Data-Kriss

Data-Kriss — CS2 Stats

76561197965022797[U:1:4757069]Steam profile ↗✓ No bans

973Tracked matches43%Win rate2020Tracked since
CSDB Rating4.4 DevelopingClutch Specialist
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Sep 2026 (21 days ago). Ranks are recorded once per day this page is viewed.

+5Tracked matches · now 973
+10.0ppWin rate · 33.3% → 43.3%

Rating over time

36Days played since 2026-02-20

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim39
Positioning55
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY41–59Last 10041%Win rateLWWLWLWLLL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −1.0pp headshot accuracy · +52ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 688ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 679ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 653ms

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 Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.8 against its own average).

Aim3.9
Utility4.5
Positioning5.5
Opening Duels3.1
Clutch6.8

Strong CT-side openerLimited 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 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

T-side openings. Opening success drops from 53% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 679ms 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

Aim3.9
Positioning5.5
Utility4.5
Mechanics6.1
Opening Duels2.9
Win Impact2.8

Composite 4.4/10 (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-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time692ms−33ms
first ⅓ avg 725ms → last ⅓ avg 692ms
Headshot accuracy16.9%+1.5%
first ⅓ avg 15.3% → last ⅓ avg 16.9%

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

0.11Best match rating · 13–7 · cache_b, 10 Apr →
30%Best headshot accuracy · 3–13 · dust2, 2 Apr →
492msFastest reaction time · 13–11 · dust2, 8 May →
13–0Biggest win · dust2, 6 Mar →

Across the last 100 tracked matches.

Highlights

5Longest win streak
9–6In matches decided by ≤2 rounds
11Overtime games

Map breakdown

dust2Best map · 53% over 19mirageWeakest map · 0% over 10
MapGradePlayedRecordWin rateAvg rating
nukeD267–1927%-0.00
dust2B1910–953%-0.02
infernoB158–753%-0.01
ancientB126–650%-0.03
mirageD100–100%-0.05
anubisC73–443%-0.02
cache_bC52–340%0.02
cache—44–0100%-0.01
overpass—11–0100%-0.00
vertigo—10–10%-0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (0% over 10). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

75Matches
49%Win rate
0.81Avg K/D
74.3ADR
43%Headshot %

Clutches & streaks

54%1v1 clutch win
10%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno560%0.8812.4
Nuke560%1.0814.0
Dust2425%0.9716.0
Mirage250%0.5810.0
Ancient2100%1.1815.0
Overpass20%1.1017.5
Train1100%1.5015.0
Vertigo10%0.7311.0

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.

17.4%Headshot accuracy
27.9%Accuracy (enemy spotted)
27.3%Spray accuracy
77.3%Counter-strafing
10.3°Preaim
679msReaction time
23.8%T opening success
53.3%CT opening success
0.52Enemies flashed / flash
3.7%Flash assists
9.62HE damage / grenade
4.61Flashes / 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

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 23.8438% — 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.

0% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis10–13-0.0819%13 Sept →
ancient13–100.0111%13 Sept →
dust213–11-0.0117%12 Sept →
nuke10–13-0.0316%11 Sept →
inferno13–80.1030%11 Sept →
dust27–13-0.0518%21 Aug →
inferno13–110.0211%21 Aug →
dust28–13-0.0419%21 Aug →
nuke6–130.0113%17 Aug →
nuke11–13-0.0224%14 Aug →
ancient13–70.0411%14 Aug →
nuke8–130.0216%14 Aug →
inferno5–13-0.0421%14 Aug →
dust213–11-0.0116%11 Aug →
nuke9–130.0224%11 Aug →
dust213–2-0.0018%8 Aug →
cache13–9-0.0424%8 Aug →
ancient8–13-0.0224%7 Aug →
mirage7–13-0.0211%7 Aug →
cache13–60.0924%6 Aug →
mirage2–13-0.0711%6 Aug →
inferno7–13-0.0619%6 Aug →
ancient4–13-0.0721%5 Aug →
nuke9–13-0.0415%3 Jul →
nuke13–100.0012%19 Jun →
dust213–6-0.0311%19 Jun →
inferno5–9-0.0211%19 Jun →
overpass19–16-0.0019%12 Jun →
nuke6–13-0.0017%12 Jun →
nuke13–90.0017%12 Jun →
dust211–13-0.0413%22 May →
inferno12–16-0.0611%22 May →
nuke11–13-0.0214%22 May →
inferno9–13-0.038%15 May →
nuke10–13-0.0019%13 May →
dust27–13-0.0313%13 May →
ancient13–4-0.0312%13 May →
cache13–9-0.0213%13 May →
nuke4–13-0.0517%8 May →
anubis13–7-0.055%8 May →
ancient16–13-0.0011%8 May →
nuke8–130.037%8 May →
dust213–110.0214%8 May →
cache13–4-0.0516%5 May →
inferno13–100.0713%27 Apr →
nuke13–60.0122%24 Apr →
anubis10–13-0.0617%24 Apr →
inferno13–4-0.0120%24 Apr →
nuke14–160.0012%24 Apr →
nuke9–130.0014%18 Apr →
ancient13–11-0.027%17 Apr →
dust23–13-0.1023%17 Apr →
nuke10–13-0.0211%17 Apr →
ancient14–16-0.0118%16 Apr →
mirage3–13-0.046%13 Apr →
dust21–13-0.0921%10 Apr →
inferno13–100.0516%10 Apr →
cache_b13–70.1122%10 Apr →
ancient13–11-0.0615%10 Apr →
anubis13–40.0419%10 Apr →
dust213–50.0421%10 Apr →
mirage2–13-0.0613%5 Apr →
ancient8–13-0.0213%5 Apr →
dust213–11-0.0119%5 Apr →
nuke13–100.0523%5 Apr →
cache_b8–13-0.0314%5 Apr →
mirage14–16-0.0223%5 Apr →
nuke13–20.0520%5 Apr →
dust23–13-0.0330%2 Apr →
mirage7–13-0.0311%2 Apr →
nuke3–13-0.0219%2 Apr →
inferno13–11-0.0413%2 Apr →
vertigo6–13-0.0515%1 Apr →
anubis3–130.028%1 Apr →
inferno4–13-0.0513%1 Apr →
nuke16–13-0.0011%1 Apr →
ancient4–13-0.108%1 Apr →
mirage8–13-0.0426%28 Mar →
dust210–130.0027%28 Mar →
mirage6–13-0.1015%28 Mar →
nuke9–13-0.0416%20 Mar →
cache_b16–14-0.0211%20 Mar →
dust216–130.0419%20 Mar →
mirage19–22-0.0418%20 Mar →
nuke5–13-0.0614%20 Mar →
ancient2–13-0.078%20 Mar →
dust28–13-0.0317%10 Mar →
anubis7–13-0.058%10 Mar →
nuke7–13-0.0217%10 Mar →
inferno16–13-0.0015%6 Mar →
dust213–00.0122%6 Mar →
inferno13–20.0417%6 Mar →
cache_b6–130.058%6 Mar →
dust213–3-0.0417%1 Mar →
mirage6–13-0.0614%25 Feb →
nuke8–13-0.0419%25 Feb →
inferno4–13-0.0517%25 Feb →
anubis13–20.0318%20 Feb →
nuke13–10.049%20 Feb →
cache_b10–13-0.026%20 Feb →

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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