krimmic

krimmic — CS2 Stats

76561198072312245[U:1:112046517]Steam profile ↗✓ No bans

885Tracked matches58%Win rate2020Tracked since
3,735Hours in CS2Hrs last 2 wks
CSDB Rating8.0 StrongAll-Rounder
Premier CS Rating20,527Top 50% of 215,386 CSDB-tracked playersPink band · top ~7.9% of ranked players (population est.)
CSDB Leaderboard#77080 of 261577 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 2026 (19 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: 20,527 -1,624 8 Aug – 26 Oct · 16 days played
20,49522,621peak 22,6218 Aug26 Oct
22,621Peak Premier in tracked matches
40Days played since 2026-08-08

Premier CS Rating

  • 2,094 below peak (22,621)
  • +32 over 30 days · steady
  • -1,624 over 90 days
  • Next: Red band at 25,000 — 4,473 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.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=14,283), 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 playerLevel 5 medianLevel 6 medianvs Level 6
Headshot rate45.6%43.8%44.8%meets
Shot accuracy18.1%12.0%12.4%above
Kill/death ratio1.291.021.03above
Match win rate37.8%44.7%45.2%7.4% short

This profile matches the typical Level 6 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGkrimmicFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER20,527 · Pink bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim88
Positioning68
Utility71

0–100 skill scores via Leetify.

Recent form

STEADY50–40–10Last 10050%Win rateLLWWLWLWTT

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +0.9pp headshot accuracy · +76ms reaction

Win rate 0pp 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

  • 2–3 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 19%
  • Avg reaction 514ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 21%
  • Avg reaction 508ms

Last 20

  • 8–9–3 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 21%
  • Avg reaction 470ms

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.

Aim8.8
Utility7.1
Positioning6.8
Opening Duels5.3

Sharp aimerStrong CT-side opener

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

ZywOo

Plays most like ZywOo 93% playstyle similarity

Most alike: positioning profile, 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

Strengths

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

CT openings. 64% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 63% 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

Aim8.8
Positioning6.8
Utility7.1
Mechanics7.7
Opening Duels8.4
Win Impact7.6

Composite 8.0/10 (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 rating0.04+0.01
first ⅓ avg 0.03 → last ⅓ avg 0.04
Reaction time491ms−109ms
first ⅓ avg 600ms → last ⅓ avg 491ms
Headshot accuracy20.6%−5.2%
first ⅓ avg 25.8% → last ⅓ avg 20.6%

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

0.16Best match rating · 13–1 · dust2, 14 Aug →
50%Best headshot accuracy · 13–4 · train, 21 Sept →
391msFastest reaction time · 13–4 · train, 21 Sept →
13–0Biggest win · train, 16 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
2–9In matches decided by ≤2 rounds
1Overtime games

Map breakdown

trainBest map · 75% over 8anubisWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
infernoC156–940%0.03
cacheS128–467%0.01
ancientC104–640%0.02
mirageA95–456%0.04
trainS86–275%0.05
boulderA85–363%0.01
overpassA74–357%0.03
anubisD72–529%0.02
nukeD62–433%0.04
dust2A53–260%0.04
fachwerkA53–260%0.07
vertigo—30–30%0.02
office—31–233%0.03
italy—10–10%0.02
shelter—11–0100%0.07

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

156,653Lifetime kills
1.29K/D · Top 25% of Level 5 players
6,171Matches
37.8%Match win rate
45.6%Headshot % · Top 50% of Level 5 players
18.1%Shot accuracy · Top 10% of Level 5 players
12,485MVPs
2,500Hours (in match)
5,337Bombs planted
1,613Bombs defused

Most-used weapons

AK-4752,289
AWP23,419
P2505,299
Knife2,734
Tec-92,644
P902,600

Lifetime map wins

8,014inferno
6,595dust2
2,466train
1,788nuke
937cbble
824vertigo
332office
225ar_shoots

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

Faceit stats

Combat

261Matches
56%Win rate
1.51Avg K/D
—ADR
37%Headshot %

Clutches & streaks

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

Recent Faceit resultsLWWWW

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.

21.2%Headshot accuracy
37.8%Accuracy (enemy spotted)
42.9%Spray accuracy
84.6%Counter-strafing
9.7°Preaim
509msReaction time
63.2%T opening success
63.7%CT opening success
0.69Enemies flashed / flash
9.2%Flash assists
9.14HE damage / grenade
10.94Flashes / match

Recommended for you

Spend your practice time on Anubis

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 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno6–13-0.0120%1 Nov →
ancient5–13-0.0617%1 Nov →
train13–70.0718%26 Oct →
mirage13–70.1220%26 Oct →
vertigo11–130.0420%24 Oct →
overpass13–30.0314%24 Oct →
inferno9–13-0.0232%23 Oct →
cache13–70.0722%23 Oct →
inferno12–120.0724%22 Sept →
anubis12–120.0323%22 Sept →
train13–40.1450%21 Sept →
dust213–40.1140%21 Sept →
cache0–50.000%20 Sept →
cache5–13-0.0231%20 Sept →
boulder8–130.0215%20 Sept →
ancient12–120.1117%19 Sept →
anubis6–13-0.025%19 Sept →
italy10–130.029%18 Sept →
boulder13–90.0515%17 Sept →
train13–00.0620%16 Sept →
ancient13–100.0317%16 Sept →
vertigo3–130.0226%15 Sept →
boulder13–90.0027%14 Sept →
nuke10–13-0.0523%14 Sept →
mirage13–40.1020%13 Sept →
inferno13–110.1035%13 Sept →
overpass13–70.0110%13 Sept →
cache13–7-0.0522%9 Sept →
mirage13–20.0818%9 Sept →
office12–120.0211%8 Sept →
nuke7–90.0820%8 Sept →
inferno2–90.0318%8 Sept →
inferno13–100.0422%7 Sept →
fachwerk13–70.0731%7 Sept →
cache5–130.0329%7 Sept →
overpass11–130.0413%6 Sept →
ancient12–120.039%6 Sept →
dust22–13-0.0918%6 Sept →
nuke13–80.0815%5 Sept →
inferno9–13-0.0318%3 Sept →
office13–100.0119%3 Sept →
train11–130.1022%31 Aug →
inferno6–13-0.0028%31 Aug →
anubis10–130.0222%30 Aug →
cache13–100.0034%30 Aug →
fachwerk12–120.1233%29 Aug →
ancient16–140.0625%29 Aug →
overpass13–20.0211%28 Aug →
cache11–130.0122%28 Aug →
nuke13–40.0730%28 Aug →
mirage6–13-0.0224%28 Aug →
anubis8–13-0.0027%28 Aug →
inferno13–60.0928%28 Aug →
vertigo12–120.0021%27 Aug →
ancient13–60.0014%27 Aug →
boulder12–12-0.0222%26 Aug →
mirage13–90.0730%26 Aug →
ancient11–130.0220%25 Aug →
train3–13-0.0635%25 Aug →
inferno12–120.0623%24 Aug →
ancient9–10-0.0424%24 Aug →
train13–70.0115%24 Aug →
overpass13–20.0621%23 Aug →
mirage7–130.0127%23 Aug →
inferno11–20.0610%23 Aug →
boulder13–90.0315%23 Aug →
cache13–80.0320%22 Aug →
mirage13–50.0012%22 Aug →
fachwerk13–40.0835%21 Aug →
office9–130.0535%21 Aug →
ancient11–130.0026%21 Aug →
overpass4–130.0232%21 Aug →
cache13–3-0.018%21 Aug →
anubis13–80.0719%21 Aug →
inferno5–13-0.0116%21 Aug →
cache13–20.0120%19 Aug →
train13–90.0425%19 Aug →
boulder13–50.0923%18 Aug →
dust21–40.0210%18 Aug →
fachwerk13–30.1029%18 Aug →
ancient13–30.0830%18 Aug →
mirage5–13-0.0135%18 Aug →
nuke6–130.0835%17 Aug →
train13–30.0816%16 Aug →
anubis7–13-0.0231%16 Aug →
cache13–20.0632%16 Aug →
overpass4–13-0.0022%15 Aug →
boulder2–13-0.0510%15 Aug →
dust213–10.1638%14 Aug →
inferno13–70.0230%14 Aug →
nuke12–120.0039%10 Aug →
inferno13–100.0031%10 Aug →
mirage8–130.0226%9 Aug →
anubis13–40.0820%9 Aug →
inferno11–13-0.0224%9 Aug →
fachwerk10–13-0.0333%8 Aug →
dust213–9-0.0234%8 Aug →
shelter9–60.0741%8 Aug →
boulder13–9-0.0225%8 Aug →
cache13–80.0010%8 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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