GDL_Scientist科学家

GDL_Scientist科学家 — CS2 Stats

US76561199853252460[U:1:1892986732]Steam profile ↗

720Tracked matches34%Win rate2025Tracked since
1,035Hours in CS18Hrs last 2 wks
CSDB Rating3.4 Learning
Premier CS Rating13,742Blue band · top ~35.1% of ranked players (population est.)
CSDB Leaderboard#8464 of 12453 tracked
FaceitLevel 3 · 778 ELOTop 90.6% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

13,742Peak Premier on CSDB
778Peak Faceit ELO on CSDB
1Days observed since 2026-08-28

Faceit ELO

  • At peak — 778
  • Next: Level 4 at 901 123 to go
  • Reached: Level 3 · Level 2
  • Level 3 first seen 2026-08-28
  • Level 2 first seen 2026-08-28

Premier CS Rating

  • At peak — 13,742
  • Next: Purple band at 15,000 1,258 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-08-28
  • Light Blue band first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

Share this profile

CSDB.GGGDL_Scientist科学家FACEITLevel 3 · 778 ELOSTANDINGTop 90.6% of rankedPREMIER13,742 · Blue bandPEAK ELO778csdb.gg/stats

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Performance scores

Aim46
Positioning34
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY47503Last 10047%Win rateLLLLWLWWWW

Last 10 vs previous 10: +30pp win rate · -0.00 avg rating

Player DNA

Aim4.6
Aggression2.6
Utility6.2
Positioning3.4
Opening Duels0.0
Clutch6.6

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 77% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 583ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim4.6
Positioning3.4
Utility6.2
Mechanics3.6
Opening Duels0.0
Win Impact0.0

Composite 3.4/10 (Learning), 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-0.04−0.01
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time594ms−103ms
first ⅓ avg 697ms → last ⅓ avg 594ms
Headshot accuracy18.3%+1.6%
first ⅓ avg 16.7% → last ⅓ avg 18.3%

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.

Highlights

0.14Best rating — inferno 6–0
130Biggest win — dust2
7Longest win streak
L4Current streak
77In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 55% over 11mirageWeakest map · 43% over 30
MapGradePlayedRecordWin rateAvg rating
dust2B37181949%-0.03
mirageC30131743%-0.05
infernoC1881044%-0.01
ancientA116555%-0.04
nuke21150%-0.04
anubis1010%-0.02
vertigo110100%-0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (43% over 30). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

15,527Lifetime kills
0.72K/D
1,202Matches
42.8%Match win rate
39.0%Headshot %
0.0%Shot accuracy
2,057MVPs
441Hours (in match)
968Bombs planted
281Bombs defused

Most-used weapons

Lifetime map wins

3,514dust2
2,064inferno
644nuke
184vertigo
94train
26office
8italy

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

Faceit stats

Combat

47Matches
49%Win rate
0.60Avg K/D
62.0ADR
43%Headshot %

Clutches & streaks

53%1v1 clutch win
17%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1638%0.558.8
Inferno1346%0.6310.8
Dust2956%0.7011.4
Nuke580%0.588.8
Overpass367%0.528.7
Ancient10%0.5712.0

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.

19.2%Headshot accuracy
26.2%Accuracy (enemy spotted)
32.2%Spray accuracy
66.4%Counter-strafing
9.4°Preaim
583msReaction time
23.3%T opening success
28.1%CT opening success
0.52Enemies flashed / flash
8.2%Flash assists
9.85HE damage / grenade
9.22Flashes / 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 23.3374% — 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.

43% win rate across 30 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
dust211–13-0.0523%23 Aug
dust210–130.0232%23 Aug
dust211–13-0.0718%22 Aug
inferno7–13-0.1114%22 Aug
inferno13–10.0314%22 Aug
mirage7–13-0.103%22 Aug
inferno13–10-0.1011%22 Aug
dust213–30.0346%22 Aug
dust216–13-0.0719%18 Aug
dust213–7-0.0121%17 Aug
inferno5–130.0517%17 Aug
mirage12–120.0133%17 Aug
inferno9–13-0.0655%17 Aug
anubis11–13-0.0223%17 Aug
ancient3–13-0.126%17 Aug
mirage13–50.0424%16 Aug
mirage13–11-0.0821%16 Aug
inferno9–13-0.0210%15 Aug
dust22–13-0.094%15 Aug
mirage6–13-0.099%14 Aug
nuke6–13-0.047%13 Aug
ancient9–13-0.0217%13 Aug
dust213–5-0.0419%11 Aug
ancient13–11-0.0617%11 Aug
dust25–13-0.068%10 Aug
dust210–13-0.0723%9 Aug
inferno8–13-0.0617%8 Aug
inferno7–13-0.064%7 Aug
mirage8–13-0.0620%7 Aug
dust213–4-0.0232%7 Aug
mirage10–13-0.0618%3 Aug
dust213–9-0.0211%3 Aug
mirage13–11-0.0811%3 Aug
mirage13–70.0118%3 Aug
inferno13–6-0.0220%3 Aug
dust213–60.0420%3 Aug
dust213–1-0.058%3 Aug
vertigo13–6-0.060%3 Aug
dust25–13-0.0714%3 Aug
mirage7–13-0.0125%2 Aug
mirage3–13-0.138%2 Aug
ancient5–13-0.0613%1 Aug
mirage10–13-0.0336%1 Aug
dust213–30.1022%1 Aug
ancient3–13-0.0121%31 Jul
ancient13–10-0.0114%31 Jul
dust213–7-0.0024%31 Jul
dust28–13-0.0322%31 Jul
mirage13–9-0.0316%31 Jul
inferno6–130.0422%31 Jul
inferno10–13-0.0617%30 Jul
dust213–5-0.096%30 Jul
mirage0–13-0.1129%29 Jul
inferno13–30.1141%29 Jul
dust213–8-0.0316%29 Jul
ancient16–14-0.0616%28 Jul
mirage13–40.0022%28 Jul
mirage10–13-0.0518%28 Jul
dust212–12-0.0614%28 Jul
inferno13–30.0640%28 Jul
mirage10–13-0.0220%25 Jul
ancient4–13-0.0433%25 Jul
dust213–00.0227%25 Jul
mirage4–13-0.0711%23 Jul
mirage12–16-0.0211%23 Jul
dust211–13-0.0614%22 Jul
mirage13–8-0.020%22 Jul
dust29–13-0.044%22 Jul
ancient13–9-0.0524%22 Jul
ancient13–4-0.027%22 Jul
inferno7–13-0.073%22 Jul
dust213–70.0511%22 Jul
mirage13–2-0.0411%22 Jul
mirage13–5-0.060%21 Jul
inferno6–00.148%21 Jul
dust213–0-0.0225%21 Jul
dust213–5-0.0733%21 Jul
dust20–80.0125%21 Jul
dust22–13-0.0215%21 Jul
mirage13–80.0413%21 Jul
mirage16–14-0.0121%20 Jul
dust213–5-0.075%20 Jul
dust21–13-0.06100%20 Jul
nuke13–5-0.0529%20 Jul
mirage16–14-0.0515%17 Jul
ancient13–6-0.0417%16 Jul
dust29–13-0.0314%16 Jul
dust215–15-0.0714%16 Jul
mirage13–8-0.0612%16 Jul
mirage7–13-0.098%16 Jul
inferno8–13-0.057%16 Jul
mirage8–13-0.0814%16 Jul
dust211–13-0.0713%15 Jul
inferno13–10-0.0412%15 Jul
dust213–10-0.0020%15 Jul
dust29–13-0.0510%15 Jul
mirage12–16-0.0814%14 Jul
inferno13–11-0.0025%14 Jul
dust211–13-0.0614%14 Jul
mirage11–13-0.066%14 Jul

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 →