dreico

dreico — CS2 Stats

FI76561197988699481[U:1:28433753]Steam profile ↗✓ No bans

1,268Tracked matches60%Win rate2020Tracked since
CSDB Rating6.6 SolidPositional Player
FaceitLevel 9 · 1,811 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (46 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,811 → 1,811
+24Tracked matches · now 1,268
−13.3ppWin rate · 73.3% → 60.0%

Rating over time

Premier CS Rating: 26,152 +4,483 30 Mar – 11 May · 13 days played
21,66926,285peak 26,28530 Mar11 May
Faceit ELO: 1,811 +0 6 Sept – 20 Sept · 3 observations
1,8111,811peak 1,8116 Sept20 Sept
26,285Peak Premier in tracked matches
1,811Highest Faceit ELO seen on CSDB
50Days played since 2026-01-04

Faceit ELO

  • At peak — 1,811
  • Next: Level 10 at 2,001 — 190 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-06
  • Level 8 first seen 2026-09-06

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.GGdreicoFACEITLevel 9 · 1,811 ELOSTANDINGTop 20.7% of rankedPEAK ELO1,811csdb.gg/stats

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Performance scores

Aim73
Positioning71
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY67–33Last 10067%Win rateWLLWLWWLWL

Last 10 vs previous 10: −20pp win rate · −0.04 avg rating · +1.7pp headshot accuracy · −2ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 536ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 552ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 554ms

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 (+1.4 against its own average).

Aim7.3
Utility6.6
Positioning7.1
Opening Duels7.0
Clutch2.2

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

device

Plays most like device 87% 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

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Reaction time. 560ms 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

Aim7.3
Positioning7.1
Utility6.6
Mechanics5.8
Opening Duels6.8
Win Impact8.3

Composite 6.6/10 (Solid), 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 rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time574ms−9ms
first ⅓ avg 583ms → last ⅓ avg 574ms
Headshot accuracy18.3%+0.9%
first ⅓ avg 17.4% → last ⅓ avg 18.3%

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

0.13Best match rating · 13–7 · nuke, 7 Aug →
40%Best headshot accuracy · 13–10 · inferno, 9 Jul →
422msFastest reaction time · 13–7 · anubis, 26 Jul →
13–1Biggest win · cache, 7 May →

Across the last 100 tracked matches.

Highlights

9Longest win streak
12–7In matches decided by ≤2 rounds
9Overtime games

Map breakdown

anubisBest map · 100% over 8infernoWeakest map · 50% over 18
MapGradePlayedRecordWin rateAvg rating
nukeS2216–673%0.01
infernoB189–950%0.01
ancientB179–853%-0.00
dust2A149–564%0.01
cacheS119–282%0.01
anubisS88–0100%-0.00
mirageA74–357%0.01
overpass—22–0100%0.02
train—11–0100%0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (50% over 18). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

598Matches
53%Win rate
1.20Avg K/D
84.0ADR
39%Headshot %

Clutches & streaks

31%1v1 clutch win
22%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Nuke9661%1.2517.7
Inferno8245%1.1316.3
Ancient6843%1.1116.9
Dust25847%1.1615.8
Mirage4326%1.0616.4
Anubis3047%1.0413.8
Train2662%1.2819.8
Overpass967%1.1514.2

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.

17.1%Headshot accuracy
36.8%Accuracy (enemy spotted)
42.2%Spray accuracy
76.0%Counter-strafing
10.5°Preaim
560msReaction time
54.1%T opening success
60.6%CT opening success
0.65Enemies flashed / flash
6.8%Flash assists
9.44HE damage / grenade
12.47Flashes / match

Recent matches

MapScoreRatingHS%Date
dust213–100.0021%28 Oct →
ancient10–13-0.039%28 Oct →
ancient6–13-0.0018%26 Oct →
anubis13–110.0415%24 Oct →
ancient11–130.0110%24 Oct →
anubis13–3-0.0326%16 Oct →
nuke13–5-0.0117%16 Oct →
ancient6–13-0.0710%12 Oct →
cache13–8-0.0613%12 Oct →
mirage9–13-0.0233%11 Oct →
dust213–80.048%7 Oct →
nuke13–11-0.0117%7 Oct →
nuke17–19-0.049%5 Oct →
inferno4–13-0.0616%5 Oct →
cache13–90.0515%3 Oct →
nuke13–30.0011%3 Oct →
nuke9–130.0123%13 Aug →
inferno13–50.1224%13 Aug →
nuke13–70.1318%7 Aug →
anubis13–7-0.0214%26 Jul →
nuke13–30.0519%26 Jul →
inferno10–13-0.0423%25 Jul →
cache11–13-0.0218%23 Jul →
nuke13–11-0.0219%23 Jul →
dust213–30.1116%23 Jul →
dust213–100.0815%12 Jul →
inferno13–90.0426%12 Jul →
ancient11–13-0.0221%12 Jul →
ancient10–13-0.0414%10 Jul →
nuke16–130.0119%10 Jul →
inferno13–100.0540%9 Jul →
cache13–30.0313%8 Jul →
train13–30.0734%8 Jul →
dust213–40.0719%6 Jul →
cache13–30.0130%6 Jul →
nuke13–60.0122%27 Jun →
ancient13–11-0.0221%27 Jun →
cache13–110.0115%27 Jun →
nuke10–13-0.0411%16 Jun →
inferno5–13-0.0413%6 Jun →
cache19–17-0.0111%6 Jun →
inferno13–100.0214%5 Jun →
cache13–3-0.0323%3 Jun →
dust214–160.0518%3 Jun →
nuke13–9-0.039%1 Jun →
dust213–11-0.0220%21 May →
inferno4–13-0.0214%21 May →
ancient2–13-0.0015%21 May →
inferno13–100.0011%19 May →
cache9–130.0418%11 May →
nuke13–30.0916%11 May →
dust211–13-0.0217%11 May →
dust27–13-0.0416%7 May →
inferno8–13-0.0234%7 May →
cache13–10.0715%7 May →
nuke13–11-0.0333%5 May →
inferno13–80.0230%5 May →
cache13–7-0.0312%1 May →
dust216–130.0618%26 Apr →
nuke9–13-0.0216%26 Apr →
anubis13–80.0015%24 Apr →
nuke16–13-0.0122%24 Apr →
ancient13–1-0.0216%24 Apr →
inferno16–130.0211%23 Apr →
ancient13–40.0414%23 Apr →
nuke13–8-0.0113%23 Apr →
inferno11–13-0.0013%22 Apr →
dust23–13-0.086%22 Apr →
ancient4–130.0111%10 Apr →
anubis13–90.0121%10 Apr →
dust213–6-0.0017%8 Apr →
nuke13–9-0.0427%8 Apr →
overpass13–110.0323%5 Apr →
nuke6–130.0425%5 Apr →
mirage13–10.0011%5 Apr →
mirage5–13-0.0324%4 Apr →
anubis13–100.0216%4 Apr →
inferno13–40.1219%4 Apr →
anubis13–60.0318%3 Apr →
nuke13–60.0416%3 Apr →
mirage13–80.0721%1 Apr →
ancient13–50.0214%1 Apr →
dust213–40.0121%30 Mar →
mirage13–40.0813%30 Mar →
nuke13–70.0216%30 Mar →
mirage9–130.0526%28 Mar →
inferno13–90.0119%28 Mar →
dust23–13-0.1021%28 Mar →
ancient13–11-0.0113%24 Mar →
inferno13–16-0.0118%24 Mar →
ancient13–90.0216%19 Mar →
inferno10–13-0.0215%19 Mar →
nuke6–130.0516%11 Mar →
ancient13–11-0.0114%11 Mar →
inferno8–130.0113%9 Mar →
mirage13–9-0.0530%9 Mar →
overpass13–7-0.0019%6 Mar →
anubis13–9-0.0713%6 Mar →
ancient16–14-0.0212%7 Jan →
ancient13–90.0512%4 Jan →

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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