Pim de Keysergracht

Pim de Keysergracht — CS2 Stats

DK76561199497041941[U:1:1536776213]Steam profile ↗✓ No bans

3,415Tracked matches41%Win rate2023Tracked since
CSDB Rating3.5 LearningClutch Specialist
Premier CS Rating4,633Grey band · top ~80.4% 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 21 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−35Premier CS Rating · 4,668 → 4,633
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 25 days played since 14 Aug 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 4,633 +1,241 14 Aug22 Sept · 25 days played
3,3704,668peak 4,66814 Aug22 Sept
4,895Peak Premier in tracked matches
25Days played since 2026-08-14

Premier CS Rating

  • 35 below peak (4,668)
  • +750 over 30 days · improving
  • Next: Light Blue band at 5,000 367 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.GGPim de KeysergrachtFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER4,633 · Grey bandcsdb.gg/stats

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Performance scores

Aim39
Positioning53
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY44551Last 10044%Win rateLLWWWTLWLL

Last 10 vs previous 10: −20pp win rate · +0.02 avg rating · −3.7pp headshot accuracy · +20ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 32 · 60% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 13%
  • Avg reaction 561ms

Last 10

  • 451 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 600ms

Last 20

  • 1091 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 590ms

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: Clutch SpecialistLate-round 1vX conversion stands above the rest of this profile (+1.5 against its own average).

Aim3.9
Utility4.9
Positioning5.3
Opening Duels1.8
Clutch6.0

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

NiKo

Plays most like NiKo 68% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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. 565ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 62% 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

Aim3.9
Positioning5.3
Utility4.9
Mechanics2.7
Opening Duels2.8
Win Impact2.1

Composite 3.5/10 (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 rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time572ms−14ms
first ⅓ avg 587ms → last ⅓ avg 572ms
Headshot accuracy14.5%+1.0%
first ⅓ avg 13.5% → last ⅓ avg 14.5%

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

0.15Best match rating · 13–5 · inferno, 21 Sept
32%Best headshot accuracy · 9–3 · nuke, 19 Sept
453msFastest reaction time · 13–7 · inferno, 19 Sept
13–0Biggest win · inferno, 10 Sept

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
812In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 68% over 22mirageWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
nukeS2215768%0.01
infernoD2261627%0.01
ancientA1912763%0.03
anubisD123925%0.00
dust2C83538%0.00
mirageD81713%-0.00
cacheB84450%0.02
train1010%0.10

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

5Matches
20%Win rate
0.87Avg K/D
69.9ADR
46%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Train20%0.9216.5
Vertigo10%1.3925.0
Inferno1100%0.8012.0
Ancient10%0.315.0

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.

13.8%Headshot accuracy
33.6%Accuracy (enemy spotted)
36.4%Spray accuracy
62.4%Counter-strafing
13.5°Preaim
565msReaction time
46.1%T opening success
36.4%CT opening success
0.44Enemies flashed / flash
5.3%Flash assists
7.80HE damage / grenade
6.53Flashes / 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 13.536° — 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 13.8419% — below the 15% mark we flag

    Aim Training
  3. 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 0.4351 — below the 0.5 mark we flag

    Grenade Lineups
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.

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke10–130.0312%22 Sept
dust24–13-0.015%22 Sept
anubis13–40.0617%22 Sept
inferno13–110.1019%21 Sept
inferno13–50.1513%21 Sept
mirage15–150.0511%21 Sept
mirage8–13-0.074%21 Sept
nuke13–110.018%21 Sept
inferno4–13-0.0517%20 Sept
cache4–13-0.0129%19 Sept
dust216–13-0.0310%19 Sept
anubis13–50.0813%19 Sept
nuke13–20.0421%19 Sept
nuke9–30.1332%19 Sept
inferno13–7-0.0113%19 Sept
anubis6–13-0.0810%19 Sept
ancient4–13-0.0311%19 Sept
anubis5–13-0.0722%19 Sept
ancient8–130.1120%19 Sept
ancient13–11-0.0419%18 Sept
inferno9–13-0.009%17 Sept
cache11–130.059%17 Sept
inferno14–160.0414%17 Sept
nuke13–11-0.0016%17 Sept
mirage8–130.0216%15 Sept
nuke9–13-0.0013%15 Sept
anubis7–13-0.0112%15 Sept
inferno13–10-0.0320%15 Sept
anubis11–130.0114%15 Sept
nuke13–100.0814%15 Sept
dust211–130.0110%15 Sept
ancient13–90.0513%14 Sept
inferno8–13-0.0511%14 Sept
dust213–60.0310%14 Sept
cache8–130.0314%14 Sept
nuke9–6-0.0710%14 Sept
ancient13–110.027%12 Sept
train6–130.1014%12 Sept
ancient13–40.016%12 Sept
ancient13–2-0.008%12 Sept
inferno11–130.0012%12 Sept
mirage8–13-0.0311%12 Sept
nuke13–16-0.009%12 Sept
inferno3–130.018%12 Sept
anubis8–13-0.033%11 Sept
inferno13–10-0.048%11 Sept
dust25–130.0017%11 Sept
nuke13–90.068%11 Sept
anubis6–13-0.046%11 Sept
ancient13–50.0618%11 Sept
mirage9–13-0.017%11 Sept
ancient6–13-0.0410%10 Sept
anubis13–60.0515%10 Sept
mirage5–13-0.007%10 Sept
nuke13–40.0416%10 Sept
nuke13–6-0.015%10 Sept
inferno13–00.0822%10 Sept
inferno12–160.0511%10 Sept
mirage13–50.0215%10 Sept
ancient11–13-0.0419%8 Sept
dust213–60.0514%8 Sept
mirage10–130.0014%6 Sept
inferno6–130.0215%4 Sept
dust26–130.038%4 Sept
cache13–110.0418%4 Sept
nuke13–10-0.015%3 Sept
nuke13–100.0016%3 Sept
ancient13–10.1013%2 Sept
anubis11–130.007%2 Sept
ancient9–13-0.0511%1 Sept
cache11–13-0.0417%1 Sept
nuke13–4-0.0214%1 Sept
ancient13–90.0612%29 Aug
nuke14–16-0.0010%29 Aug
inferno13–16-0.0011%27 Aug
nuke11–130.008%27 Aug
ancient13–110.0618%25 Aug
ancient12–160.0512%25 Aug
inferno9–13-0.0614%24 Aug
ancient7–13-0.0120%24 Aug
cache13–110.0810%24 Aug
inferno11–130.038%24 Aug
inferno11–130.0218%22 Aug
inferno4–13-0.0512%22 Aug
ancient13–80.0714%22 Aug
nuke13–70.0830%22 Aug
inferno5–13-0.0113%22 Aug
anubis13–160.0114%22 Aug
ancient13–70.1317%22 Aug
cache13–70.039%22 Aug
ancient13–40.0920%22 Aug
nuke13–5-0.027%22 Aug
nuke3–9-0.168%22 Aug
nuke6–13-0.0416%20 Aug
inferno10–13-0.0018%20 Aug
cache13–80.0111%20 Aug
nuke13–40.0518%18 Aug
anubis10–130.0813%18 Aug
inferno7–13-0.0713%14 Aug
dust27–13-0.069%14 Aug

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 →