Scalpel

Scalpel — CS2 Stats

CD76561198307271857[U:1:347006129]Steam profile ↗✓ No bans

666Tracked matches57%Win rate2021Tracked since
CSDB Rating5.2 DevelopingPositional Player
Premier CS Rating17,099Purple band · top ~20% of ranked players (population est.)
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Nov 2026 (9 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 666 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 17,099 -3,202 16 Nov – 5 Nov · 18 days played
17,09920,301peak 20,30116 Nov5 Nov
20,654Peak Premier in tracked matches
28Days played since 2025-11-16

Premier CS Rating

  • 3,202 below peak (20,301)
  • -426 over 30 days · declining
  • -826 over 90 days
  • Next: Pink band at 20,000 — 2,901 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-09
  • Blue band first seen 2026-09-09

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

Share this profile

CSDB.GGScalpelPREMIER17,099 · Purple bandcsdb.gg/stats

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Performance scores

Aim62
Positioning58
Utility18

0–100 skill scores via Leetify.

Recent form

STEADY48–50–2Last 10048%Win rateWWLLWLWLLL

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · +1.3pp headshot accuracy · −124ms reaction

Win rate down 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

  • 3–2 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 21%
  • Avg reaction 525ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 569ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 22%
  • Avg reaction 631ms

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 (+2.3 against its own average).

Aim6.2
Utility1.8
Positioning5.8
Opening Duels3.0

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

donk

Plays most like donk 85% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 620ms 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
Utility1.8
Mechanics5.3
Opening Duels3.9
Win Impact7.2

Composite 5.2/10 (Developing), 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-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time625ms−7ms
first ⅓ avg 632ms → last ⅓ avg 625ms
Headshot accuracy20.5%−2.5%
first ⅓ avg 23.0% → last ⅓ avg 20.5%

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

0.13Best match rating · 13–3 · dust2, 7 Feb →
50%Best headshot accuracy · 1–13 · cache, 9 Jul →
406msFastest reaction time · 13–10 · anubis, 18 Sept →
13–1Biggest win · dust2, 20 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
9–8In matches decided by ≤2 rounds
12Overtime games

Map breakdown

dust2Best map · 53% over 36mirageWeakest map · 40% over 20
MapGradePlayedRecordWin rateAvg rating
dust2B3619–1753%-0.01
mirageC208–1240%-0.01
cacheC125–742%0.00
anubisB115–645%0.00
ancientC52–340%0.01
infernoC52–340%-0.01
train—33–0100%-0.03
nuke—21–150%-0.01
boulder—21–150%0.04
overpass—20–20%-0.00
shelter—11–0100%-0.01
fachwerk—11–0100%-0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (40% over 20). Start with the 5 essential Mirage 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.

20.0%Headshot accuracy
33.6%Accuracy (enemy spotted)
35.5%Spray accuracy
73.8%Counter-strafing
9.8°Preaim
620msReaction time
51.5%T opening success
39.6%CT opening success
0.49Enemies flashed / flash
2.9%Flash assists
7.01HE damage / grenade
1.91Flashes / 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. 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 0.4895 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 39.5547% — below the 40% mark we flag

Spend your practice time on Mirage

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

40% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–50.0231%2 Nov →
cache13–100.0716%2 Nov →
dust211–13-0.0716%2 Nov →
ancient13–160.0120%27 Oct →
dust213–4-0.0525%27 Oct →
dust210–13-0.0422%7 Oct →
anubis13–100.0217%18 Sept →
dust29–13-0.0536%18 Sept →
dust23–130.0223%18 Sept →
dust29–13-0.0219%15 Aug →
nuke13–110.0447%15 Aug →
cache13–10-0.0218%15 Aug →
mirage8–13-0.0216%20 Jul →
cache13–20.0210%20 Jul →
dust213–10.0029%20 Jul →
anubis13–50.0112%20 Jul →
cache11–130.0120%19 Jul →
mirage9–130.0519%19 Jul →
boulder9–13-0.0221%11 Jul →
shelter13–4-0.0118%11 Jul →
fachwerk13–7-0.0513%11 Jul →
anubis11–13-0.028%11 Jul →
mirage13–7-0.0311%11 Jul →
dust213–8-0.0322%11 Jul →
dust213–70.0322%11 Jul →
cache9–13-0.0714%11 Jul →
mirage13–11-0.0024%11 Jul →
cache9–13-0.0419%10 Jul →
cache16–13-0.0016%10 Jul →
dust213–80.0318%10 Jul →
boulder13–100.1133%9 Jul →
cache10–130.0421%9 Jul →
anubis13–60.0321%9 Jul →
mirage8–130.0525%9 Jul →
cache1–13-0.0750%9 Jul →
dust213–50.0315%9 Jul →
mirage13–90.0316%28 Jun →
dust211–13-0.0329%24 Jun →
anubis10–13-0.0220%24 Jun →
mirage10–13-0.0125%24 Jun →
dust212–16-0.0117%23 Jun →
dust213–7-0.0513%23 Jun →
cache8–13-0.0617%23 Jun →
mirage6–130.0128%23 Jun →
inferno6–13-0.083%23 Jun →
anubis13–11-0.0420%9 May →
anubis6–13-0.068%9 May →
mirage4–13-0.0514%9 May →
cache13–100.0518%3 May →
dust213–60.0018%3 May →
cache5–130.0741%3 May →
anubis13–40.0613%7 Feb →
dust216–14-0.0236%7 Feb →
dust210–2-0.0835%7 Feb →
anubis8–13-0.0313%7 Feb →
anubis11–130.0713%7 Feb →
dust213–30.1336%7 Feb →
anubis9–13-0.0112%6 Feb →
mirage13–16-0.0222%5 Feb →
dust216–140.0237%5 Feb →
inferno13–70.0415%3 Jan →
dust213–70.1118%3 Jan →
dust23–13-0.0931%3 Jan →
dust213–70.0432%3 Jan →
ancient14–160.0319%3 Jan →
mirage13–30.0725%11 Dec →
dust24–13-0.1035%11 Dec →
inferno13–7-0.0121%5 Dec →
dust213–160.0326%5 Dec →
dust211–13-0.0212%5 Dec →
dust214–16-0.0224%5 Dec →
mirage13–80.0220%5 Dec →
ancient10–130.0016%30 Nov →
overpass15–150.0423%30 Nov →
mirage13–11-0.0319%30 Nov →
dust28–13-0.0214%29 Nov →
mirage8–13-0.0214%29 Nov →
dust213–110.0824%29 Nov →
mirage7–13-0.0114%29 Nov →
dust26–13-0.0219%25 Nov →
dust210–13-0.0721%23 Nov →
inferno10–130.0143%22 Nov →
dust213–110.1128%22 Nov →
mirage13–16-0.0424%22 Nov →
train13–7-0.0428%22 Nov →
mirage13–11-0.0028%21 Nov →
dust28–13-0.0422%21 Nov →
dust213–8-0.0125%21 Nov →
inferno15–15-0.0324%21 Nov →
mirage9–13-0.0128%21 Nov →
dust23–13-0.0850%21 Nov →
overpass9–13-0.0424%21 Nov →
dust213–60.0522%21 Nov →
mirage8–13-0.0228%16 Nov →
train13–7-0.0319%16 Nov →
ancient13–10-0.0223%16 Nov →
train13–2-0.0319%16 Nov →
mirage13–10-0.0517%16 Nov →
nuke2–13-0.0618%16 Nov →
dust213–70.0522%16 Nov →

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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