FollePoire

FollePoire — CS2 Stats

76561198307130572[U:1:346864844]Steam profile ↗✓ No bans

376Tracked matches59%Win rate2021Tracked since
1,119Hours in CS32Hrs last 2 wks
CSDB Rating4.4 DevelopingPositional Player
Premier CS Rating10,346Blue band · top ~53.1% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 28 days played since 22 Aug 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 10,346 -906 22 Aug22 Sept · 13 days played
10,00011,312peak 11,31222 Aug22 Sept
11,574Peak Premier in tracked matches
28Days played since 2026-08-22

Premier CS Rating

  • 966 below peak (11,312)
  • -906 over 30 days · declining
  • Next: Purple band at 15,000 4,654 to go
  • Reached: 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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate32.6%41.9%44.3%11.7% short
Shot accuracy7.5%9.6%11.8%4.4% short
Kill/death ratio0.990.981.030.04 short
Match win rate45.6%43.8%45.2%meets

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGFollePoirePREMIER10,346 · Blue bandcsdb.gg/stats

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Performance scores

Aim48
Positioning53
Utility47

0–100 skill scores via Leetify.

Recent form

COLD56377Last 10056%Win rateLLLLLWLWWL

Last 10 vs previous 10: −30pp win rate · −0.00 avg rating · +2.5pp headshot accuracy · +30ms reaction

Win rate down 30pp 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

  • 05 · 0% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 11%
  • Avg reaction 578ms

Last 10

  • 37 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 569ms

Last 20

  • 9101 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 554ms

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 PlayerPositioning stands above the rest of this profile (+1.3 against its own average).

Aim4.8
Utility4.7
Positioning5.3
Opening Duels1.6
Clutch4.6

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

NiKo

Plays most like NiKo 73% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Counter-strafing. Only 64% 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

Aim4.8
Positioning5.3
Utility4.7
Mechanics3.0
Opening Duels1.9
Win Impact7.9

Composite 4.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time545ms−50ms
first ⅓ avg 594ms → last ⅓ avg 545ms
Headshot accuracy13.0%+0.7%
first ⅓ avg 12.3% → last ⅓ avg 13.0%

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

0.16Best match rating · 13–10 · vertigo, 1 Sept
33%Best headshot accuracy · 13–5 · anubis, 20 Sept
313msFastest reaction time · 1–13 · italy, 5 Sept
13–1Biggest win · dust2, 2 Sept

Across the last 100 tracked matches.

Highlights

8Longest win streak
L5Current streak
24In matches decided by ≤2 rounds
4Overtime games

Map breakdown

boulderBest map · 100% over 7cacheWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
vertigoS2016480%0.02
dust2B1910953%-0.00
infernoC146843%-0.01
boulderS770100%0.02
nukeD72529%-0.03
cacheD61517%-0.04
mirageD62433%-0.02
anubisA53260%-0.00
italyA53260%0.01
office42250%-0.05
ancient42250%-0.02
fachwerk21150%-0.04
shelter110100%-0.02

Across the last 100 tracked matches.

Lifetime stats

26,542Lifetime kills
0.99K/D · Top 50% of Blue band
1,552Matches
45.6%Match win rate · Top 50% of Blue band
32.6%Headshot %
7.5%Shot accuracy
3,169MVPs
623Hours (in match)
1,705Bombs planted
298Bombs defused

Most-used weapons

Lifetime map wins

6,314dust2
1,636inferno
857nuke
642vertigo
240train
98office
43cbble
39italy

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

Faceit stats

Combat

29Matches
55%Win rate
1.03Avg K/D
85.9ADR
44%Headshot %

Clutches & streaks

43%1v1 clutch win
26%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Dust21164%1.2517.1
Inferno560%1.0916.0
Mirage475%0.9917.0
Ancient20%0.7515.0
Anubis250%0.8411.5
Nuke250%0.7212.5
Vertigo1100%1.5819.0

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.

13.1%Headshot accuracy
31.1%Accuracy (enemy spotted)
35.3%Spray accuracy
63.6%Counter-strafing
9.6°Preaim
549msReaction time
37.3%T opening success
37.9%CT opening success
0.66Enemies flashed / flash
5.2%Flash assists
4.08HE damage / grenade
6.06Flashes / 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 13.0666% — below the 15% mark we flag

    Aim Training
  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 37.2926% — below the 40% mark we flag

Spend your practice time on Cache

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.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
cache11–130.0216%22 Sept
inferno7–13-0.0117%21 Sept
vertigo5–130.017%21 Sept
inferno11–13-0.018%21 Sept
fachwerk2–13-0.0710%20 Sept
vertigo13–50.0215%20 Sept
dust27–13-0.0510%20 Sept
dust213–90.0119%20 Sept
anubis13–50.0033%20 Sept
mirage6–13-0.0613%18 Sept
cache6–13-0.0812%17 Sept
dust27–13-0.0518%17 Sept
office4–13-0.097%16 Sept
cache13–7-0.0424%16 Sept
anubis13–20.0415%16 Sept
dust213–9-0.042%16 Sept
inferno8–80.0516%16 Sept
mirage13–9-0.0111%16 Sept
vertigo13–50.0411%15 Sept
inferno9–10.087%15 Sept
dust213–10-0.0510%14 Sept
dust213–9-0.029%14 Sept
boulder13–40.1111%14 Sept
dust213–70.0111%13 Sept
anubis13–90.0119%13 Sept
vertigo5–9-0.029%13 Sept
inferno3–9-0.1315%13 Sept
vertigo13–90.0212%10 Sept
nuke12–12-0.0616%10 Sept
anubis8–13-0.047%9 Sept
dust213–70.0118%9 Sept
cache5–13-0.0810%9 Sept
vertigo13–100.0710%7 Sept
nuke5–9-0.1317%7 Sept
boulder13–6-0.0114%7 Sept
boulder13–10-0.069%6 Sept
vertigo13–11-0.0411%6 Sept
vertigo13–20.004%5 Sept
boulder13–60.0519%5 Sept
dust213–4-0.0014%5 Sept
vertigo13–70.057%5 Sept
italy1–13-0.080%5 Sept
vertigo13–6-0.023%5 Sept
vertigo13–30.019%5 Sept
office13–70.028%5 Sept
nuke13–80.039%5 Sept
vertigo1–13-0.053%5 Sept
nuke7–9-0.0212%5 Sept
boulder13–30.038%4 Sept
italy13–7-0.029%4 Sept
dust213–100.0319%4 Sept
vertigo13–50.039%4 Sept
office13–9-0.0516%4 Sept
italy13–10-0.0415%4 Sept
italy5–10.1511%4 Sept
vertigo12–120.0223%4 Sept
anubis9–13-0.048%4 Sept
vertigo13–70.0620%3 Sept
inferno13–6-0.0415%3 Sept
nuke2–13-0.059%3 Sept
inferno13–90.0712%3 Sept
mirage16–14-0.0610%3 Sept
vertigo9–40.0210%3 Sept
inferno13–20.0111%3 Sept
nuke13–70.0114%2 Sept
dust215–150.0215%2 Sept
cache15–15-0.0011%2 Sept
dust213–10.0813%2 Sept
inferno8–80.0215%2 Sept
dust212–120.0514%2 Sept
dust24–130.016%1 Sept
vertigo13–100.1630%1 Sept
vertigo13–5-0.025%1 Sept
boulder13–50.016%31 Aug
office11–13-0.0819%31 Aug
fachwerk13–9-0.0220%31 Aug
italy7–130.0611%31 Aug
shelter13–4-0.024%31 Aug
boulder13–20.0313%31 Aug
dust213–7-0.0629%31 Aug
inferno5–130.048%30 Aug
ancient13–6-0.0214%30 Aug
inferno13–80.0116%29 Aug
inferno10–13-0.0511%29 Aug
inferno10–13-0.049%29 Aug
ancient13–70.0320%29 Aug
ancient8–13-0.037%28 Aug
mirage13–160.039%27 Aug
vertigo13–6-0.040%27 Aug
ancient1–7-0.045%27 Aug
dust23–80.018%26 Aug
mirage4–13-0.0115%25 Aug
mirage10–130.0215%25 Aug
inferno13–7-0.0716%24 Aug
dust28–130.029%23 Aug
nuke8–130.0113%23 Aug
dust210–130.0223%22 Aug
cache7–13-0.097%22 Aug
dust29–13-0.0612%22 Aug
vertigo13–90.033%22 Aug

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 →