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coding — CS2 Stats

76561198301112939[U:1:340847211]Steam profile ↗✓ No bans

2,928Tracked matches31%Win rate2020Tracked since
CSDB Rating4.1 DevelopingSupport
CSDB Leaderboard#72697 of 252784 tracked
FaceitLevel 8 · 1,549 ELOTop 31.2% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 20,605 -101 12 Sept – 13 Sept · 2 days played
20,60520,706peak 20,70612 Sept13 Sept
Faceit ELO: 1,549 +0 28 Aug – 3 Sept · 4 observations
1,5491,549peak 1,54928 Aug3 Sept
20,706Peak Premier in tracked matches
1,549Highest Faceit ELO seen on CSDB
33Days played since 2026-08-27

Faceit ELO

  • At peak — 1,549
  • Next: Level 9 at 1,751 — 202 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-08-28
  • Level 7 first seen 2026-08-28

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGcodingFACEITLevel 8 · 1,549 ELOSTANDINGTop 31.2% of rankedPEAK ELO1,549csdb.gg/stats

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Performance scores

Aim63
Positioning46
Utility55

0–100 skill scores via Leetify.

Recent form

COLD44–51–5Last 10044%Win rateWLLLWLLWLL

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · −2.2pp headshot accuracy · −46ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 487ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 468ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 491ms

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: Support — Utility contribution stands above the rest of this profile (+2.2 against its own average).

Aim6.3
Utility5.5
Positioning4.6
Opening Duels0.0
Clutch3.2

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

Twistzz

Plays most like Twistzz 81% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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 67% 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

Aim6.3
Positioning4.6
Utility5.5
Mechanics3.8
Opening Duels0.6
Win Impact0.0

Composite 4.1/10 (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-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time497ms−18ms
first ⅓ avg 516ms → last ⅓ avg 497ms
Headshot accuracy16.8%−3.0%
first ⅓ avg 19.9% → last ⅓ avg 16.8%

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

0.11Best match rating · 13–4 · ancient, 15 Sept →
55%Best headshot accuracy · 5–8 · rush_001, 1 Oct →
344msFastest reaction time · 10–13 · inferno, 24 Sept →
13–1Biggest win · ancient, 3 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–7In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 55% over 20nukeWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoD216–1529%-0.02
ancientA2011–955%0.00
cacheB1910–953%-0.03
anubisB157–847%-0.01
mirageC94–544%-0.03
nukeD51–420%-0.00
dust2—41–325%0.01
vertigo—43–175%-0.03
train—21–150%-0.05
rush_001—10–10%-0.08

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

715Matches
50%Win rate
0.99Avg K/D
70.2ADR
47%Headshot %

Clutches & streaks

36%1v1 clutch win
20%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Ancient14758%1.0515.4
Mirage14049%0.9813.8
Dust210942%0.9013.8
Inferno9050%1.0013.9
Anubis8649%1.0115.2
Nuke7256%1.0415.0
Cache2544%0.7913.2
Overpass1942%0.8712.9

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.

15.9%Headshot accuracy
34.2%Accuracy (enemy spotted)
35.5%Spray accuracy
66.9%Counter-strafing
10.2°Preaim
492msReaction time
32.2%T opening success
32.8%CT opening success
0.58Enemies flashed / flash
4.4%Flash assists
7.63HE damage / grenade
11.47Flashes / 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. 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 32.2482% — below the 40% mark we flag

Spend your practice time on Nuke

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–9-0.0617%15 Oct →
ancient13–160.0323%13 Oct →
anubis3–13-0.0215%13 Oct →
nuke4–13-0.0322%12 Oct →
nuke13–50.039%12 Oct →
cache4–13-0.0325%12 Oct →
anubis4–13-0.009%12 Oct →
ancient13–110.0116%12 Oct →
dust22–5-0.0523%11 Oct →
nuke10–13-0.0115%11 Oct →
dust211–130.0423%11 Oct →
ancient6–13-0.086%8 Oct →
inferno13–50.0118%6 Oct →
anubis13–60.0116%6 Oct →
ancient13–110.026%5 Oct →
dust213–11-0.0016%5 Oct →
inferno14–16-0.0520%5 Oct →
rush_0015–8-0.0855%1 Oct →
dust212–120.0417%30 Sept →
cache5–13-0.0419%30 Sept →
ancient11–13-0.039%30 Sept →
inferno1–13-0.0616%29 Sept →
anubis11–13-0.0118%29 Sept →
anubis8–13-0.0411%29 Sept →
cache4–13-0.0322%28 Sept →
ancient13–90.0221%28 Sept →
ancient19–17-0.0314%28 Sept →
inferno16–19-0.0114%25 Sept →
cache6–13-0.0417%25 Sept →
inferno10–130.0122%24 Sept →
inferno7–13-0.013%24 Sept →
ancient8–13-0.0612%23 Sept →
mirage11–13-0.067%23 Sept →
ancient13–50.0313%22 Sept →
vertigo9–1-0.0311%22 Sept →
inferno8–80.0147%22 Sept →
cache13–9-0.0623%21 Sept →
ancient13–40.0124%21 Sept →
inferno13–50.0420%21 Sept →
mirage13–11-0.0311%21 Sept →
cache13–90.0114%21 Sept →
cache7–13-0.1421%21 Sept →
inferno13–8-0.0217%16 Sept →
nuke7–130.0426%16 Sept →
cache13–5-0.0124%16 Sept →
cache13–50.0015%16 Sept →
ancient9–13-0.0222%15 Sept →
anubis13–50.0223%15 Sept →
ancient13–40.1124%15 Sept →
anubis13–16-0.0316%15 Sept →
inferno3–13-0.0415%14 Sept →
mirage13–40.029%14 Sept →
anubis9–13-0.0615%14 Sept →
nuke3–13-0.0527%14 Sept →
inferno13–100.0419%14 Sept →
cache8–13-0.069%13 Sept →
inferno15–15-0.0215%12 Sept →
ancient16–130.0519%12 Sept →
anubis9–13-0.0329%9 Sept →
anubis10–13-0.0117%9 Sept →
ancient10–13-0.0218%8 Sept →
mirage13–8-0.0127%8 Sept →
inferno11–13-0.0224%8 Sept →
cache13–80.0116%7 Sept →
inferno12–120.0120%7 Sept →
ancient12–12-0.0317%7 Sept →
ancient11–13-0.0422%7 Sept →
cache13–70.0525%7 Sept →
ancient6–13-0.0220%6 Sept →
anubis13–7-0.0115%6 Sept →
mirage10–13-0.0619%6 Sept →
inferno10–13-0.137%6 Sept →
vertigo13–110.0424%6 Sept →
cache6–130.0223%6 Sept →
inferno13–3-0.0718%6 Sept →
inferno7–13-0.0327%6 Sept →
mirage13–70.0116%5 Sept →
anubis13–50.0918%5 Sept →
cache13–60.0116%5 Sept →
inferno13–9-0.0214%4 Sept →
inferno10–13-0.0217%3 Sept →
mirage4–13-0.0324%3 Sept →
ancient7–00.0731%3 Sept →
anubis13–70.0220%3 Sept →
ancient13–10.0615%3 Sept →
cache7–13-0.0623%3 Sept →
vertigo10–13-0.0721%2 Sept →
mirage9–13-0.0113%2 Sept →
vertigo13–10-0.0812%1 Sept →
cache13–8-0.0217%1 Sept →
cache16–13-0.0321%1 Sept →
train13–3-0.0227%31 Aug →
inferno9–130.0423%31 Aug →
cache7–13-0.0334%31 Aug →
inferno10–13-0.0410%31 Aug →
train6–13-0.0825%28 Aug →
anubis13–5-0.0015%28 Aug →
mirage2–13-0.0723%28 Aug →
ancient13–10-0.0113%27 Aug →
cache16–13-0.0930%27 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 →

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