cooldi : - D

cooldi : - D — CS2 Stats

FI76561198392005384[U:1:431739656]Steam profile ↗✓ No bans

1,026Tracked matches23%Win rate2020Tracked since
1,219Hours in CS
CSDB Rating3.8 LearningSupport
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Aug 2026 (69 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,026 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 18,566 -1,028 13 Oct – 1 Dec · 25 days played
17,61419,911peak 19,91113 Oct1 Dec
19,911Peak Premier in tracked matches
1,719Highest Faceit ELO seen on CSDB
64Days played since 2025-10-13

Faceit ELO

  • At peak — 1,719
  • Next: Level 9 at 1,751 — 32 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.GGcooldi : - DPEAK ELO1,719csdb.gg/stats

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Performance scores

Aim49
Positioning36
Utility63

0–100 skill scores via Leetify.

Recent form

COLD43–53–4Last 10043%Win rateLLWLWLLLWL

Last 10 vs previous 10: +20pp win rate · −0.00 avg rating · −1.9pp headshot accuracy · −33ms reaction

Win rate up 20pp 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 (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 628ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 606ms

Last 20

  • 4–16 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 622ms

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 (+2.6 against its own average).

Aim4.9
Utility6.3
Positioning3.6
Opening Duels1.0
Clutch4.0

Strong CT-side opener

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

ZywOo

Plays most like ZywOo 73% 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

T-side openings. Opening success drops from 43% on CT to 16% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 635ms 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

Aim4.9
Positioning3.6
Utility6.3
Mechanics4.5
Opening Duels1.6
Win Impact0.0

Composite 3.8/10 (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 time632ms+10ms
first ⅓ avg 623ms → last ⅓ avg 632ms
Headshot accuracy15.3%+2.3%
first ⅓ avg 12.9% → last ⅓ avg 15.3%

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

0.12Best match rating · 13–1 · mirage, 1 Nov →
31%Best headshot accuracy · 9–13 · dust2, 26 Mar →
422msFastest reaction time · 7–13 · mirage, 26 Apr →
13–1Biggest win · mirage, 1 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
8–10In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 78% over 9dust2Weakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
mirageC228–1436%-0.01
ancientA2011–955%-0.01
nukeC146–843%-0.02
trainA116–555%-0.01
infernoS97–278%0.01
dust2D71–614%-0.04
anubisD72–529%-0.02
overpassD72–529%-0.02
vertigo—20–20%0.00
cache—10–10%-0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

45,063Lifetime kills
0.85K/D
2,415Matches
48.0%Match win rate · Top 50% of tracked players
36.7%Headshot %
11.5%Shot accuracy
5,064MVPs
1,219Hours (in match)
3,223Bombs planted
1,107Bombs defused

Most-used weapons

Lifetime map wins

5,213inferno
1,527nuke
1,311dust2
833train
430vertigo
314cbble
111office
28lake

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

Faceit stats

Combat

615Matches
54%Win rate
0.97Avg K/D
73.1ADR
38%Headshot %

Clutches & streaks

40%1v1 clutch win
22%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage15254%0.9813.5
Ancient9756%0.9414.3
Nuke7158%0.9514.3
Anubis7148%0.9414.0
Inferno5058%1.0915.0
Dust24149%0.9213.4
Overpass2343%0.9013.3
Train1861%1.1414.5

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.

15.3%Headshot accuracy
32.3%Accuracy (enemy spotted)
39.4%Spray accuracy
70.2%Counter-strafing
10.8°Preaim
635msReaction time
16.5%T opening success
42.6%CT opening success
0.70Enemies flashed / flash
4.7%Flash assists
9.91HE damage / grenade
14.61Flashes / 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 16.4867% — below the 40% mark we flag

Spend your practice time on Dust 2

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke3–13-0.068%19 Aug →
nuke11–13-0.0324%16 Aug →
nuke16–14-0.0510%8 Aug →
mirage7–13-0.0417%6 Aug →
mirage13–60.0512%4 Aug →
mirage7–13-0.0310%26 Apr →
cache7–13-0.0617%26 Apr →
nuke10–13-0.0513%17 Apr →
mirage13–50.0317%1 Apr →
ancient10–13-0.0020%28 Mar →
vertigo7–13-0.0314%26 Mar →
dust29–130.0131%26 Mar →
ancient10–13-0.0517%21 Mar →
ancient10–13-0.038%19 Mar →
anubis11–130.0224%15 Mar →
inferno4–10-0.0221%9 Mar →
anubis5–13-0.0511%8 Mar →
mirage16–14-0.017%5 Mar →
nuke4–13-0.0323%24 Feb →
anubis9–13-0.0210%3 Feb →
anubis5–13-0.069%2 Feb →
nuke11–130.0414%24 Jan →
mirage11–13-0.0110%23 Jan →
mirage5–13-0.0816%21 Jan →
overpass5–13-0.0514%17 Jan →
anubis3–13-0.0813%17 Jan →
mirage8–13-0.0121%15 Jan →
ancient13–70.0416%29 Dec →
ancient13–110.0018%27 Dec →
train13–8-0.0418%27 Dec →
anubis13–70.0112%23 Dec →
inferno13–70.0113%21 Dec →
inferno4–13-0.0217%19 Dec →
mirage11–13-0.0321%15 Dec →
inferno13–5-0.0111%14 Dec →
train13–50.0412%14 Dec →
anubis13–70.0615%14 Dec →
mirage13–100.0121%7 Dec →
train19–15-0.0211%6 Dec →
mirage15–15-0.0313%1 Dec →
ancient13–6-0.0110%1 Dec →
ancient11–13-0.0612%28 Nov →
train13–110.0517%27 Nov →
ancient13–100.0622%27 Nov →
ancient13–60.036%27 Nov →
dust28–13-0.076%21 Nov →
ancient6–13-0.0423%21 Nov →
nuke10–13-0.0223%20 Nov →
overpass7–13-0.0616%19 Nov →
overpass3–13-0.0318%19 Nov →
nuke15–15-0.026%19 Nov →
inferno13–40.0414%18 Nov →
inferno13–4-0.0410%18 Nov →
train15–15-0.0120%17 Nov →
mirage13–5-0.0211%16 Nov →
mirage10–13-0.0513%15 Nov →
ancient13–50.0115%15 Nov →
nuke13–90.0011%15 Nov →
ancient13–6-0.0111%14 Nov →
inferno13–70.0216%12 Nov →
mirage7–13-0.0210%12 Nov →
train13–11-0.0211%11 Nov →
mirage13–80.026%9 Nov →
nuke13–11-0.0210%8 Nov →
dust28–13-0.0521%7 Nov →
train13–5-0.055%7 Nov →
dust25–13-0.0416%6 Nov →
ancient13–110.0210%5 Nov →
mirage10–13-0.0115%5 Nov →
mirage7–130.0313%5 Nov →
dust28–13-0.0214%4 Nov →
dust213–6-0.0215%4 Nov →
train10–13-0.036%2 Nov →
overpass11–13-0.059%2 Nov →
ancient9–130.0321%1 Nov →
overpass13–70.0220%1 Nov →
mirage13–10.1219%1 Nov →
mirage10–13-0.0417%1 Nov →
train2–13-0.0316%1 Nov →
ancient13–7-0.0015%1 Nov →
train15–15-0.0121%29 Oct →
nuke13–5-0.0311%29 Oct →
nuke11–13-0.042%28 Oct →
ancient4–13-0.0813%28 Oct →
mirage13–20.0012%28 Oct →
vertigo3–130.0421%27 Oct →
inferno13–9-0.0113%25 Oct →
ancient13–8-0.0110%25 Oct →
overpass13–80.0415%24 Oct →
ancient13–11-0.055%24 Oct →
mirage11–13-0.0511%24 Oct →
ancient7–13-0.0814%23 Oct →
nuke13–8-0.0413%23 Oct →
mirage11–130.0510%23 Oct →
dust213–16-0.066%21 Oct →
ancient8–130.018%20 Oct →
nuke13–90.0318%18 Oct →
inferno13–10.108%18 Oct →
train8–13-0.0510%18 Oct →
overpass6–13-0.0320%13 Oct →

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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