46.2%Headshot %
12.9%Shot accuracy
13,893MVPs
1,319Hours (in match)
2,153Bombs planted
3,691Bombs defused

Most-used weapons

AK-4724,042
AWP10,336
Knife1,040
MP9868

Lifetime map wins

7,557inferno
3,379dust2
2,627vertigo
1,534train
1,184nuke
78cbble
49lake
26italy

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

Faceit stats

Combat

689Matches
52%Win rate
1.16Avg K/D
80.2ADR
44%Headshot %

Clutches & streaks

35%1v1 clutch win
21%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage27357%1.2417.1
Inferno10947%1.0715.7
Anubis10748%1.1616.9
Dust24245%1.0214.9
Vertigo3757%1.2117.4
Ancient2945%1.0815.4
Nuke2050%1.0915.7
Train1457%1.0515.9

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

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

18.6%Headshot accuracy
37.5%Accuracy (enemy spotted)
40.1%Spray accuracy
78.9%Counter-strafing
8.7°Preaim
509msReaction time
49.8%T opening success
45.2%CT opening success
0.52Enemies flashed / flash
7.7%Flash assists
9.09HE damage / grenade
7.83Flashes / match

Recommended for you

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.

30% 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
cache8–130.0213%23 Oct →
mirage6–13-0.0321%23 Oct →
dust22–13-0.0312%23 Oct →
inferno13–70.0523%23 Oct →
mirage6–130.1018%23 Oct →
ancient7–130.1115%23 Oct →
ancient10–13-0.0423%20 Oct →
mirage13–9-0.0419%20 Oct →
inferno11–13-0.0221%19 Oct →
inferno13–60.0322%11 Oct →
mirage13–90.0615%30 Sept →
mirage13–11-0.0112%29 Sept →
nuke16–120.0320%27 Sept →
inferno16–12-0.019%25 Sept →
mirage10–13-0.0424%25 Sept →
anubis7–13-0.0213%25 Sept →
inferno9–13-0.0910%25 Sept →
nuke8–13-0.0629%24 Sept →
anubis6–130.0117%20 Sept →
cache10–130.0830%20 Sept →
inferno13–60.0516%17 Sept →
cache5–13-0.0033%17 Sept →
dust213–70.0313%17 Sept →
inferno13–5-0.0232%17 Sept →
mirage12–16-0.0618%15 Sept →
anubis7–13-0.0324%15 Sept →
nuke13–7-0.038%15 Sept →
anubis5–13-0.007%14 Sept →
anubis10–130.0216%12 Sept →
inferno13–10-0.0127%12 Sept →
nuke13–50.0724%12 Sept →
dust211–13-0.0423%12 Sept →
anubis16–12-0.0721%12 Sept →
inferno13–50.0134%12 Sept →
ancient11–13-0.0113%9 Sept →
vertigo6–13-0.0730%9 Sept →
anubis13–70.0736%8 Sept →
ancient12–16-0.0715%5 Sept →
inferno12–160.0014%5 Sept →
vertigo8–80.0121%5 Sept →
mirage13–8-0.0118%4 Sept →
inferno15–15-0.0214%4 Sept →
mirage13–9-0.0517%2 Sept →
dust210–130.0624%2 Sept →
anubis13–60.0622%31 Aug →
anubis13–90.0515%31 Aug →
dust211–130.0630%30 Aug →
anubis9–130.0118%28 Aug →
anubis11–13-0.0412%25 Aug →
vertigo6–130.0340%25 Aug →
anubis6–13-0.0711%24 Aug →
anubis12–16-0.0714%19 Aug →
anubis13–50.0320%18 Aug →
inferno13–11-0.0025%18 Aug →
inferno13–110.0116%16 Aug →
inferno7–13-0.0113%15 Aug →
ancient13–100.0314%15 Aug →
inferno8–13-0.007%14 Aug →
cache16–13-0.0115%14 Aug →
anubis8–1-0.0817%14 Aug →
mirage13–110.0225%14 Aug →
mirage15–150.0620%24 Mar →
mirage10–13-0.006%16 Mar →
mirage8–130.055%10 Mar →
overpass6–130.0029%28 Jan →
mirage13–80.0133%25 Jan →
mirage1–13-0.0824%14 Jan →
dust24–130.0417%11 Jan →
mirage3–13-0.0126%10 Jan →
dust214–16-0.0117%6 Jan →
overpass6–13-0.0813%6 Jan →
inferno2–13-0.0310%5 Jan →
inferno3–13-0.0314%4 Jan →
train15–150.0420%4 Jan →
mirage8–130.0833%4 Jan →
mirage18–220.0222%24 Dec →
vertigo16–130.0224%23 Dec →
inferno8–13-0.0228%23 Dec →
mirage22–20-0.0221%23 Dec →
inferno9–13-0.0021%23 Dec →
inferno6–130.0220%15 Dec →
ancient16–140.0016%15 Dec →
overpass9–130.0419%14 Dec →
mirage16–130.0217%14 Dec →
inferno4–13-0.0023%14 Dec →
mirage16–140.0617%12 Dec →
dust213–10-0.0242%12 Dec →
mirage9–13-0.0122%11 Dec →
mirage3–13-0.0214%11 Dec →
inferno13–30.0435%11 Dec →
mirage10–13-0.0818%10 Dec →
mirage11–130.1722%10 Dec →
overpass13–90.0531%10 Dec →
overpass8–20.1340%10 Dec →
inferno13–90.0924%9 Dec →
mirage11–130.0320%8 Dec →
train15–150.0131%8 Dec →
dust29–130.0814%7 Dec →
dust213–110.0029%7 Dec →
mirage13–80.0236%7 Dec →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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