MissKarma

MissKarma — CS2 Stats

76561198160567682[U:1:200301954]Steam profile ↗✓ No bans

2,504Tracked matches33%Win rate2020Tracked since
CSDB Rating3.0 LearningSupport
Premier CS Rating2,079Grey band · top ~91.2% of ranked players (population est.)
FaceitLevel 1Top 100.0% of ranked FACEIT players
WingmanSilver III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Nov 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: 2,079 -1,158 9 Oct – 2 Nov · 4 days played
2,0793,237peak 3,2379 Oct2 Nov
3,473Peak Premier in tracked matches
20Days played since 2026-10-07

Premier CS Rating

  • 1,158 below peak (3,237)
  • -1,158 over 30 days · declining
  • Next: Light Blue band at 5,000 — 2,921 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.GGMissKarmaFACEITLevel 1STANDINGTop 100.0% of rankedPREMIER2,079 · Grey bandcsdb.gg/stats

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Performance scores

Aim12
Positioning43
Utility68

0–100 skill scores via Leetify.

Recent form

COLD37–50–13Last 10037%Win rateWWLLLLTWLL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +0.8pp headshot accuracy · −7ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 619ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 11%
  • Avg reaction 614ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 10%
  • Avg reaction 618ms

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).

Aim1.2
Utility6.8
Positioning4.3
Opening Duels1.5

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.

Strengths & areas to improve

Areas to improve

CT openings. Opening success drops from 59% on T to 38% on CT — first contacts on the defending side are being lost.

Reaction time. 624ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim1.2
Positioning4.3
Utility6.8
Mechanics4.3
Opening Duels4.6
Win Impact0.0

Composite 3.0/10 (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-0.05−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.05
Reaction time621ms−6ms
first ⅓ avg 627ms → last ⅓ avg 621ms
Headshot accuracy10.6%+0.2%
first ⅓ avg 10.4% → last ⅓ avg 10.6%

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

0.10Best match rating · 13–3 · cache, 9 Oct →
23%Best headshot accuracy · 13–5 · dust2, 9 Oct →
391msFastest reaction time · 10–13 · dust2, 1 Nov →
13–0Biggest win · dust2, 8 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
4–3In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 40% over 60cacheWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
dust2C6024–3640%-0.03
cacheD113–827%-0.02
infernoC114–736%-0.03
mirage—31–233%-0.05
train—31–233%-0.03
office—31–233%-0.03
ancient—20–20%-0.06
vertigo—21–150%-0.05
anubis—10–10%-0.07
italy—11–0100%-0.02
overpass—11–0100%-0.06
nuke—10–10%-0.07
shelter—10–10%-0.04

Across the last 100 tracked matches.

Faceit stats

Combat

35Matches
31%Win rate
0.52Avg K/D
—ADR
27%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
2Longest win streak

Recent Faceit resultsLLWWL

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.

10.6%Headshot accuracy
25.2%Accuracy (enemy spotted)
25.4%Spray accuracy
69.4%Counter-strafing
16.2°Preaim
624msReaction time
59.3%T opening success
37.7%CT opening success
0.67Enemies flashed / flash
5.6%Flash assists
12.27HE damage / grenade
17.11Flashes / 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 16.1723° — 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 10.5796% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Cache

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
cache13–100.0110%2 Nov →
dust213–3-0.0115%2 Nov →
dust29–130.0213%2 Nov →
dust28–13-0.1010%1 Nov →
dust210–13-0.076%1 Nov →
dust210–13-0.096%31 Oct →
dust212–12-0.0614%31 Oct →
cache13–11-0.0611%24 Oct →
dust20–5-0.079%24 Oct →
dust25–13-0.0912%24 Oct →
dust213–10-0.036%24 Oct →
dust213–7-0.058%24 Oct →
dust210–13-0.0511%23 Oct →
cache8–13-0.0612%23 Oct →
dust212–12-0.0411%23 Oct →
inferno13–10-0.053%23 Oct →
dust28–13-0.0412%23 Oct →
dust213–11-0.049%23 Oct →
inferno8–13-0.048%23 Oct →
mirage8–13-0.0420%22 Oct →
dust21–13-0.1014%22 Oct →
dust213–50.009%22 Oct →
ancient12–12-0.069%22 Oct →
dust28–13-0.089%22 Oct →
cache12–12-0.0012%22 Oct →
inferno12–12-0.0617%22 Oct →
dust212–12-0.0610%22 Oct →
dust210–13-0.0212%22 Oct →
dust22–13-0.1113%21 Oct →
dust27–13-0.0311%21 Oct →
dust213–8-0.039%21 Oct →
cache8–13-0.0813%21 Oct →
cache10–13-0.058%21 Oct →
dust20–13-0.0321%21 Oct →
dust20–13-0.0914%20 Oct →
dust210–13-0.0312%20 Oct →
cache12–12-0.0318%20 Oct →
dust28–13-0.0615%20 Oct →
inferno11–13-0.0910%19 Oct →
dust212–12-0.0918%19 Oct →
inferno13–3-0.0211%19 Oct →
dust213–8-0.038%19 Oct →
dust213–50.0210%19 Oct →
cache12–12-0.059%18 Oct →
dust213–70.0115%18 Oct →
dust213–60.0913%18 Oct →
dust213–10-0.0316%18 Oct →
inferno13–9-0.008%17 Oct →
inferno6–13-0.0716%17 Oct →
dust27–13-0.0313%17 Oct →
anubis7–13-0.078%17 Oct →
dust210–130.0210%17 Oct →
dust29–5-0.018%17 Oct →
dust28–13-0.055%17 Oct →
inferno8–13-0.0110%16 Oct →
dust26–13-0.097%16 Oct →
dust213–40.0221%16 Oct →
dust23–130.0418%14 Oct →
dust213–5-0.0113%14 Oct →
italy7–1-0.029%14 Oct →
dust213–90.008%14 Oct →
dust213–11-0.047%14 Oct →
train11–13-0.055%13 Oct →
vertigo13–5-0.058%13 Oct →
office13–40.0210%13 Oct →
cache11–13-0.0316%13 Oct →
inferno13–30.0513%13 Oct →
inferno10–13-0.0411%12 Oct →
dust213–100.0215%12 Oct →
dust27–13-0.003%12 Oct →
office4–13-0.098%12 Oct →
overpass13–9-0.0614%12 Oct →
nuke12–12-0.078%12 Oct →
dust22–13-0.0310%12 Oct →
inferno12–12-0.056%11 Oct →
dust23–13-0.053%11 Oct →
office8–13-0.028%11 Oct →
mirage13–5-0.0211%11 Oct →
dust29–13-0.0113%11 Oct →
dust213–5-0.0716%11 Oct →
dust213–7-0.0613%11 Oct →
dust213–11-0.066%11 Oct →
dust213–50.0513%10 Oct →
ancient4–13-0.0716%10 Oct →
dust210–13-0.0413%10 Oct →
dust210–13-0.026%10 Oct →
dust213–5-0.0423%9 Oct →
shelter12–12-0.046%9 Oct →
vertigo12–12-0.058%9 Oct →
cache13–30.109%9 Oct →
mirage4–13-0.1013%9 Oct →
dust29–13-0.0316%9 Oct →
dust26–13-0.0715%9 Oct →
dust210–13-0.057%8 Oct →
cache2–13-0.046%8 Oct →
dust210–13-0.0319%8 Oct →
dust213–5-0.049%8 Oct →
dust213–00.003%8 Oct →
train3–13-0.098%8 Oct →
train13–100.0410%7 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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