turbokristus666

turbokristus666 — CS2 Stats

BT76561198420050949[U:1:459785221]Steam profile ↗✓ No bans

377Tracked matches45%Win rate2020Tracked since
1,211Hours in CS5Hrs last 2 wks
CSDB Rating6.0 SolidPositional Player
Premier CS Rating13,342Blue band · top ~37.2% of ranked players (population est.)
FaceitLevel 1Top 100.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Nov 2026 (2 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: 13,342 -2,993 17 Jul – 12 Nov · 33 days played
10,92116,591peak 16,59117 Jul12 Nov
16,669Peak Premier in tracked matches
36Days played since 2026-07-17

Premier CS Rating

  • 3,249 below peak (16,591)
  • -879 over 30 days · declining
  • -1,898 over 90 days
  • Next: Purple band at 15,000 — 1,658 to go
  • Reached: 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.

How this compares with the same rank

Median values for Level 1 among CSDB-tracked players (n=2,367), 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 1 medianLevel 2 medianvs Level 2
Headshot rate52.2%40.9%41.3%above
Shot accuracy16.4%14.2%12.7%above
Kill/death ratio1.000.950.95above
Match win rate45.7%42.1%42.6%above

Across every metric we can compare, this profile already matches the typical Level 2 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGturbokristus666FACEITLevel 1STANDINGTop 100.0% of rankedPREMIER13,342 · Blue 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

Aim82
Positioning68
Utility23

0–100 skill scores via Leetify.

Recent form

STEADY48–48–4Last 10048%Win rateLWLLWTWLWW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · +1.9pp headshot accuracy · −95ms reaction

Win rate up 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 506ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 523ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 570ms

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).

Aim8.2
Utility2.3
Positioning6.8
Opening Duels4.5

Strong T-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

donk

Plays most like donk 82% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; 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

Strengths

T openings. 76% T opening-duel success — entries that actually open the round.

Areas to improve

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

CT openings. Opening success drops from 76% on T to 40% on CT — first contacts on the defending side are being lost.

Reaction time. 576ms 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

Aim8.2
Positioning6.8
Utility2.3
Mechanics8.2
Opening Duels6.3
Win Impact3.3

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time580ms+5ms
first ⅓ avg 575ms → last ⅓ avg 580ms
Headshot accuracy15.9%−3.6%
first ⅓ avg 19.5% → last ⅓ avg 15.9%

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

0.16Best match rating · 13–7 · ancient, 4 Oct →
34%Best headshot accuracy · 13–11 · mirage, 27 Jul →
406msFastest reaction time · 5–13 · nuke, 17 Oct →
13–1Biggest win · dust2, 8 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
7–4In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 75% over 8dust2Weakest map · 27% over 15
MapGradePlayedRecordWin rateAvg rating
mirageC2510–1540%-0.00
cacheA1710–759%0.00
dust2D154–1127%-0.02
infernoA138–562%-0.01
anubisA117–464%0.03
nukeD103–730%-0.03
ancientS86–275%0.03
office—10–10%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

27,192Lifetime kills
1.00K/D · Top 50% of Level 1 players
1,529Matches
45.7%Match win rate · Top 25% of Level 1 players
52.2%Headshot % · Top 10% of Level 1 players
16.4%Shot accuracy · Top 50% of Level 1 players
3,586MVPs
555Hours (in match)
1,264Bombs planted
191Bombs defused

Most-used weapons

Lifetime map wins

2,093dust2
1,648inferno
550cbble
549nuke
323train
294office
182vertigo
66lake

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.0%Headshot accuracy
40.0%Accuracy (enemy spotted)
38.3%Spray accuracy
86.9%Counter-strafing
9.1°Preaim
576msReaction time
76.5%T opening success
40.1%CT opening success
0.41Enemies flashed / flash
3.7%Flash assists
6.41HE damage / grenade
1.49Flashes / 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 0.4131 — below the 0.5 mark we flag

    Grenade Lineups →
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.

27% win rate across 15 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
nuke9–13-0.0518%12 Nov →
ancient13–40.0720%8 Nov →
dust26–13-0.0231%8 Nov →
mirage9–13-0.023%3 Nov →
cache13–9-0.0611%3 Nov →
cache15–150.0218%3 Nov →
anubis13–70.0222%2 Nov →
nuke9–13-0.0613%21 Oct →
mirage16–14-0.0113%20 Oct →
inferno13–90.0114%20 Oct →
ancient9–13-0.0017%18 Oct →
nuke11–13-0.0514%18 Oct →
dust210–13-0.0413%18 Oct →
cache7–13-0.0220%18 Oct →
nuke7–13-0.0021%18 Oct →
inferno13–10-0.0514%17 Oct →
cache13–30.0310%17 Oct →
nuke5–13-0.0611%17 Oct →
mirage6–13-0.0611%14 Oct →
mirage13–50.0213%14 Oct →
ancient16–14-0.019%14 Oct →
mirage13–80.0923%13 Oct →
dust212–16-0.0223%13 Oct →
cache8–13-0.0617%13 Oct →
mirage4–130.0226%12 Oct →
cache13–5-0.0216%12 Oct →
mirage13–60.0714%12 Oct →
inferno4–13-0.0821%11 Oct →
mirage2–13-0.0915%11 Oct →
dust213–10.0614%8 Oct →
cache13–9-0.0513%8 Oct →
mirage6–13-0.0610%8 Oct →
nuke13–20.0518%8 Oct →
anubis13–70.0519%8 Oct →
ancient13–11-0.0216%8 Oct →
inferno8–13-0.0017%8 Oct →
mirage15–15-0.007%7 Oct →
anubis6–130.049%7 Oct →
inferno9–00.0319%7 Oct →
nuke13–2-0.0525%7 Oct →
anubis8–13-0.0115%7 Oct →
cache13–90.0316%7 Oct →
dust211–13-0.0112%6 Oct →
inferno13–60.0424%6 Oct →
mirage8–130.009%6 Oct →
cache13–110.0524%6 Oct →
dust213–6-0.0613%6 Oct →
cache13–50.0321%5 Oct →
anubis13–70.0113%5 Oct →
inferno13–3-0.0224%5 Oct →
anubis13–100.0617%4 Oct →
ancient9–130.0315%4 Oct →
ancient13–70.1614%4 Oct →
dust213–10.1320%4 Oct →
office8–13-0.0314%3 Oct →
mirage9–13-0.079%3 Oct →
ancient13–3-0.0323%3 Oct →
anubis13–60.0922%3 Oct →
cache13–30.0415%3 Oct →
inferno13–40.0314%3 Oct →
cache13–30.0414%3 Oct →
dust29–13-0.0310%3 Oct →
cache10–13-0.0012%3 Oct →
mirage15–150.0220%30 Sept →
inferno11–13-0.039%30 Sept →
dust28–130.0216%30 Sept →
dust28–13-0.0620%29 Sept →
dust214–16-0.0316%28 Sept →
mirage3–130.0117%26 Sept →
mirage13–100.0624%2 Sept →
dust20–5-0.150%20 Aug →
inferno15–15-0.0131%13 Aug →
mirage8–13-0.0020%9 Aug →
mirage2–13-0.0733%6 Aug →
mirage2–13-0.039%6 Aug →
mirage4–13-0.104%6 Aug →
nuke13–10-0.0624%4 Aug →
ancient13–50.0226%4 Aug →
anubis4–13-0.0511%3 Aug →
dust216–13-0.0524%27 Jul →
mirage13–8-0.0621%27 Jul →
anubis13–160.0524%27 Jul →
cache6–13-0.0129%27 Jul →
mirage13–110.0434%27 Jul →
mirage13–20.0525%27 Jul →
inferno9–70.0419%27 Jul →
cache13–100.0321%23 Jul →
anubis13–90.0116%23 Jul →
cache6–130.0314%23 Jul →
mirage13–70.0320%23 Jul →
mirage10–13-0.0124%21 Jul →
dust28–13-0.0511%20 Jul →
nuke9–13-0.0928%19 Jul →
inferno5–13-0.0121%18 Jul →
mirage13–100.0517%18 Jul →
cache2–13-0.0413%18 Jul →
dust27–130.0413%17 Jul →
anubis13–50.0115%17 Jul →
inferno9–7-0.0425%17 Jul →
nuke9–130.0517%17 Jul →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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