k0ld

k0ld — CS2 Stats

AQ76561199007674884[U:1:1047409156]Steam profile ↗✓ No bans

731Tracked matches43%Win rate2023Tracked since
1,380Hours in CS26Hrs last 2 wks
CSDB Rating7.2 StrongPositional Player
Premier CS Rating20,562Top 50% of 210,832 CSDB-tracked playersPink band · top ~7.9% of ranked players (population est.)
CSDB Leaderboard#74969 of 257797 tracked
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 20,562 +849 28 Aug – 26 Oct · 16 days played
19,60821,574peak 21,57428 Aug26 Oct
21,574Peak Premier in tracked matches
40Days played since 2026-08-09

Premier CS Rating

  • 1,012 below peak (21,574)
  • -275 over 30 days · steady
  • Next: Red band at 25,000 — 4,438 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-10-23
  • Purple band first seen 2026-08-30

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches6342+21
Win rate44%48%−3pp
K/D1.081.11−0.03
Headshot %53%49%+4pp

Measured 23 Sep 2026 → 27 Oct 2026; previous 30 Aug 2026 → 23 Sep 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate47.4%46.9%49.3%1.9% short
Shot accuracy3.2%13.0%13.4%10.2% short
Kill/death ratio1.241.081.12above
Match win rate45.2%46.7%48.5%3.3% short

This profile matches the typical Red band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGk0ldPREMIER20,562 · Pink bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim86
Positioning69
Utility57

0–100 skill scores via Leetify.

Recent form

COLD50–46–4Last 10050%Win rateWLWLLLLWLL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +5.2pp headshot accuracy · −42ms reaction

Win rate 0pp 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 -0.00
  • Avg headshot accuracy 31%
  • Avg reaction 603ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 27%
  • Avg reaction 607ms

Last 20

  • 6–12–2 · 30% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 25%
  • Avg reaction 628ms

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 (+1.3 against its own average).

Aim8.6
Utility5.7
Positioning6.9
Opening Duels6.0
Clutch3.6

Sharp aimer

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

m0NESY

Plays most like m0NESY 93% playstyle similarity

Most alike: opening-duel success, positioning 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

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

T openings. 64% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 599ms 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

Aim8.6
Positioning6.9
Utility5.7
Mechanics8.2
Opening Duels7.7
Win Impact2.6

Composite 7.2/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.03
first ⅓ avg 0.05 → last ⅓ avg 0.02
Reaction time601ms+35ms
first ⅓ avg 566ms → last ⅓ avg 601ms
Headshot accuracy22.4%+0.4%
first ⅓ avg 22.0% → last ⅓ avg 22.4%

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

0.22Best match rating · 13–3 · anubis, 29 Aug →
42%Best headshot accuracy · 8–13 · inferno, 25 Oct →
406msFastest reaction time · 13–10 · office, 1 Sept →
13–1Biggest win · inferno, 26 Aug →

Across the last 100 tracked matches.

Highlights

9Longest win streak
9–7In matches decided by ≤2 rounds
3Overtime games

Map breakdown

nukeBest map · 64% over 11vertigoWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
cacheA2314–961%0.03
infernoB189–950%0.04
ancientC114–736%0.02
nukeA117–464%0.04
anubisC114–736%0.03
mirageB63–350%0.01
vertigoD62–433%0.03
dust2C52–340%-0.00
overpass—32–167%0.06
train—21–150%0.01
boulder—21–150%0.00
office—21–150%-0.02

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Lifetime stats

38,942Lifetime kills
1.24K/D · Top 25% of Pink band
1,897Matches
45.2%Match win rate
47.4%Headshot % · Top 50% of Pink band
3.2%Shot accuracy
4,665MVPs
749Hours (in match)
1,698Bombs planted
813Bombs defused

Most-used weapons

Lifetime map wins

3,203inferno
2,716dust2
2,028nuke
673vertigo
627office
220train
109lake
61italy

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

Faceit stats

Combat

181Matches
57%Win rate
0.99Avg K/D
73.4ADR
46%Headshot %

Clutches & streaks

38%1v1 clutch win
18%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage5149%0.8512.2
Dust23749%0.8813.5
Anubis3077%1.2112.4
Nuke2050%1.0015.2
Inferno2070%1.2714.7
Ancient1464%0.9214.2
Vertigo862%1.0512.9
Cache10%0.6911.0

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.

22.6%Headshot accuracy
38.1%Accuracy (enemy spotted)
40.8%Spray accuracy
87.1%Counter-strafing
9.1°Preaim
599msReaction time
64.3%T opening success
57.6%CT opening success
0.52Enemies flashed / flash
6.3%Flash assists
5.54HE damage / grenade
11.24Flashes / match

Recommended for you

Spend your practice time on Vertigo

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage16–140.0024%26 Oct →
inferno8–130.0442%25 Oct →
cache13–70.0427%25 Oct →
cache8–13-0.0440%25 Oct →
ancient3–13-0.0524%25 Oct →
inferno11–130.0219%25 Oct →
nuke11–130.0025%25 Oct →
inferno13–70.0317%24 Oct →
cache9–130.0225%24 Oct →
nuke8–130.0729%22 Oct →
mirage0–13-0.0120%22 Oct →
cache12–120.0021%21 Oct →
inferno9–130.0223%20 Oct →
cache13–7-0.0019%20 Oct →
mirage4–13-0.0418%20 Oct →
vertigo13–110.0819%19 Oct →
overpass13–90.1219%19 Oct →
anubis5–13-0.0229%18 Oct →
cache12–120.0433%18 Oct →
vertigo11–130.0819%16 Oct →
ancient1–11-0.0332%15 Oct →
inferno3–13-0.0513%15 Oct →
dust213–110.0019%15 Oct →
vertigo11–130.019%15 Oct →
cache13–8-0.0031%14 Oct →
inferno13–10-0.0114%10 Oct →
mirage13–50.0718%10 Oct →
cache13–80.0326%10 Oct →
train13–20.0714%10 Oct →
cache10–130.0813%2 Oct →
cache13–110.0821%1 Oct →
ancient8–13-0.0220%1 Oct →
boulder13–9-0.0322%1 Oct →
dust27–13-0.0513%1 Oct →
office6–13-0.0124%1 Oct →
ancient8–130.0116%28 Sept →
anubis2–13-0.0410%28 Sept →
anubis13–110.0617%27 Sept →
overpass5–13-0.0211%25 Sept →
dust25–13-0.0028%25 Sept →
cache16–14-0.0219%25 Sept →
nuke3–13-0.0616%20 Sept →
ancient13–60.0223%20 Sept →
anubis10–13-0.0116%20 Sept →
ancient6–13-0.0331%20 Sept →
cache13–100.0113%20 Sept →
inferno13–60.0136%20 Sept →
anubis10–130.0313%20 Sept →
inferno11–130.0511%19 Sept →
nuke13–30.0630%19 Sept →
boulder12–120.0319%19 Sept →
vertigo2–13-0.0617%19 Sept →
cache5–13-0.106%19 Sept →
nuke13–40.1017%19 Sept →
inferno13–90.0016%16 Sept →
cache13–90.0522%16 Sept →
inferno7–13-0.0310%16 Sept →
ancient13–100.1620%13 Sept →
inferno10–13-0.0320%13 Sept →
cache5–130.0335%11 Sept →
inferno13–30.1529%11 Sept →
dust213–80.0427%11 Sept →
mirage5–130.0319%11 Sept →
cache13–8-0.0218%9 Sept →
inferno13–20.1317%9 Sept →
nuke12–12-0.0321%8 Sept →
dust24–13-0.0019%7 Sept →
anubis10–13-0.0336%6 Sept →
nuke13–7-0.0116%3 Sept →
cache9–130.0620%3 Sept →
inferno13–100.0919%3 Sept →
anubis13–30.0720%1 Sept →
office13–10-0.0318%1 Sept →
ancient14–160.0624%31 Aug →
nuke13–30.0636%31 Aug →
anubis9–13-0.0425%30 Aug →
ancient9–130.0416%30 Aug →
vertigo10–13-0.0418%30 Aug →
ancient13–90.0118%30 Aug →
anubis13–30.2231%29 Aug →
vertigo13–70.0825%29 Aug →
cache13–80.1137%29 Aug →
cache13–80.0030%28 Aug →
inferno13–110.0918%28 Aug →
ancient13–110.0827%28 Aug →
cache13–80.0935%28 Aug →
nuke13–60.1117%28 Aug →
inferno10–130.0719%26 Aug →
inferno13–10.0620%26 Aug →
cache13–30.1430%26 Aug →
train8–13-0.0512%22 Aug →
inferno10–130.0317%18 Aug →
anubis13–90.0522%18 Aug →
anubis11–130.0814%16 Aug →
nuke13–60.1419%16 Aug →
overpass13–110.0716%15 Aug →
mirage13–70.0215%13 Aug →
nuke13–10-0.0117%13 Aug →
cache13–60.0422%10 Aug →
cache6–130.0617%9 Aug →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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