Heart

Heart — CS2 Stats

US76561198328942046[U:1:368676318]Steam profile ↗✓ No bans

2,426Tracked matches23%Win rate2020Tracked since
CSDB Rating6.3 SolidPositional Player
FaceitLevel 9 · 2,128 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGHeartFACEITLevel 9 · 2,128 ELOSTANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim90
Positioning77
Utility40

0–100 skill scores via Leetify.

Recent form

COLD37–56–7Last 10037%Win rateLWWLLLLLLL

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · +3.3pp headshot accuracy · −17ms 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 0.07
  • Avg headshot accuracy 21%
  • Avg reaction 470ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 21%
  • Avg reaction 459ms

Last 20

  • 4–16 · 20% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 20%
  • Avg reaction 468ms

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 (+3 against its own average).

Aim9.0
Utility4.0
Positioning7.7
Opening Duels5.0
Clutch2.2

Sharp aimerLimited utility dependence

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

donk

Plays most like donk 90% playstyle similarity

Most alike: positioning profile, 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

Aim. Aim score of 90 — the mechanical foundation is a clear strength.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim9.0
Positioning7.7
Utility4.0
Mechanics6.0
Opening Duels5.1
Win Impact0.0

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 rating0.04−0.03
first ⅓ avg 0.07 → last ⅓ avg 0.04
Reaction time482ms−47ms
first ⅓ avg 529ms → last ⅓ avg 482ms
Headshot accuracy18.4%+1.8%
first ⅓ avg 16.6% → last ⅓ avg 18.4%

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

0.19Best match rating · 13–3 · dust2, 13 Jun →
42%Best headshot accuracy · 5–13 · dust2, 10 Oct →
359msFastest reaction time · 0–6 · inferno, 16 Jun →
13–3Biggest win · dust2, 13 Jun →

Across the last 100 tracked matches.

Highlights

5Longest win streak
5–8In matches decided by ≤2 rounds
3Overtime games

Map breakdown

nukeBest map · 57% over 14ancientWeakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
dust2C228–1436%0.08
infernoD155–1033%0.07
nukeA148–657%0.09
ancientD144–1029%0.04
mirageC135–838%0.00
anubisD72–529%0.03
cacheD62–433%0.06
train—40–40%0.09
office—21–150%0.05
overpass—22–0100%0.06
vertigo—10–10%0.10

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,003Matches
52%Win rate
1.18Avg K/D
77.9ADR
41%Headshot %

Clutches & streaks

31%1v1 clutch win
23%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage19840%1.0415.0
Ancient16655%1.1316.3
Vertigo9557%1.3715.9
Anubis8355%1.1616.6
Nuke7762%1.3316.0
Dust24351%1.0015.8
Overpass2752%1.0014.9
Inferno2737%1.0416.1

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.

18.7%Headshot accuracy
38.5%Accuracy (enemy spotted)
46.3%Spray accuracy
77.1%Counter-strafing
7.6°Preaim
486msReaction time
51.1%T opening success
50.0%CT opening success
0.60Enemies flashed / flash
9.9%Flash assists
7.62HE damage / grenade
3.90Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.8986 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Ancient

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

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno11–130.1218%18 Oct →
mirage13–50.0213%18 Oct →
office13–60.0132%17 Oct →
office11–130.0921%10 Oct →
nuke10–130.0921%10 Oct →
dust25–130.1042%10 Oct →
dust27–130.1014%4 Oct →
cache8–130.0711%4 Oct →
mirage8–13-0.0233%24 Sept →
anubis9–13-0.039%24 Sept →
ancient9–130.059%24 Sept →
dust27–130.0814%24 Sept →
ancient6–130.018%21 Sept →
mirage6–130.0310%12 Sept →
dust213–80.0823%12 Sept →
vertigo8–130.1032%12 Sept →
ancient6–13-0.0817%1 Sept →
cache4–130.0921%30 Aug →
mirage8–13-0.0129%30 Aug →
dust213–80.0317%29 Aug →
dust27–130.1216%29 Aug →
nuke13–50.1228%28 Aug →
ancient9–130.0419%28 Aug →
anubis9–13-0.0411%10 Aug →
inferno11–13-0.0022%13 Jul →
mirage26–280.0117%7 Jul →
mirage13–16-0.0418%7 Jul →
cache13–50.0421%7 Jul →
mirage13–110.077%30 Jun →
nuke10–130.0815%26 Jun →
ancient10–130.0019%26 Jun →
dust27–130.0612%26 Jun →
inferno0–6-0.037%16 Jun →
ancient7–13-0.046%16 Jun →
dust210–130.0417%16 Jun →
nuke13–100.0717%15 Jun →
mirage13–7-0.0329%15 Jun →
inferno10–130.0929%15 Jun →
dust210–13-0.0214%15 Jun →
inferno13–50.1215%13 Jun →
cache9–130.0119%13 Jun →
nuke13–70.1022%13 Jun →
inferno9–130.0216%13 Jun →
dust213–30.1925%13 Jun →
anubis6–130.0414%13 Jun →
nuke4–130.0219%12 Jun →
inferno10–130.0626%12 Jun →
nuke13–11-0.0013%12 Jun →
dust213–100.1225%12 Jun →
nuke13–30.1723%10 Jun →
cache13–50.0530%10 Jun →
dust213–70.1125%10 Jun →
dust212–120.1427%25 May →
mirage13–80.0516%25 May →
cache8–130.1111%17 May →
nuke8–130.1310%21 Feb →
ancient13–90.0716%21 Feb →
mirage10–13-0.037%14 Feb →
anubis8–13-0.0011%7 Feb →
nuke13–70.0322%7 Feb →
inferno13–60.0614%7 Feb →
dust211–130.0520%5 Feb →
mirage11–130.0118%4 Feb →
anubis3–13-0.0113%4 Feb →
anubis13–60.1314%25 Jan →
dust212–120.0917%25 Jan →
inferno5–130.0514%25 Jan →
nuke13–110.1321%24 Jan →
train7–130.1022%24 Jan →
dust23–130.0339%24 Jan →
inferno5–130.0312%24 Jan →
dust24–13-0.0424%22 Jan →
inferno13–70.0311%22 Jan →
inferno12–120.1810%19 Jan →
inferno13–110.0713%11 Jan →
ancient13–80.189%11 Jan →
dust213–40.0733%11 Jan →
mirage5–13-0.0121%4 Jan →
nuke13–110.0414%4 Jan →
ancient4–130.018%4 Jan →
dust28–130.1612%4 Jan →
anubis13–100.096%4 Jan →
ancient13–70.1610%1 Jan →
dust213–100.1411%1 Jan →
train12–120.0815%31 Dec →
nuke12–120.1314%31 Dec →
ancient12–120.0414%31 Dec →
inferno13–100.1113%31 Dec →
inferno9–130.0915%29 Dec →
dust27–130.0825%29 Dec →
overpass13–50.1119%29 Dec →
nuke11–130.0911%29 Dec →
train7–130.1023%29 Dec →
dust213–50.0219%25 Dec →
train12–120.0814%25 Dec →
ancient8–130.0013%28 Nov →
ancient11–130.0324%20 Nov →
ancient13–40.0510%20 Nov →
mirage13–9-0.0319%15 Nov →
overpass16–130.0220%15 Nov →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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