cordio2

cordio2 — CS2 Stats

DE76561198014622356[U:1:54356628]Steam profile ↗✓ No bans

195Tracked matches41%Win rate2025Tracked since
CSDB Rating2.7 LearningSupport
Premier CS Rating14,802Blue band · top ~29.4% of ranked players (population est.)
WingmanSilver Elite Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Oct 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

+357Premier CS Rating · 14,445 → 14,802

Rating over time

Premier CS Rating: 14,802 +7,919 17 Dec – 7 Oct · 37 days played
6,88316,199peak 16,19917 Dec7 Oct
16,420Peak Premier in tracked matches
44Days played since 2025-12-17

Premier CS Rating

  • 1,397 below peak (16,199)
  • Next: Purple band at 15,000 — 198 to go
  • Reached: Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGcordio2PREMIER14,802 · Blue bandcsdb.gg/stats

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Performance scores

Aim18
Positioning53
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY41–55–4Last 10041%Win rateWWLLWWLLLW

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · +2.8pp headshot accuracy · −42ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 566ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 570ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 591ms

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 (+1.1 against its own average).

Aim1.8
Utility5.5
Positioning5.3
Opening Duels2.4

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

jL

Plays most like jL 50% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Reaction time. 576ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 51% 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

Aim1.8
Positioning5.3
Utility5.5
Mechanics0.2
Opening Duels1.9
Win Impact2.1

Composite 2.7/10 (Learning), 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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time588ms−45ms
first ⅓ avg 633ms → last ⅓ avg 588ms
Headshot accuracy12.7%+3.2%
first ⅓ avg 9.5% → last ⅓ avg 12.7%

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 · 13–6 · anubis, 4 Feb →
35%Best headshot accuracy · 5–13 · nuke, 30 Jul →
414msFastest reaction time · 2–13 · inferno, 20 Sept →
13–2Biggest win · anubis, 12 Apr →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
10–10In matches decided by ≤2 rounds
6Overtime games

Map breakdown

ancientBest map · 47% over 15cacheWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoC2611–1542%-0.01
nukeB209–1145%0.00
anubisC198–1142%-0.01
ancientB157–847%-0.02
dust2D82–625%-0.05
cacheD51–420%-0.02
mirage—42–250%-0.02
overpass—20–20%-0.09
vertigo—11–0100%0.03

Across the last 100 tracked matches.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

12.5%Headshot accuracy
25.0%Accuracy (enemy spotted)
28.4%Spray accuracy
50.8%Counter-strafing
11.4°Preaim
576msReaction time
32.5%T opening success
42.5%CT opening success
0.52Enemies flashed / flash
4.1%Flash assists
12.05HE damage / grenade
6.65Flashes / 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 12.5372% — 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 32.4892% — 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.

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

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust213–8-0.0513%7 Oct →
anubis13–70.0234%5 Oct →
dust28–13-0.0217%5 Oct →
anubis11–13-0.0411%5 Oct →
inferno7–20.006%5 Oct →
ancient13–10-0.0114%4 Oct →
dust25–13-0.1016%4 Oct →
nuke3–13-0.0410%4 Oct →
mirage4–13-0.0813%4 Oct →
mirage13–40.0411%3 Oct →
dust24–13-0.128%3 Oct →
dust23–13-0.0513%3 Oct →
inferno11–13-0.0415%3 Oct →
ancient13–9-0.046%3 Oct →
dust215–150.0112%29 Sept →
nuke16–14-0.0020%29 Sept →
inferno13–80.016%27 Sept →
inferno6–13-0.037%25 Sept →
anubis11–13-0.0720%21 Sept →
anubis13–40.1010%21 Sept →
ancient6–130.008%21 Sept →
ancient6–130.0210%20 Sept →
inferno2–13-0.000%20 Sept →
ancient13–11-0.069%20 Sept →
nuke10–13-0.069%19 Sept →
nuke13–11-0.055%26 Aug →
cache6–13-0.050%26 Aug →
inferno13–70.0331%23 Aug →
anubis10–13-0.0014%23 Aug →
nuke8–13-0.0118%23 Aug →
nuke13–70.0425%21 Aug →
anubis13–9-0.059%20 Aug →
dust213–5-0.0221%20 Aug →
ancient6–130.0024%20 Aug →
inferno13–10-0.000%31 Jul →
nuke5–130.0135%30 Jul →
vertigo13–60.0319%8 Jul →
inferno11–13-0.0315%17 Jun →
ancient13–11-0.045%17 Jun →
nuke10–13-0.0310%17 Jun →
mirage8–13-0.0813%12 Jun →
anubis2–13-0.020%7 Jun →
inferno5–130.0513%7 Jun →
inferno8–130.0318%3 Jun →
inferno13–110.0117%3 Jun →
ancient9–13-0.065%4 May →
cache10–13-0.0213%4 May →
cache4–130.006%4 May →
inferno13–3-0.0518%4 May →
nuke11–130.0016%3 May →
anubis2–13-0.0915%3 May →
ancient7–13-0.0416%3 May →
anubis13–80.0615%3 May →
anubis13–7-0.0214%29 Apr →
cache13–100.027%29 Apr →
cache12–12-0.039%29 Apr →
anubis8–13-0.094%27 Apr →
nuke10–130.018%27 Apr →
ancient9–13-0.037%27 Apr →
nuke13–80.049%26 Apr →
inferno6–130.0123%26 Apr →
inferno9–13-0.028%24 Apr →
nuke7–130.0111%24 Apr →
inferno13–8-0.059%12 Apr →
inferno15–15-0.0110%12 Apr →
anubis13–20.0214%12 Apr →
inferno10–13-0.0320%1 Apr →
anubis6–13-0.024%30 Mar →
anubis13–11-0.0623%30 Mar →
inferno13–20.050%30 Mar →
inferno13–11-0.0011%25 Mar →
ancient13–60.0322%25 Mar →
inferno10–13-0.0317%23 Mar →
anubis9–13-0.015%23 Mar →
nuke11–130.0616%22 Mar →
ancient13–40.0314%22 Mar →
nuke16–120.033%22 Mar →
nuke13–60.014%18 Mar →
nuke13–7-0.050%15 Mar →
nuke9–130.0121%15 Mar →
anubis7–13-0.025%15 Mar →
nuke13–70.0510%5 Feb →
anubis9–130.0020%4 Feb →
nuke13–90.025%4 Feb →
overpass4–13-0.098%4 Feb →
anubis13–60.1111%4 Feb →
inferno11–13-0.058%4 Feb →
nuke11–130.0211%19 Jan →
inferno15–150.005%19 Jan →
anubis7–13-0.016%19 Jan →
inferno5–13-0.038%19 Jan →
ancient8–13-0.0210%18 Jan →
inferno16–140.028%18 Jan →
inferno3–13-0.068%15 Jan →
ancient11–130.016%15 Jan →
dust29–13-0.059%10 Jan →
inferno13–11-0.0414%5 Jan →
ancient13–4-0.075%5 Jan →
mirage13–110.0313%31 Dec →
overpass11–13-0.084%17 Dec →

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 →

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