C0D3M4N

C0D3M4N — CS2 Stats

76561197981022238[U:1:20756510]Steam profile ↗✓ No bans

1,770Tracked matches63%Win rate2020Tracked since
2,012Hours in CS
CSDB Rating6.3 SolidSupport
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Sep 2026 (73 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,770 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 28,603 +405 24 Mar – 6 Jul · 17 days played
27,65630,000peak 30,00024 Mar6 Jul
30,122Peak Premier in tracked matches
26Days played since 2026-03-24

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 7 among CSDB-tracked players (n=14,595), 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 7 medianLevel 8 medianvs Level 8
Headshot rate55.5%45.7%46.8%above
Shot accuracy13.3%12.7%13.0%above
Kill/death ratio1.151.051.06above
Match win rate78.6%45.7%46.3%above

Across every metric we can compare, this profile already matches the typical Level 8 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGC0D3M4NFACEITLevel 7STANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim78
Positioning47
Utility62

0–100 skill scores via Leetify.

Recent form

HOT67–27–6Last 10067%Win rateWWWLLWLWWW

Last 10 vs previous 10: +40pp win rate · −0.03 avg rating · +2.6pp headshot accuracy · −34ms reaction

Win rate up 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 25%
  • Avg reaction 453ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 28%
  • Avg reaction 531ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 26%
  • Avg reaction 547ms

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 (+1.7 against its own average).

Aim7.8
Utility6.2
Positioning4.7
Opening Duels2.6

Effective flashes

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 92% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 44% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 590ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim7.8
Positioning4.7
Utility6.2
Mechanics6.6
Opening Duels1.8
Win Impact9.3

Composite 6.3/10 (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 rating0.01−0.05
first ⅓ avg 0.05 → last ⅓ avg 0.01
Reaction time578ms−22ms
first ⅓ avg 600ms → last ⅓ avg 578ms
Headshot accuracy27.2%−4.9%
first ⅓ avg 32.1% → last ⅓ avg 27.2%

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 · 9–13 · nuke, 24 Mar →
100%Best headshot accuracy · 0–13 · overpass, 20 Apr →
188msFastest reaction time · 0–13 · overpass, 20 Apr →
13–0Biggest win · dust2, 24 Mar →

Across the last 100 tracked matches.

Highlights

10Longest win streak
W3Current streak
9–1In matches decided by ≤2 rounds
2Overtime games

Map breakdown

trainBest map · 100% over 6overpassWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2S2417–771%0.02
mirageA169–756%0.01
cacheS1613–381%0.01
anubisC94–544%0.04
ancientA95–456%0.04
nukeS75–271%0.02
trainS66–0100%0.07
infernoS55–0100%0.05
overpassD51–420%-0.06
vertigo—21–150%0.06
office—11–0100%0.08

Across the last 100 tracked matches.

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

Lifetime stats

117,542Lifetime kills
1.15K/D · Top 50% of Level 7 players
9,252Matches
78.6%Match win rate · Top 1% of Level 7 players
55.5%Headshot % · Top 25% of Level 7 players
13.3%Shot accuracy · Top 50% of Level 7 players
10,985MVPs
2,012Hours (in match)
3,512Bombs planted
1,095Bombs defused

Most-used weapons

AK-4746,349
AWP12,202
UMP-454,256
MP92,942
P2502,379

Lifetime map wins

7,978dust2
7,159inferno
3,432nuke
2,331train
1,089cbble
557vertigo
284office
162italy

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

Faceit stats

Combat

35Matches
54%Win rate
1.22Avg K/D
—ADR
42%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
6Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage250%1.1118.0
Nuke2100%1.8516.5
Ancient1100%1.4320.0
Inferno1100%1.9537.0
Anubis1100%0.8517.0

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.

27.2%Headshot accuracy
34.4%Accuracy (enemy spotted)
37.4%Spray accuracy
79.7%Counter-strafing
10.4°Preaim
590msReaction time
27.4%T opening success
44.0%CT opening success
0.73Enemies flashed / flash
5.2%Flash assists
11.57HE damage / grenade
10.29Flashes / 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 27.3598% — below the 40% mark we flag

Spend your practice time on Overpass

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.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–11-0.0317%10 Aug →
nuke13–40.0126%10 Aug →
mirage13–50.0138%6 Jul →
overpass5–11-0.1525%6 Jul →
mirage5–13-0.0320%6 Jul →
dust213–40.0222%23 Jun →
anubis1–7-0.1133%6 Jun →
cache13–110.0343%27 May →
cache13–90.0824%27 May →
anubis13–40.1330%27 May →
anubis6–130.0822%27 May →
anubis2–6-0.0220%27 May →
anubis6–130.0928%27 May →
ancient3–60.0429%24 May →
dust215–15-0.0225%24 May →
ancient13–110.0731%24 May →
dust213–80.0230%24 May →
ancient8–130.1133%23 May →
mirage13–11-0.0815%20 May →
mirage6–13-0.0320%20 May →
dust213–7-0.0834%12 May →
cache3–13-0.0428%9 May →
cache13–40.0720%9 May →
cache13–6-0.0117%4 May →
cache13–5-0.0527%4 May →
cache13–110.0233%4 May →
cache13–60.1039%4 May →
cache13–4-0.0524%4 May →
cache12–120.0131%4 May →
cache12–12-0.0029%4 May →
cache13–10.0225%4 May →
cache13–6-0.0521%1 May →
cache13–90.0139%1 May →
cache13–90.0042%1 May →
cache13–110.0636%1 May →
dust213–90.059%27 Apr →
mirage11–130.1097%27 Apr →
mirage13–11-0.0429%27 Apr →
dust213–5-0.0537%26 Apr →
dust212–120.0530%26 Apr →
dust213–6-0.0138%26 Apr →
train13–2-0.0123%26 Apr →
train13–90.0128%25 Apr →
dust213–90.0125%25 Apr →
inferno13–90.0321%25 Apr →
mirage8–13-0.120%25 Apr →
ancient13–90.0725%22 Apr →
anubis3–10-0.0014%21 Apr →
mirage0–5-0.020%20 Apr →
ancient1–13-0.050%20 Apr →
mirage9–130.0329%20 Apr →
dust213–50.0979%20 Apr →
inferno13–10.1042%20 Apr →
overpass0–13-0.05100%20 Apr →
dust20–130.0173%20 Apr →
ancient13–70.0748%16 Apr →
overpass2–13-0.0633%16 Apr →
nuke0–3-0.160%16 Apr →
nuke4–5-0.04100%16 Apr →
overpass13–60.0061%16 Apr →
dust29–130.0746%16 Apr →
dust213–80.1058%16 Apr →
mirage13–50.0425%16 Apr →
ancient8–4-0.0023%16 Apr →
nuke7–20.1550%16 Apr →
nuke13–70.0225%16 Apr →
mirage1–13-0.030%15 Apr →
vertigo12–120.1233%15 Apr →
inferno13–7-0.0323%15 Apr →
train13–30.1731%15 Apr →
train13–40.0620%15 Apr →
dust213–30.0830%15 Apr →
ancient13–60.0114%14 Apr →
mirage13–5-0.0121%14 Apr →
dust213–100.0317%14 Apr →
dust213–80.0229%14 Apr →
dust23–6-0.0840%13 Apr →
vertigo13–60.0124%13 Apr →
nuke13–10-0.0233%13 Apr →
train13–20.0527%5 Apr →
anubis7–2-0.0414%5 Apr →
anubis13–10.1019%5 Apr →
mirage13–8-0.0244%27 Mar →
dust213–4-0.0033%25 Mar →
mirage4–00.1043%25 Mar →
dust213–40.0541%25 Mar →
dust213–40.0422%25 Mar →
nuke9–130.18100%24 Mar →
ancient2–130.0733%24 Mar →
dust21–13-0.0659%24 Mar →
overpass0–4-0.040%24 Mar →
dust215–150.0148%24 Mar →
mirage13–40.1641%24 Mar →
dust213–00.1445%24 Mar →
train13–70.1631%24 Mar →
office13–110.0821%24 Mar →
dust213–50.0530%24 Mar →
anubis13–10.1032%24 Mar →
inferno13–60.1625%24 Mar →
mirage13–80.0935%24 Mar →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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