PyThoN_-

PyThoN_- — CS2 Stats

NO76561197979279844[U:1:19014116]Steam profile ↗✓ No bans

2,926Tracked matches53%Win rate2020Tracked since
4,510Hours in CS22Hrs last 2 wks
CSDB Rating5.8 SolidSupport
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Sep 2026 (19 days ago). Ranks are recorded once per day this page is viewed.

+38Tracked matches · now 2,926
+6.7ppWin rate · 46.7% → 53.3%
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. 41 days played since 29 Jun 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: 16,983 -2,022 29 Jun4 Jul · 6 days played
16,98319,785peak 19,78529 Jun4 Jul
19,890Peak Premier in tracked matches
41Days played since 2026-06-29

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 8 among CSDB-tracked players (n=14,086), 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 8 medianLevel 9 medianvs Level 9
Headshot rate42.4%46.8%48.3%5.9% short
Shot accuracy14.0%13.0%13.2%above
Kill/death ratio0.931.061.070.14 short
Match win rate45.9%46.3%46.9%1.0% short

This profile matches the typical Level 9 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGPyThoN_-FACEITLevel 8STANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim82
Positioning43
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY5347Last 10053%Win rateWWLLWWWLWL

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −4.0pp headshot accuracy · −67ms 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

  • 32 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 459ms

Last 10

  • 64 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 498ms

Last 20

  • 119 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 531ms

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: SupportUtility contribution stands above the rest of this profile (+1.4 against its own average).

Aim8.2
Utility4.5
Positioning4.3
Opening Duels2.3
Clutch1.2

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.

Where you differ: 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

Positioning. Positioning trails aim by 39 points — deaths here waste a strong aim profile.

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

Aim8.2
Positioning4.3
Utility4.5
Mechanics6.6
Opening Duels1.9
Win Impact6.1

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-0.03−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time531ms−29ms
first ⅓ avg 561ms → last ⅓ avg 531ms
Headshot accuracy18.8%−0.4%
first ⅓ avg 19.2% → last ⅓ avg 18.8%

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

0.08Best match rating · 13–0 · inferno, 16 Jul
41%Best headshot accuracy · 9–13 · mirage, 4 Jul
359msFastest reaction time · 13–9 · mirage, 14 Sept
13–0Biggest win · inferno, 16 Jul

Across the last 100 tracked matches.

Highlights

7Longest win streak
W2Current streak
83In matches decided by ≤2 rounds
9Overtime games

Map breakdown

dust2Best map · 72% over 18mirageWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
ancientA24141058%-0.00
infernoA2011955%-0.01
dust2S1813572%-0.02
mirageD1551033%-0.02
cacheA148657%-0.03
anubis41325%-0.02
overpass31233%-0.03
nuke2020%-0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

119,169Lifetime kills
0.93K/D
6,354Matches
45.9%Match win rate
42.4%Headshot %
14.0%Shot accuracy · Top 50% of Level 8 players
16,539MVPs
2,750Hours (in match)
8,790Bombs planted
3,019Bombs defused

Most-used weapons

AK-4726,614
AWP24,780
SSG 083,421
P2502,510
MAC-102,098
Knife1,964

Lifetime map wins

12,996inferno
6,408dust2
3,307train
2,295nuke
2,049cbble
959vertigo
41aztec
37lake

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

Faceit stats

Combat

990Matches
51%Win rate
1.00Avg K/D
72.1ADR
41%Headshot %

Clutches & streaks

26%1v1 clutch win
20%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Inferno6455%1.0415.2
Ancient6360%0.9914.7
Mirage5456%0.8914.1
Dust23250%0.8714.2
Anubis2264%0.9615.2
Cache1753%0.8512.5
Vertigo1040%0.9715.7
Train944%0.9316.9

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.

19.1%Headshot accuracy
35.8%Accuracy (enemy spotted)
42.5%Spray accuracy
79.9%Counter-strafing
9.1°Preaim
530msReaction time
34.7%T opening success
40.5%CT opening success
0.42Enemies flashed / flash
5.4%Flash assists
9.35HE damage / grenade
6.32Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.418 — below the 0.5 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 34.6915% — below the 40% mark we flag

Spend your practice time on Mirage

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

33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–6-0.027%21 Sept
inferno13–90.0318%15 Sept
cache9–13-0.0418%15 Sept
ancient9–13-0.0323%14 Sept
mirage13–90.0519%14 Sept
ancient13–40.0213%12 Sept
cache13–11-0.0518%12 Sept
inferno3–13-0.0318%12 Sept
dust213–10-0.0318%12 Sept
dust26–13-0.1122%11 Sept
cache9–130.0321%11 Sept
dust213–80.0232%11 Sept
inferno3–13-0.0517%11 Sept
inferno16–19-0.0216%9 Sept
dust213–70.0120%9 Sept
cache13–60.0031%8 Sept
mirage9–13-0.0714%8 Sept
ancient16–140.0528%7 Sept
dust213–9-0.0416%7 Sept
inferno7–13-0.0518%7 Sept
ancient13–5-0.0029%6 Sept
dust29–13-0.0621%6 Sept
ancient13–9-0.0910%5 Sept
inferno13–90.0327%5 Sept
mirage8–13-0.0716%5 Sept
ancient9–13-0.0221%4 Sept
inferno13–11-0.0410%4 Sept
mirage6–13-0.0912%4 Sept
dust213–40.0222%3 Sept
cache4–13-0.0518%3 Sept
mirage10–13-0.0510%2 Sept
ancient6–13-0.0321%1 Sept
inferno9–13-0.0518%1 Sept
inferno2–13-0.0413%31 Aug
ancient13–7-0.0123%31 Aug
dust216–130.0122%29 Aug
cache7–13-0.0315%29 Aug
ancient7–130.0624%28 Aug
cache16–120.0119%26 Aug
ancient13–9-0.0016%26 Aug
inferno13–8-0.0016%24 Aug
ancient13–40.0521%22 Aug
nuke10–13-0.0821%22 Aug
ancient13–110.0014%19 Aug
dust213–80.0018%14 Aug
cache13–70.0115%14 Aug
mirage19–22-0.0411%14 Aug
dust214–16-0.0623%13 Aug
anubis13–110.0312%13 Aug
anubis5–13-0.0527%8 Aug
mirage13–110.0214%8 Aug
nuke7–13-0.0415%8 Aug
inferno16–14-0.0024%7 Aug
dust26–13-0.0321%7 Aug
inferno11–13-0.0421%6 Aug
ancient11–130.0129%6 Aug
inferno13–9-0.0127%6 Aug
mirage6–13-0.0219%5 Aug
ancient13–7-0.0317%5 Aug
dust213–60.0630%5 Aug
cache8–13-0.078%16 Jul
inferno13–00.0828%16 Jul
cache13–10-0.0619%15 Jul
ancient13–40.0421%15 Jul
ancient9–13-0.0233%14 Jul
inferno13–100.0415%13 Jul
cache6–13-0.0526%10 Jul
ancient13–100.0310%10 Jul
inferno13–50.0116%10 Jul
mirage5–13-0.0722%10 Jul
mirage13–40.0429%9 Jul
cache13–90.0221%9 Jul
cache13–5-0.0522%8 Jul
ancient13–80.0234%8 Jul
dust213–3-0.0319%7 Jul
inferno13–4-0.0110%7 Jul
cache13–9-0.0718%7 Jul
mirage9–130.0541%4 Jul
overpass0–13-0.0330%4 Jul
inferno10–130.0117%4 Jul
dust213–16-0.039%4 Jul
mirage7–130.0114%4 Jul
ancient13–10-0.0116%4 Jul
ancient6–13-0.0911%3 Jul
dust213–90.0111%3 Jul
overpass13–11-0.0028%3 Jul
ancient8–13-0.0219%3 Jul
inferno9–13-0.0423%2 Jul
ancient13–16-0.048%2 Jul
mirage7–13-0.0620%2 Jul
anubis10–13-0.0619%2 Jul
ancient2–13-0.0112%1 Jul
overpass5–13-0.0518%1 Jul
mirage13–30.0524%1 Jul
inferno13–100.0816%1 Jul
anubis7–130.0029%1 Jul
ancient13–100.0123%30 Jun
mirage13–7-0.0116%30 Jun
dust213–4-0.0215%30 Jun
dust213–9-0.0017%29 Jun

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 →