LittlePouPou ⛟

LittlePouPou ⛟ — CS2 Stats

CA76561198218108757[U:1:257843029]Steam profile ↗✓ No bans

2,225Tracked matches29%Win rate2020Tracked since
3,888Hours in CS12Hrs last 2 wks
CSDB Rating5.7 SolidPositional Player
Premier CS Rating26,560Top 5% of 215,558 CSDB-tracked playersRed band · top ~2.3% of ranked players (population est.)
CSDB Leaderboard#9782 of 261677 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−183Premier CS Rating · 26,743 → 26,560

Rating over time

Premier CS Rating: 26,560 +1,676 24 Aug – 15 Nov · 40 days played
23,95228,255peak 28,25524 Aug15 Nov
28,534Peak Premier in tracked matches
38Days played since 2026-08-24

Premier CS Rating

  • 1,695 below peak (28,255)
  • +384 over 30 days · steady
  • +1,676 over 90 days
  • Next: Gold band at 30,000 — 3,440 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-23
  • Pink band first seen 2026-08-30

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 9 among CSDB-tracked players (n=15,553), 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 9 medianLevel 10 medianvs Level 10
Headshot rate43.4%48.2%50.9%7.6% short
Shot accuracy11.2%13.2%13.7%2.5% short
Kill/death ratio1.101.071.09meets
Match win rate48.3%46.9%48.4%meets

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGLittlePouPou ⛟FACEITLevel 9STANDINGTop 20.7% of rankedPREMIER26,560 · Red bandcsdb.gg/stats

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Performance scores

Aim63
Positioning67
Utility61

0–100 skill scores via Leetify.

Recent form

COLD45–49–6Last 10045%Win rateLWLTWLLWLL

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · +3.3pp headshot accuracy · +31ms 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 530ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 525ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 510ms

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 (+2.6 against its own average).

Aim6.3
Utility6.1
Positioning6.7
Opening Duels3.8
Clutch0.0

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

Twistzz

Plays most like Twistzz 76% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: 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

Strengths

T openings. 63% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 63% on T to 41% on CT — first contacts on the defending side are being lost.

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

Aim6.3
Positioning6.7
Utility6.1
Mechanics4.8
Opening Duels5.5
Win Impact0.0

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time496ms−23ms
first ⅓ avg 519ms → last ⅓ avg 496ms
Headshot accuracy16.2%−3.6%
first ⅓ avg 19.8% → last ⅓ avg 16.2%

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

0.18Best match rating · 2–0 · anubis, 24 Oct →
40%Best headshot accuracy · 13–7 · dust2, 17 Sept →
375msFastest reaction time · 13–5 · ancient, 22 Sept →
13–1Biggest win · mirage, 14 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
11–2In matches decided by ≤2 rounds
14Overtime games

Map breakdown

dust2Best map · 59% over 32infernoWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
dust2A3219–1359%-0.00
mirageC2511–1444%-0.01
cacheB136–746%0.01
ancientD124–833%-0.03
infernoD91–811%0.00
anubisC52–340%0.02
nuke—42–250%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

98,833Lifetime kills
1.10K/D · Top 50% of Level 9 players
5,496Matches
48.3%Match win rate · Top 50% of Level 9 players
43.4%Headshot %
11.2%Shot accuracy
17,294MVPs
2,004Hours (in match)
6,829Bombs planted
1,783Bombs defused

Most-used weapons

AK-4728,628
AWP17,860
SSG 084,210
Knife3,114
MAC-102,735
MP92,592

Lifetime map wins

12,148dust2
6,142inferno
3,045vertigo
1,665nuke
442train
314cbble
178office
168lake

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

Faceit stats

Combat

106Matches
61%Win rate
1.08Avg K/D
76.7ADR
43%Headshot %

Clutches & streaks

14%1v1 clutch win
24%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage3465%1.1516.9
Dust21753%0.9914.0
Inferno1553%1.1215.3
Ancient1567%0.8512.9
Vertigo771%1.3418.6
Anubis560%0.9411.8
Nuke250%0.8415.5
Train1100%0.7112.0

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.

16.1%Headshot accuracy
30.8%Accuracy (enemy spotted)
36.0%Spray accuracy
71.4%Counter-strafing
9.7°Preaim
504msReaction time
62.9%T opening success
41.0%CT opening success
0.66Enemies flashed / flash
10.3%Flash assists
6.93HE damage / grenade
18.57Flashes / match

Recommended for you

Spend your practice time on Inferno

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

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust21–13-0.0329%15 Nov →
ancient13–110.0211%14 Nov →
cache8–13-0.0328%14 Nov →
ancient15–15-0.0422%12 Nov →
cache16–140.0117%10 Nov →
dust25–130.0422%10 Nov →
ancient10–13-0.028%9 Nov →
dust213–100.0413%9 Nov →
mirage9–13-0.0317%7 Nov →
ancient8–130.0014%7 Nov →
dust212–160.0219%7 Nov →
nuke7–13-0.0314%7 Nov →
dust213–8-0.0118%3 Nov →
nuke7–13-0.0511%3 Nov →
inferno7–130.0016%1 Nov →
cache5–13-0.039%1 Nov →
mirage16–140.0817%1 Nov →
ancient7–130.035%31 Oct →
anubis13–90.0117%31 Oct →
anubis7–13-0.0322%31 Oct →
dust213–9-0.0319%31 Oct →
dust23–13-0.0517%31 Oct →
mirage7–13-0.026%29 Oct →
mirage12–160.0416%28 Oct →
nuke13–11-0.023%28 Oct →
dust215–15-0.0119%28 Oct →
cache6–130.0313%26 Oct →
mirage3–13-0.0628%26 Oct →
dust29–13-0.0216%25 Oct →
dust28–130.0018%25 Oct →
dust213–90.0113%25 Oct →
cache13–40.0918%25 Oct →
dust213–90.0119%25 Oct →
cache16–14-0.0116%24 Oct →
mirage15–150.0113%24 Oct →
dust213–8-0.0410%24 Oct →
anubis2–00.1820%24 Oct →
mirage13–9-0.0721%24 Oct →
inferno10–130.053%23 Oct →
mirage7–13-0.0221%23 Oct →
cache16–130.0113%23 Oct →
cache10–130.048%23 Oct →
mirage13–80.0026%17 Oct →
inferno10–13-0.0219%17 Oct →
cache16–130.0211%17 Oct →
mirage13–9-0.026%16 Oct →
dust213–40.0931%16 Oct →
dust213–30.069%15 Oct →
cache6–13-0.0322%15 Oct →
inferno13–50.1116%15 Oct →
mirage15–15-0.028%15 Oct →
mirage13–10.018%14 Oct →
ancient5–13-0.110%14 Oct →
dust213–10-0.0228%7 Oct →
inferno4–13-0.0817%7 Oct →
anubis5–13-0.0120%7 Oct →
cache4–13-0.0116%7 Oct →
mirage16–14-0.069%2 Oct →
mirage11–130.029%2 Oct →
ancient2–13-0.0919%2 Oct →
ancient13–6-0.0012%2 Oct →
nuke13–8-0.0616%2 Oct →
dust213–70.0130%2 Oct →
dust211–130.0117%2 Oct →
dust213–11-0.0129%30 Sept →
mirage15–15-0.0220%30 Sept →
mirage15–15-0.0313%26 Sept →
mirage13–110.0322%25 Sept →
mirage9–13-0.0216%25 Sept →
anubis2–13-0.0420%23 Sept →
dust213–10-0.0514%23 Sept →
ancient13–50.0119%23 Sept →
mirage13–10.0324%23 Sept →
ancient13–5-0.034%22 Sept →
mirage3–13-0.0520%19 Sept →
inferno10–13-0.0113%18 Sept →
dust27–13-0.0813%18 Sept →
inferno9–13-0.0118%18 Sept →
inferno9–13-0.0220%17 Sept →
dust213–70.0340%17 Sept →
dust213–11-0.0414%17 Sept →
mirage13–5-0.0419%16 Sept →
dust213–7-0.0525%16 Sept →
dust213–80.0231%16 Sept →
dust27–13-0.0319%11 Sept →
cache13–30.0223%11 Sept →
ancient10–13-0.0121%10 Sept →
dust27–130.0226%10 Sept →
mirage13–90.0231%10 Sept →
dust210–13-0.0214%3 Sept →
dust213–110.0115%2 Sept →
mirage8–130.0322%2 Sept →
mirage6–130.0121%1 Sept →
dust213–5-0.0318%28 Aug →
dust213–90.0338%28 Aug →
inferno10–13-0.0126%28 Aug →
mirage13–8-0.0417%27 Aug →
dust28–13-0.0212%24 Aug →
ancient4–13-0.0911%24 Aug →
cache5–13-0.0110%24 Aug →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.