BloodRedKitty

BloodRedKitty — CS2 Stats

US76561198453056336[U:1:492790608]Steam profile ↗✓ No bans

297Tracked matches29%Win rate2022Tracked since
CSDB Rating3.1 LearningPositional Player
Ladder ranks via Leetify
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. Today is the first observation — history builds from here and cannot be backfilled. Come back after the next session and the change shows above.

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Performance scores

Aim34
Positioning33
Utility27

0–100 skill scores via Leetify.

Recent form

COLD31618Last 10031%Win rateWWLLLLWLLL

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · −1.8pp headshot accuracy · −163ms reaction

Win rate +10pp 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

  • 23 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 10%
  • Avg reaction 675ms

Last 10

  • 37 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 9%
  • Avg reaction 682ms

Last 20

  • 5141 · 25% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 10%
  • Avg reaction 763ms

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 (+1.3 against its own average).

Aim3.4
Utility2.7
Positioning3.3
Opening Duels0.0

Strong T-side openerLimited 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 79% 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. 761ms 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

Aim3.4
Positioning3.3
Utility2.7
Mechanics6.5
Opening Duels0.2
Win Impact0.0

Composite 3.1/10 (Learning), 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 rating-0.03+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time756ms−3ms
first ⅓ avg 759ms → last ⅓ avg 756ms
Headshot accuracy12.1%−2.3%
first ⅓ avg 14.5% → last ⅓ avg 12.1%

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 · 13–9 · inferno, 1 Aug
50%Best headshot accuracy · 1–13 · nuke, 23 Jul
523msFastest reaction time · 7–13 · anubis, 18 Jul
13–2Biggest win · overpass, 20 Jul

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
48In matches decided by ≤2 rounds

Map breakdown

overpassBest map · 44% over 9vertigoWeakest map · 0% over 6
MapGradePlayedRecordWin rateAvg rating
dust2D1851328%-0.03
ancientC1761135%-0.04
nukeD1641225%-0.04
infernoD134931%-0.01
mirageC104640%-0.03
overpassC94544%-0.02
vertigoD6060%-0.03
trainD51420%-0.04
anubis21150%-0.03
grail2020%0.04
office220100%-0.05

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (0% over 6). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

12.3%Headshot accuracy
34.3%Accuracy (enemy spotted)
33.3%Spray accuracy
79.4%Counter-strafing
12.2°Preaim
761msReaction time
31.6%T opening success
18.7%CT opening success
0.38Enemies flashed / flash
3.7%Flash assists
6.15HE damage / grenade
3.01Flashes / 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 12.2397° — 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 12.2975% — 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 761.1398ms — above the 700ms mark we flag

    Aim Training
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.

0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategyVertigo grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–6-0.0310%19 Jul
ancient13–10-0.068%19 Jul
ancient11–13-0.0320%19 Jul
mirage2–11-0.090%4 Jul
inferno3–13-0.0314%4 Jul
ancient0–7-0.100%4 Jul
mirage10–9-0.014%4 Jul
inferno10–130.028%27 Jun
inferno2–13-0.0421%27 Jun
mirage2–120.033%27 Jun
dust25–13-0.057%20 Jun
nuke3–13-0.050%13 Jun
dust26–13-0.0616%13 Jun
ancient7–13-0.119%13 Jun
ancient10–13-0.0711%13 Jun
mirage7–4-0.0512%13 Jun
dust28–130.0016%13 Jun
ancient13–9-0.0818%27 Nov
train12–12-0.0014%27 Sept
nuke6–13-0.064%24 Sept
ancient12–12-0.0718%22 Sept
dust27–130.0313%22 Sept
nuke13–60.0418%6 Aug
grail6–130.0610%3 Aug
mirage8–13-0.089%2 Aug
inferno13–90.0916%1 Aug
nuke13–110.0118%1 Aug
ancient4–130.0626%1 Aug
vertigo8–13-0.0611%31 Jul
nuke2–130.0011%31 Jul
ancient10–13-0.0226%31 Jul
train13–70.0020%30 Jul
train5–13-0.069%30 Jul
overpass7–130.0111%30 Jul
ancient5–130.0214%30 Jul
dust213–9-0.082%30 Jul
nuke4–13-0.0615%29 Jul
grail9–130.0118%29 Jul
office13–10-0.038%29 Jul
ancient13–10-0.0018%29 Jul
nuke13–6-0.0210%29 Jul
overpass13–9-0.0116%29 Jul
inferno1–13-0.0727%26 Jul
overpass3–13-0.0815%24 Jul
ancient11–13-0.0420%24 Jul
inferno4–13-0.0415%24 Jul
nuke1–13-0.0950%23 Jul
ancient3–13-0.090%23 Jul
vertigo11–13-0.0213%23 Jul
inferno6–13-0.0420%22 Jul
inferno13–40.0010%22 Jul
inferno13–11-0.018%22 Jul
mirage5–13-0.0315%22 Jul
overpass13–3-0.0817%20 Jul
inferno13–70.0313%20 Jul
overpass13–20.0814%20 Jul
ancient13–9-0.077%19 Jul
overpass3–13-0.0214%18 Jul
overpass13–3-0.013%18 Jul
anubis7–13-0.039%18 Jul
overpass11–13-0.0314%18 Jul
inferno9–13-0.0912%18 Jul
nuke12–12-0.0214%10 Jul
nuke13–110.0010%10 Jul
inferno6–130.016%10 Jul
dust212–12-0.0822%8 Jul
dust213–7-0.0613%8 Jul
inferno8–13-0.0112%8 Jul
dust21–130.0312%8 Jul
dust211–13-0.0913%8 Jul
nuke7–13-0.0211%1 Jul
train9–13-0.049%27 Jun
dust213–80.0623%26 Jun
dust211–13-0.0120%25 Jun
dust22–130.0119%25 Jun
nuke5–13-0.0715%22 Jun
vertigo6–13-0.0318%22 Jun
mirage13–20.0120%22 Jun
vertigo7–13-0.0322%22 Jun
overpass12–12-0.0410%21 Jun
dust27–13-0.0416%21 Jun
ancient12–12-0.0525%21 Jun
mirage12–120.0219%19 Jun
nuke2–13-0.0316%18 Jun
ancient13–3-0.0310%18 Jun
dust212–12-0.0418%18 Jun
vertigo11–13-0.1012%16 Jun
dust24–13-0.0616%30 May
ancient13–50.0014%30 May
nuke6–13-0.0616%3 Dec
dust213–3-0.058%3 Dec
office13–4-0.060%2 Dec
nuke6–13-0.104%2 Dec
mirage13–9-0.106%1 Dec
dust24–130.0116%26 Nov
vertigo6–130.0415%25 Nov
dust213–70.0119%23 Nov
train1–13-0.1015%23 Nov
mirage11–13-0.0118%8 Nov
nuke8–13-0.0911%6 Nov

Match data via Leetify.

Recent teammates

Milestones

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