DrKarrma

DrKarrma — CS2 Stats

US76561198964260955[U:1:1003995227]Steam profile ↗✓ No bans

1,752Tracked matches53%Win rate2023Tracked since
CSDB Rating5.3 DevelopingPositional Player
Premier CS Rating13,611Blue band · top ~35.8% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 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: 13,611 +759 30 Jun – 15 Oct · 26 days played
11,94313,717peak 13,71730 Jun15 Oct
14,085Peak Premier in tracked matches
30Days played since 2026-06-30

Premier CS Rating

  • 106 below peak (13,717)
  • +462 over 90 days
  • Next: Purple band at 15,000 — 1,389 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-08-29
  • Light Blue band first seen 2026-08-29

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

Share this profile

CSDB.GGDrKarrmaFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER13,611 · Blue bandcsdb.gg/stats

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Performance scores

Aim62
Positioning58
Utility38

0–100 skill scores via Leetify.

Recent form

STEADY47–51–2Last 10047%Win rateLWWWWLWLLW

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating · +2.4pp headshot accuracy · +27ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 20%
  • Avg reaction 575ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 578ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 565ms

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 Player — Positioning stands above the rest of this profile (+1 against its own average).

Aim6.2
Utility3.8
Positioning5.8
Opening Duels4.2
Clutch5.4

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

jL

Plays most like jL 89% 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

Areas to improve

Reaction time. 576ms 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

Aim6.2
Positioning5.8
Utility3.8
Mechanics5.7
Opening Duels4.8
Win Impact6.1

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time574ms+1ms
first ⅓ avg 573ms → last ⅓ avg 574ms
Headshot accuracy15.5%−1.8%
first ⅓ avg 17.3% → last ⅓ avg 15.5%

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

0.37Best match rating · 6–2 · rush_001, 15 Oct →
36%Best headshot accuracy · 7–3 · rush_001, 15 Oct →
383msFastest reaction time · 6–13 · inferno, 12 Jul →
13–2Biggest win · mirage, 4 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
9–12In matches decided by ≤2 rounds
18Overtime games

Map breakdown

nukeBest map · 88% over 8infernoWeakest map · 29% over 24
MapGradePlayedRecordWin rateAvg rating
infernoD247–1729%-0.01
mirageC145–936%-0.01
ancientB137–654%0.02
anubisC135–838%-0.03
cacheA116–555%-0.01
nukeS87–188%0.01
dust2A74–357%0.01
rush_001S64–267%0.00
vertigo—20–20%-0.00
overpass—22–0100%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 24). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

97Matches
51%Win rate
1.00Avg K/D
86.4ADR
40%Headshot %

Clutches & streaks

47%1v1 clutch win
15%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno1963%1.0416.3
Ancient1850%0.9416.6
Mirage1429%0.7714.6
Overpass1070%1.2822.2
Nuke1050%0.8815.8
Dust2729%0.9413.7
Vertigo633%1.1817.3
Cache667%0.9615.3

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.

15.1%Headshot accuracy
36.9%Accuracy (enemy spotted)
39.0%Spray accuracy
75.7%Counter-strafing
12.1°Preaim
576msReaction time
47.4%T opening success
51.3%CT opening success
0.49Enemies flashed / flash
5.5%Flash assists
13.79HE damage / grenade
3.72Flashes / 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 12.1214° — above the 12° mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4925 — below the 0.5 mark we flag

    Grenade Lineups →
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.

29% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–16-0.067%15 Oct →
rush_0017–3-0.0736%15 Oct →
rush_0016–20.3719%15 Oct →
nuke16–13-0.0422%14 Oct →
mirage16–14-0.0015%14 Oct →
rush_0016–8-0.0916%14 Oct →
rush_0018–70.0211%14 Oct →
rush_0010–4-0.1510%14 Oct →
inferno6–130.0418%12 Oct →
mirage13–90.0119%12 Oct →
anubis7–13-0.0012%12 Oct →
inferno5–13-0.0322%4 Oct →
anubis13–8-0.0714%4 Oct →
rush_0017–3-0.0815%4 Oct →
dust213–10-0.0018%4 Oct →
mirage13–20.0411%4 Oct →
cache13–3-0.019%4 Oct →
inferno9–13-0.0521%8 Aug →
vertigo9–130.0114%7 Aug →
inferno14–16-0.0712%2 Aug →
cache8–13-0.019%1 Aug →
cache12–16-0.0212%29 Jul →
inferno8–13-0.0020%27 Jul →
anubis13–8-0.105%26 Jul →
mirage11–130.0116%26 Jul →
dust213–70.0115%26 Jul →
inferno13–16-0.0316%26 Jul →
anubis7–13-0.0911%26 Jul →
nuke13–50.0710%26 Jul →
cache13–40.0218%26 Jul →
dust213–50.0918%25 Jul →
nuke16–14-0.0410%25 Jul →
anubis13–50.0330%25 Jul →
dust213–20.0819%25 Jul →
mirage16–120.0318%25 Jul →
ancient11–130.0717%25 Jul →
inferno15–150.0419%25 Jul →
inferno8–13-0.0614%25 Jul →
cache13–9-0.0030%23 Jul →
mirage11–13-0.0010%23 Jul →
mirage7–13-0.0320%21 Jul →
ancient5–130.0326%21 Jul →
inferno13–8-0.0522%21 Jul →
cache8–13-0.0213%16 Jul →
mirage3–13-0.0511%15 Jul →
nuke0–40.0317%15 Jul →
mirage4–13-0.0424%15 Jul →
cache13–9-0.0210%15 Jul →
ancient13–50.0117%15 Jul →
inferno13–10-0.0628%14 Jul →
dust22–13-0.0713%14 Jul →
anubis9–13-0.028%14 Jul →
inferno13–30.1818%13 Jul →
anubis10–130.0311%13 Jul →
ancient13–40.0012%13 Jul →
cache3–13-0.076%12 Jul →
inferno8–130.0618%12 Jul →
ancient14–16-0.0213%12 Jul →
nuke16–140.0120%12 Jul →
ancient13–20.0616%12 Jul →
inferno13–60.0611%12 Jul →
inferno6–13-0.078%12 Jul →
anubis13–7-0.0311%12 Jul →
nuke13–100.0718%12 Jul →
ancient13–50.0018%12 Jul →
mirage15–150.0422%12 Jul →
ancient10–130.0515%12 Jul →
anubis13–16-0.0012%11 Jul →
dust29–130.0113%11 Jul →
inferno10–13-0.0118%11 Jul →
inferno9–40.0127%11 Jul →
cache14–160.028%11 Jul →
nuke12–50.0118%11 Jul →
inferno11–130.0122%11 Jul →
ancient16–140.0119%10 Jul →
cache13–7-0.0114%10 Jul →
ancient13–110.0318%10 Jul →
cache16–13-0.0314%9 Jul →
mirage14–16-0.0613%9 Jul →
inferno11–13-0.0311%9 Jul →
vertigo10–13-0.0221%8 Jul →
inferno4–13-0.0221%7 Jul →
inferno4–13-0.0419%7 Jul →
inferno13–7-0.0035%6 Jul →
nuke13–11-0.0515%5 Jul →
anubis10–13-0.0516%5 Jul →
inferno9–13-0.0225%5 Jul →
inferno3–13-0.0313%4 Jul →
anubis13–11-0.016%4 Jul →
overpass16–13-0.0212%4 Jul →
mirage9–13-0.0517%4 Jul →
ancient7–130.0428%4 Jul →
mirage13–110.0321%3 Jul →
dust26–13-0.0422%3 Jul →
anubis11–13-0.0712%3 Jul →
mirage6–130.0023%3 Jul →
ancient13–70.0515%3 Jul →
overpass13–7-0.0514%1 Jul →
anubis11–130.0214%1 Jul →
inferno13–80.0219%30 Jun →

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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