[KDS]To Fast To Die

[KDS]To Fast To Die — CS2 Stats

76561198409566412[U:1:449300684]Steam profile ↗✓ No bans

1,815Tracked matches43%Win rate2021Tracked since
CSDB Rating2.9 LearningPositional Player
Premier CS Rating3,333Grey band · top ~85.9% of ranked players (population est.)
FaceitLevel 2 · 673 ELOTop 97.9% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−220Premier CS Rating · 3,553 → 3,333
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 35 days played since 6 Aug 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 3,333 +457 6 Aug22 Sept · 35 days played
2,8763,932peak 3,9326 Aug22 Sept
3,932Peak Premier in tracked matches
673Highest Faceit ELO seen on CSDB
35Days played since 2026-08-06

Faceit ELO

  • At peak — 673
  • Next: Level 3 at 751 78 to go
  • Reached: Level 2

Premier CS Rating

  • 599 below peak (3,932)
  • +45 over 30 days · steady
  • Next: Light Blue band at 5,000 1,667 to go

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

Share this profile

CSDB.GG[KDS]To Fast To DieFACEITLevel 2 · 673 ELOSTANDINGTop 97.9% of rankedPREMIER3,333 · Grey bandPEAK ELO673csdb.gg/stats

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Performance scores

Aim28
Positioning41
Utility29

0–100 skill scores via Leetify.

Recent form

STEADY46504Last 10046%Win rateLLWLLWWLLW

Last 10 vs previous 10: −20pp win rate · +0.02 avg rating · +6.2pp headshot accuracy · −0ms reaction

Win rate down 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 (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 14 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 15%
  • Avg reaction 739ms

Last 10

  • 46 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 13%
  • Avg reaction 723ms

Last 20

  • 1010 · 50% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 10%
  • Avg reaction 723ms

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 PlayerPositioning stands above the rest of this profile (+1.8 against its own average).

Aim2.8
Utility2.9
Positioning4.1
Opening Duels0.3
Clutch1.8

Limited 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

NiKo

Plays most like NiKo 71% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 702ms 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

Aim2.8
Positioning4.1
Utility2.9
Mechanics4.8
Opening Duels1.5
Win Impact2.8

Composite 2.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.05+0.00
first ⅓ avg -0.05 → last ⅓ avg -0.05
Reaction time682ms+2ms
first ⅓ avg 680ms → last ⅓ avg 682ms
Headshot accuracy9.1%+0.1%
first ⅓ avg 9.0% → last ⅓ avg 9.1%

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

0.09Best match rating · 13–7 · ancient, 26 Aug
27%Best headshot accuracy · 9–13 · dust2, 22 Sept
438msFastest reaction time · 6–13 · inferno, 3 Sept
13–4Biggest win · dust2, 20 Sept

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
154In matches decided by ≤2 rounds
14Overtime games

Map breakdown

anubisBest map · 62% over 13infernoWeakest map · 38% over 16
MapGradePlayedRecordWin rateAvg rating
nukeC1981142%-0.06
dust2C1771041%-0.03
infernoC1661038%-0.05
ancientB158753%-0.05
anubisA138562%-0.04
mirageC125742%-0.06
cacheB84450%-0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

29Matches
28%Win rate
0.52Avg K/D
49.4ADR
24%Headshot %

Clutches & streaks

29%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Inferno617%0.559.0
Dust2617%0.528.7
Nuke633%0.526.8
Mirage540%0.648.0
Anubis20%0.304.5
Ancient10%0.7512.0

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.

9.2%Headshot accuracy
33.2%Accuracy (enemy spotted)
33.8%Spray accuracy
71.6%Counter-strafing
12.6°Preaim
702msReaction time
37.7%T opening success
34.1%CT opening success
0.40Enemies flashed / flash
0.9%Flash assists
5.23HE damage / grenade
3.96Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.5883° — above the 12° mark we flag

    Aim Training
  2. 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 9.1781% — below the 15% mark we flag

    Aim Training
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 701.6058ms — above the 700ms mark we flag

    Aim Training
Spend your practice time on Inferno

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

38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust29–13-0.0427%22 Sept
ancient2–13-0.0515%22 Sept
ancient13–10-0.0311%21 Sept
ancient10–13-0.0517%21 Sept
dust28–13-0.115%20 Sept
dust213–60.0018%20 Sept
dust213–40.0116%20 Sept
ancient4–13-0.110%18 Sept
mirage9–13-0.055%18 Sept
nuke13–4-0.0216%16 Sept
inferno13–10-0.079%16 Sept
nuke5–13-0.085%16 Sept
inferno12–16-0.090%13 Sept
dust213–11-0.058%13 Sept
ancient13–5-0.0820%13 Sept
mirage13–11-0.055%13 Sept
nuke14–16-0.027%13 Sept
mirage13–6-0.074%13 Sept
nuke13–11-0.064%13 Sept
nuke11–13-0.055%12 Sept
inferno1–13-0.088%11 Sept
ancient13–8-0.0412%11 Sept
dust23–13-0.0817%11 Sept
cache9–130.026%11 Sept
nuke4–13-0.0711%10 Sept
anubis13–7-0.073%9 Sept
cache13–10-0.089%9 Sept
nuke5–13-0.049%9 Sept
anubis2–13-0.0911%8 Sept
inferno14–16-0.025%8 Sept
dust25–130.055%7 Sept
anubis5–13-0.106%7 Sept
mirage5–13-0.002%6 Sept
nuke8–13-0.049%6 Sept
mirage8–13-0.100%3 Sept
inferno6–13-0.108%3 Sept
dust213–9-0.0112%2 Sept
nuke10–13-0.0212%2 Sept
inferno13–11-0.0512%1 Sept
ancient6–13-0.0619%31 Aug
cache13–11-0.047%31 Aug
nuke2–13-0.0817%31 Aug
dust213–11-0.0416%30 Aug
nuke9–13-0.115%30 Aug
ancient16–13-0.046%30 Aug
cache3–13-0.123%30 Aug
inferno15–15-0.047%30 Aug
anubis13–11-0.026%29 Aug
inferno13–11-0.048%29 Aug
ancient13–11-0.031%29 Aug
nuke9–13-0.0512%28 Aug
anubis13–9-0.0210%28 Aug
mirage7–13-0.0613%28 Aug
dust215–15-0.046%28 Aug
ancient4–13-0.0819%27 Aug
dust215–15-0.0313%27 Aug
nuke13–8-0.0511%26 Aug
ancient4–13-0.135%26 Aug
ancient13–70.0911%26 Aug
mirage9–13-0.070%26 Aug
dust213–8-0.0111%26 Aug
dust211–130.045%26 Aug
ancient13–7-0.0110%24 Aug
mirage13–6-0.024%24 Aug
nuke13–11-0.086%24 Aug
anubis13–10-0.047%23 Aug
cache8–13-0.0413%23 Aug
anubis13–9-0.028%23 Aug
inferno8–13-0.035%23 Aug
nuke13–7-0.090%23 Aug
ancient6–13-0.0314%21 Aug
nuke13–9-0.0319%21 Aug
anubis8–13-0.0512%21 Aug
dust29–13-0.0713%20 Aug
inferno0–13-0.114%20 Aug
anubis10–13-0.0310%20 Aug
nuke16–14-0.108%19 Aug
anubis16–130.039%19 Aug
inferno9–13-0.019%17 Aug
inferno16–14-0.066%16 Aug
cache13–8-0.087%16 Aug
anubis13–8-0.004%16 Aug
mirage13–11-0.0510%13 Aug
inferno9–13-0.077%13 Aug
anubis13–4-0.0414%13 Aug
dust28–13-0.098%12 Aug
mirage10–13-0.074%12 Aug
cache16–12-0.097%12 Aug
ancient16–14-0.1215%11 Aug
inferno13–11-0.058%11 Aug
mirage9–13-0.076%11 Aug
cache3–13-0.0718%11 Aug
dust213–50.0116%11 Aug
dust212–16-0.0810%10 Aug
inferno5–13-0.083%10 Aug
anubis15–15-0.0210%10 Aug
mirage13–7-0.0613%9 Aug
nuke13–6-0.0710%9 Aug
inferno13–80.029%6 Aug
nuke4–13-0.073%6 Aug

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 →