Karma

Karma — CS2 Stats

LT76561198398353960[U:1:438088232]Steam profile ↗✓ No bans

3,285Tracked matches44%Win rate2021Tracked since
4,098Hours in CS65Hrs last 2 wks
CSDB Rating6.5 SolidOpening Duellist
Premier CS Rating25,285Top 10% of 215,386 CSDB-tracked playersRed band · top ~2.9% of ranked players (population est.)
CSDB Leaderboard#19598 of 261591 tracked
WingmanThe Global Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (11 days ago). 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: 25,285 +166 29 Aug – 3 Nov · 17 days played
22,78825,666peak 25,66629 Aug3 Nov
25,666Peak Premier in tracked matches
27Days played since 2026-08-26

Premier CS Rating

  • 381 below peak (25,666)
  • +1,314 over 30 days · improving
  • Next: Gold band at 30,000 — 4,715 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-03
  • Pink band first seen 2026-09-03

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

How this compares with the same rank

Median values for Red band among CSDB-tracked players (n=13,318), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerRed band medianGold band medianvs Gold band
Headshot rate43.4%49.3%50.9%7.6% short
Shot accuracy5.5%13.4%11.8%6.3% short
Kill/death ratio1.131.121.180.05 short
Match win rate49.8%48.5%51.9%2.1% short

This profile sits below the typical Gold band player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Gold band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGKarmaPREMIER25,285 · Red bandcsdb.gg/stats

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Performance scores

Aim68
Positioning61
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY45–45–10Last 10045%Win rateWLLLLWLWLW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · +1.2pp headshot accuracy · −5ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 489ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 554ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • 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: Opening Duellist — Winning opening duels is what stands out in this profile (+1 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.

Aim6.8
Utility5.6
Positioning6.1
Opening Duels6.7
Clutch4.4

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

device

Plays most like device 88% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

T openings. 64% T opening-duel success — entries that actually open the round.

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

Aim6.8
Positioning6.1
Utility5.6
Mechanics6.8
Opening Duels7.7
Win Impact3.1

Composite 6.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time540ms+34ms
first ⅓ avg 505ms → last ⅓ avg 540ms
Headshot accuracy17.4%−2.1%
first ⅓ avg 19.5% → last ⅓ avg 17.4%

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

0.14Best match rating · 13–9 · train, 7 Oct →
41%Best headshot accuracy · 13–3 · mirage, 15 Oct →
344msFastest reaction time · 4–13 · mirage, 27 Sept →
13–2Biggest win · dust2, 11 Nov →

Across the last 100 tracked matches.

Highlights

7Longest win streak
4–4In matches decided by ≤2 rounds
3Overtime games

Map breakdown

ancientBest map · 71% over 7nukeWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
dust2C4619–2741%-0.00
mirageB137–654%0.01
nukeD93–633%0.02
anubisC83–538%-0.00
infernoC73–443%0.00
ancientS75–271%0.02
cache—31–233%0.00
office—31–233%-0.02
train—21–150%0.02
vertigo—22–0100%0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

92,342Lifetime kills
1.13K/D · Top 50% of Red band
5,027Matches
49.8%Match win rate · Top 50% of Red band
43.4%Headshot %
5.5%Shot accuracy
12,861MVPs
1,850Hours (in match)
3,965Bombs planted
1,232Bombs defused

Most-used weapons

AK-4721,638
AWP11,500
SSG 085,324
MP93,942
MAC-103,923

Lifetime map wins

11,338dust2
7,814inferno
5,554nuke
1,798train
1,377vertigo
499office
115cbble
51italy

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

582Matches
54%Win rate
1.13Avg K/D
78.8ADR
46%Headshot %

Clutches & streaks

42%1v1 clutch win
20%1v2 clutch win
12Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage12155%0.9914.7
Anubis9346%1.1415.9
Nuke8157%1.3116.9
Inferno7762%1.1616.2
Dust27154%0.9313.8
Ancient6053%0.8515.0
Overpass4856%1.5918.6
Vertigo1362%1.4618.5

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.

16.5%Headshot accuracy
28.8%Accuracy (enemy spotted)
29.0%Spray accuracy
80.5%Counter-strafing
7.0°Preaim
518msReaction time
64.0%T opening success
57.3%CT opening success
0.62Enemies flashed / flash
8.6%Flash assists
6.68HE damage / grenade
8.68Flashes / match

Recommended for you

Spend your practice time on Nuke

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–11-0.0110%13 Nov →
dust25–13-0.0328%12 Nov →
dust27–130.0018%12 Nov →
dust24–130.0616%12 Nov →
dust23–13-0.099%12 Nov →
dust213–10-0.0221%11 Nov →
dust28–13-0.0021%11 Nov →
dust213–20.059%11 Nov →
dust26–130.0820%11 Nov →
dust213–90.0117%11 Nov →
dust213–5-0.0312%11 Nov →
dust211–13-0.0117%11 Nov →
dust21–13-0.1213%11 Nov →
dust212–120.0415%11 Nov →
dust213–40.0721%9 Nov →
dust212–12-0.0517%9 Nov →
dust21–13-0.0915%9 Nov →
dust213–70.1018%9 Nov →
dust26–13-0.049%9 Nov →
dust27–13-0.0017%9 Nov →
dust22–130.0216%9 Nov →
dust213–110.0022%9 Nov →
dust27–13-0.0022%6 Nov →
dust24–13-0.0213%6 Nov →
dust213–50.0512%6 Nov →
dust212–120.0214%6 Nov →
dust213–70.0716%6 Nov →
dust29–13-0.0721%6 Nov →
dust213–60.0418%5 Nov →
dust213–9-0.0516%5 Nov →
nuke13–90.0414%5 Nov →
nuke1–13-0.0633%5 Nov →
dust213–50.0436%5 Nov →
dust213–70.0721%3 Nov →
dust24–130.0428%3 Nov →
dust212–12-0.0422%3 Nov →
nuke8–130.0311%3 Nov →
dust213–70.0320%3 Nov →
anubis13–80.0219%3 Nov →
anubis8–13-0.0319%2 Nov →
dust210–130.0327%2 Nov →
mirage13–5-0.0124%2 Nov →
mirage8–130.0216%2 Nov →
dust213–8-0.0122%2 Nov →
anubis9–130.0113%1 Nov →
nuke4–9-0.086%30 Oct →
inferno8–8-0.0020%30 Oct →
inferno9–50.1424%30 Oct →
cache16–14-0.0326%29 Oct →
cache7–130.0219%27 Oct →
inferno10–13-0.0316%23 Oct →
nuke13–50.1219%23 Oct →
ancient13–90.0722%23 Oct →
nuke15–150.1421%23 Oct →
mirage13–3-0.0121%23 Oct →
dust23–13-0.083%23 Oct →
inferno13–8-0.0414%23 Oct →
inferno12–120.0617%20 Oct →
ancient13–20.1035%20 Oct →
ancient13–10-0.0321%20 Oct →
dust25–1-0.0214%20 Oct →
mirage13–10-0.049%20 Oct →
mirage13–70.1329%16 Oct →
ancient13–40.0618%16 Oct →
mirage13–30.0741%15 Oct →
cache8–130.0215%15 Oct →
dust211–130.0222%14 Oct →
nuke10–130.0120%14 Oct →
ancient5–13-0.0021%14 Oct →
inferno1–13-0.0521%14 Oct →
anubis13–50.0216%14 Oct →
train9–13-0.1013%7 Oct →
train13–90.1418%7 Oct →
mirage11–13-0.0724%6 Oct →
nuke5–13-0.0317%6 Oct →
mirage15–15-0.0211%1 Oct →
anubis7–130.0522%1 Oct →
nuke13–80.0430%27 Sept →
mirage4–13-0.0722%27 Sept →
vertigo13–8-0.0318%27 Sept →
vertigo13–100.0315%27 Sept →
anubis13–10-0.0419%16 Sept →
anubis12–12-0.0410%16 Sept →
anubis3–13-0.0129%16 Sept →
inferno9–4-0.0617%15 Sept →
dust213–90.0619%15 Sept →
dust211–13-0.0929%15 Sept →
dust26–13-0.0221%13 Sept →
dust24–13-0.0412%13 Sept →
dust25–130.0427%13 Sept →
office12–120.0115%3 Sept →
office2–13-0.0630%3 Sept →
office13–4-0.0026%3 Sept →
mirage4–130.0134%3 Sept →
ancient13–70.0225%29 Aug →
dust25–2-0.090%29 Aug →
mirage13–110.0518%29 Aug →
ancient3–13-0.0416%29 Aug →
mirage13–80.0522%26 Aug →
mirage6–13-0.046%26 Aug →

Match data via Leetify.

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.