Crayn

Crayn — CS2 Stats

DE76561198050065875[U:1:89800147]Steam profile ↗✓ No bans

1,411Tracked matches37%Win rate2020Tracked since
7,841Hours in CS14Hrs last 2 wks
CSDB Rating3.8 LearningSupport
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

12,999Peak Premier in tracked matches
41Days played since 2026-06-30

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches16——
Win rate50%——
K/D0.84——
Headshot %39%——

Measured 5 Sep 2026 → 3 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=10,045), 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 3 medianLevel 4 medianvs Level 4
Headshot rate42.4%41.8%42.7%meets
Shot accuracy16.9%12.2%11.3%above
Kill/death ratio1.100.980.99above
Match win rate74.3%43.3%43.9%above

Across every metric we can compare, this profile already matches the typical Level 4 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGCraynFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim32
Positioning41
Utility51

0–100 skill scores via Leetify.

Recent form

COLD47–53Last 10047%Win rateLLLWLWLWLL

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · +1.0pp headshot accuracy · +44ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 12%
  • Avg reaction 691ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 15%
  • Avg reaction 756ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 15%
  • Avg reaction 734ms

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: Support — Utility contribution stands above the rest of this profile (+1.7 against its own average).

Aim3.2
Utility5.1
Positioning4.1
Opening Duels0.9
Clutch3.4

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 64% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 711ms 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

Aim3.2
Positioning4.1
Utility5.1
Mechanics7.2
Opening Duels1.1
Win Impact0.6

Composite 3.8/10 (Learning), 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-0.06−0.04
first ⅓ avg -0.02 → last ⅓ avg -0.06
Reaction time717ms+53ms
first ⅓ avg 664ms → last ⅓ avg 717ms
Headshot accuracy16.5%+1.2%
first ⅓ avg 15.3% → last ⅓ avg 16.5%

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

0.06Best match rating · 13–8 · ancient, 17 Jul →
50%Best headshot accuracy · 13–6 · ancient, 30 Jul →
461msFastest reaction time · 5–13 · ancient, 13 Aug →
13–3Biggest win · nuke, 16 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
9–9In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 70% over 20dust2Weakest map · 29% over 17
MapGradePlayedRecordWin rateAvg rating
infernoB2814–1450%-0.04
ancientC239–1439%-0.04
nukeS2014–670%-0.03
dust2D175–1229%-0.04
cacheC52–340%-0.04
mirage—42–250%-0.00
anubis—20–20%-0.07
vertigo—11–0100%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

116,455Lifetime kills
1.10K/D · Top 50% of Level 3 players
11,470Matches
74.3%Match win rate · Top 1% of Level 3 players
42.4%Headshot % · Top 50% of Level 3 players
16.9%Shot accuracy · Top 25% of Level 3 players
21,197MVPs
2,610Hours (in match)
6,699Bombs planted
1,510Bombs defused

Most-used weapons

AK-4740,580
AWP13,808
MAC-102,873
P2502,806
Tec-92,197

Lifetime map wins

11,127dust2
10,381inferno
3,282train
3,135nuke
2,039cbble
2,005vertigo
173office
101italy

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

Faceit stats

Combat

1,528Matches
51%Win rate
1.06Avg K/D
68.0ADR
39%Headshot %

Clutches & streaks

37%1v1 clutch win
21%1v2 clutch win
12Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Inferno9745%0.8413.1
Ancient7851%0.8113.3
Anubis7455%0.9714.3
Dust27342%0.9415.4
Mirage5956%0.9114.0
Nuke4058%0.9012.7
Vertigo2446%0.9414.5
Overpass1464%1.0912.1

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.

16.2%Headshot accuracy
26.9%Accuracy (enemy spotted)
26.4%Spray accuracy
82.4%Counter-strafing
11.6°Preaim
711msReaction time
38.8%T opening success
26.1%CT opening success
0.69Enemies flashed / flash
3.8%Flash assists
10.84HE damage / grenade
6.28Flashes / 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. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 711.1311ms — above the 700ms mark we flag

    Aim Training →
  2. 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 38.8473% — below the 40% mark we flag

Spend your practice time on Dust 2

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

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno6–13-0.1119%18 Sept →
ancient10–13-0.0410%17 Sept →
ancient7–13-0.118%10 Sept →
inferno13–10-0.044%10 Sept →
ancient4–13-0.0721%6 Sept →
nuke13–70.0116%27 Aug →
nuke9–13-0.0719%24 Aug →
inferno13–11-0.0418%24 Aug →
mirage8–130.0013%23 Aug →
anubis6–13-0.0823%22 Aug →
cache13–10-0.0319%22 Aug →
ancient16–13-0.0311%22 Aug →
ancient11–13-0.0421%22 Aug →
ancient10–13-0.046%20 Aug →
ancient8–13-0.0018%17 Aug →
inferno4–13-0.106%17 Aug →
nuke7–13-0.0718%17 Aug →
vertigo13–8-0.036%17 Aug →
inferno13–7-0.0414%16 Aug →
ancient19–16-0.0223%16 Aug →
nuke13–11-0.0217%16 Aug →
ancient13–16-0.0715%16 Aug →
inferno16–12-0.0723%16 Aug →
cache9–13-0.0929%15 Aug →
ancient5–13-0.0813%13 Aug →
nuke5–13-0.1111%13 Aug →
inferno11–13-0.0716%13 Aug →
ancient19–17-0.0817%11 Aug →
dust28–13-0.0616%5 Aug →
ancient0–13-0.0636%5 Aug →
nuke5–13-0.1318%3 Aug →
ancient5–13-0.0917%1 Aug →
ancient1–4-0.0225%31 Jul →
anubis7–13-0.0612%31 Jul →
nuke13–7-0.0222%31 Jul →
nuke13–11-0.0221%31 Jul →
ancient13–6-0.0550%30 Jul →
nuke13–90.0415%30 Jul →
ancient7–13-0.0512%30 Jul →
inferno11–13-0.0318%28 Jul →
inferno13–70.0213%28 Jul →
dust213–7-0.0511%27 Jul →
inferno9–130.019%27 Jul →
mirage13–70.0118%27 Jul →
mirage11–13-0.0611%27 Jul →
ancient13–9-0.0112%26 Jul →
dust213–100.0126%26 Jul →
nuke4–13-0.089%25 Jul →
inferno13–80.0015%25 Jul →
nuke13–10-0.0623%24 Jul →
dust23–13-0.0620%24 Jul →
inferno3–13-0.084%24 Jul →
inferno10–13-0.0819%24 Jul →
nuke13–7-0.0612%24 Jul →
inferno10–13-0.0723%24 Jul →
dust211–13-0.0314%19 Jul →
inferno10–13-0.0616%18 Jul →
nuke13–8-0.0310%18 Jul →
inferno11–13-0.0512%18 Jul →
inferno13–11-0.0413%17 Jul →
ancient13–80.0613%17 Jul →
nuke13–30.0014%16 Jul →
inferno13–100.0111%16 Jul →
dust29–13-0.1213%16 Jul →
dust29–13-0.0214%15 Jul →
inferno13–9-0.0415%15 Jul →
inferno13–60.038%15 Jul →
dust217–190.0213%13 Jul →
ancient16–130.0414%13 Jul →
inferno5–13-0.0621%11 Jul →
ancient13–10-0.088%10 Jul →
inferno13–7-0.0519%10 Jul →
dust210–13-0.0817%10 Jul →
nuke13–8-0.0121%9 Jul →
inferno12–16-0.087%9 Jul →
dust216–14-0.039%8 Jul →
dust213–11-0.0714%8 Jul →
cache9–13-0.0714%8 Jul →
nuke13–50.0513%7 Jul →
nuke4–13-0.0416%6 Jul →
nuke13–70.0516%6 Jul →
dust210–13-0.098%6 Jul →
inferno13–30.010%6 Jul →
cache11–13-0.0015%6 Jul →
dust27–13-0.0314%6 Jul →
nuke13–11-0.0013%5 Jul →
cache13–7-0.0023%5 Jul →
dust24–13-0.0011%4 Jul →
mirage16–120.039%4 Jul →
inferno6–13-0.0521%3 Jul →
dust29–13-0.0714%3 Jul →
ancient3–130.0025%3 Jul →
dust27–13-0.0319%3 Jul →
dust213–110.0222%3 Jul →
nuke13–5-0.0310%3 Jul →
inferno13–50.0521%2 Jul →
inferno13–9-0.0313%2 Jul →
ancient14–16-0.0313%30 Jun →
inferno6–13-0.0730%30 Jun →
ancient13–100.0121%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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