Karma

Karma — CS2 Stats

AT76561198157221356[U:1:196955628]Steam profile ↗✓ No bans

805Tracked matches64%Win rate2020Tracked since
CSDB Rating7.7 StrongAll-Rounder
Premier CS Rating21,349Top 50% of 212,133 CSDB-tracked playersPink band · top ~7% of ranked players (population est.)
CSDB Leaderboard#65172 of 258973 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 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: 21,349 +192 5 Aug – 30 Oct · 20 days played
18,63021,498peak 21,4985 Aug30 Oct
21,859Peak Premier in tracked matches
25Days played since 2025-08-05

Premier CS Rating

  • 149 below peak (21,498)
  • Next: Red band at 25,000 — 3,651 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGKarmaPREMIER21,349 · Pink bandcsdb.gg/stats

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Performance scores

Aim75
Positioning71
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY48–49–3Last 10048%Win rateLWWWTLWLWW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · −1.4pp headshot accuracy · −67ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–1–1 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 26%
  • Avg reaction 528ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 522ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 556ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim7.5
Utility6.3
Positioning7.1
Opening Duels6.4

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

Twistzz

Plays most like Twistzz 84% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: 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

Strengths

CT openings. 60% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 62% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 558ms 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

Aim7.5
Positioning7.1
Utility6.3
Mechanics7.5
Opening Duels7.8
Win Impact9.8

Composite 7.7/10 (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 rating0.00+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time560ms−42ms
first ⅓ avg 602ms → last ⅓ avg 560ms
Headshot accuracy21.7%−1.4%
first ⅓ avg 23.1% → last ⅓ avg 21.7%

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, 11 Oct →
39%Best headshot accuracy · 4–13 · dust2, 23 Oct →
438msFastest reaction time · 13–5 · inferno, 22 Oct →
13–2Biggest win · inferno, 29 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
14–5In matches decided by ≤2 rounds
14Overtime games

Map breakdown

dust2Best map · 69% over 16ancientWeakest map · 17% over 12
MapGradePlayedRecordWin rateAvg rating
infernoC2511–1444%0.01
cacheA2214–864%0.00
dust2S1611–569%0.00
ancientD122–1017%-0.02
anubisA95–456%0.02
nukeD82–625%-0.01
mirageD61–517%-0.04
overpass—22–0100%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

572Matches
51%Win rate
0.99Avg K/D
—ADR
46%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
8Longest win streak

Recent Faceit resultsWLLWW

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.

21.7%Headshot accuracy
32.2%Accuracy (enemy spotted)
33.9%Spray accuracy
83.7%Counter-strafing
9.3°Preaim
558msReaction time
61.9%T opening success
60.2%CT opening success
0.52Enemies flashed / flash
8.8%Flash assists
13.08HE damage / grenade
9.73Flashes / match

Recommended for you

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.

17% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno10–13-0.0433%30 Oct →
anubis13–100.0119%30 Oct →
inferno13–20.0529%29 Oct →
cache13–80.0027%29 Oct →
inferno15–15-0.0121%28 Oct →
anubis11–130.0316%28 Oct →
dust213–50.0614%28 Oct →
ancient7–130.0331%28 Oct →
dust213–7-0.0115%27 Oct →
anubis16–130.0117%27 Oct →
anubis15–15-0.0224%27 Oct →
cache13–10-0.0226%23 Oct →
nuke10–13-0.0315%23 Oct →
cache13–11-0.0021%23 Oct →
dust24–13-0.0422%23 Oct →
dust24–13-0.0439%23 Oct →
inferno13–50.0519%22 Oct →
inferno10–130.0422%22 Oct →
dust29–13-0.0426%22 Oct →
cache13–90.1323%22 Oct →
dust213–8-0.0718%22 Oct →
mirage9–13-0.0520%19 Oct →
cache16–140.0426%19 Oct →
ancient16–13-0.0218%19 Oct →
ancient7–130.0220%18 Oct →
inferno13–60.0419%18 Oct →
dust213–11-0.0026%18 Oct →
cache16–140.0214%18 Oct →
dust213–4-0.0611%16 Oct →
cache13–110.0226%16 Oct →
nuke10–13-0.0215%16 Oct →
inferno13–70.0423%16 Oct →
cache10–13-0.0323%16 Oct →
cache10–130.0221%16 Oct →
anubis7–130.0227%14 Oct →
inferno2–13-0.0813%14 Oct →
dust216–14-0.0213%13 Oct →
cache9–13-0.0313%13 Oct →
dust210–130.1015%12 Oct →
cache13–110.0424%12 Oct →
cache16–140.0421%12 Oct →
dust213–110.0319%12 Oct →
cache13–160.0029%12 Oct →
inferno13–100.1123%12 Oct →
mirage13–16-0.0221%11 Oct →
cache13–30.0328%11 Oct →
cache13–70.0129%11 Oct →
anubis13–70.0327%11 Oct →
dust213–30.1923%11 Oct →
inferno11–13-0.0327%11 Oct →
dust213–80.0620%11 Oct →
mirage6–13-0.1131%11 Oct →
ancient10–13-0.0819%10 Oct →
cache13–7-0.0124%10 Oct →
dust213–11-0.0318%10 Oct →
inferno14–16-0.0317%10 Oct →
dust213–6-0.0531%7 Oct →
cache5–13-0.0622%7 Oct →
inferno8–130.0116%7 Oct →
dust213–16-0.0219%7 Oct →
ancient9–13-0.0122%6 Oct →
cache7–13-0.0523%6 Oct →
nuke13–11-0.0136%6 Oct →
cache4–13-0.0733%6 Oct →
inferno4–13-0.029%6 Oct →
ancient6–13-0.0510%5 Oct →
inferno10–130.0324%5 Oct →
anubis13–6-0.038%5 Oct →
anubis10–13-0.0019%5 Oct →
cache9–13-0.0832%5 Oct →
nuke15–15-0.0028%1 Oct →
mirage11–13-0.0418%1 Oct →
mirage13–11-0.0236%1 Oct →
inferno13–11-0.0119%1 Oct →
cache13–50.0233%1 Oct →
cache13–90.0127%25 Sept →
nuke13–90.0327%25 Sept →
inferno9–130.0223%25 Sept →
anubis13–40.1024%15 Sept →
inferno9–13-0.0422%15 Sept →
nuke6–130.0227%15 Sept →
overpass13–8-0.0129%10 Sept →
nuke6–13-0.0713%10 Sept →
inferno13–40.1036%10 Sept →
ancient6–13-0.0318%10 Sept →
ancient9–13-0.0128%10 Sept →
inferno10–13-0.0328%10 Aug →
inferno10–130.0218%10 Aug →
inferno13–60.0521%7 Aug →
inferno13–30.0433%7 Aug →
ancient11–130.0420%7 Aug →
ancient5–13-0.0820%7 Aug →
ancient12–16-0.0222%6 Aug →
ancient13–100.0011%6 Aug →
inferno13–11-0.0116%6 Aug →
inferno9–13-0.0333%6 Aug →
mirage9–13-0.0114%6 Aug →
overpass13–50.0814%5 Aug →
nuke9–130.0228%5 Aug →
inferno13–80.0217%5 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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