DreamTime

DreamTime — CS2 Stats

UA76561198038554237[U:1:78288509]Steam profile ↗

283Tracked matches59%Win rate2021Tracked since
1,438Hours in CS1Hrs last 2 wks
CSDB Rating3.3 Learning
Premier CS Rating14,653Blue band · top ~30.2% of ranked players (population est.)
CSDB Leaderboard#13771 of 21126 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

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CSDB.GGDreamTimeFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER14,653 · Blue bandcsdb.gg/stats

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Performance scores

Aim28
Positioning26
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY464410Last 10046%Win rateLWWLWWWTLW

Last 10 vs previous 10: -10pp win rate · -0.04 avg rating

Player DNA

Aim2.8
Aggression2.2
Utility5.6
Positioning2.6
Opening Duels0.0
Clutch6.0

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 69% 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. 637ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% 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

Aim2.8
Positioning2.6
Utility5.6
Mechanics3.2
Opening Duels0.0
Win Impact7.9

Composite 3.3/10 (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-0.02+0.02
first ⅓ avg -0.04 → last ⅓ avg -0.02
Reaction time644ms−20ms
first ⅓ avg 663ms → last ⅓ avg 644ms
Headshot accuracy10.1%−3.0%
first ⅓ avg 13.1% → last ⅓ avg 10.1%

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

0.08Best rating — mirage 13–11
131Biggest win — anubis
3Longest win streak
811In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 83% over 6ancientWeakest map · 37% over 19
MapGradePlayedRecordWin rateAvg rating
ancientC1971237%-0.03
infernoA1811761%-0.02
dust2C156940%-0.04
anubisC135838%-0.02
trainC104640%-0.03
vertigoC73443%-0.02
nukeS65183%-0.03
overpassC52340%-0.03
mirage42250%0.01
office1010%-0.02
italy110100%0.08
palais1010%-0.20

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (37% over 19). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

35,576Lifetime kills
0.88K/D
2,339Matches
42.5%Match win rate
38.7%Headshot %
16.7%Shot accuracy · Top 25% of tracked players
4,306MVPs
838Hours (in match)
2,655Bombs planted
434Bombs defused

Most-used weapons

Lifetime map wins

5,416dust2
4,667inferno
814vertigo
579nuke
297train
153lake
97cbble
54office

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

Faceit stats

Combat

102Matches
47%Win rate
0.70Avg K/D
59.4ADR
37%Headshot %

Clutches & streaks

50%1v1 clutch win
20%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno667%0.8812.2
Ancient40%0.467.3
Dust2333%0.779.3
Anubis250%0.589.0

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.

10.0%Headshot accuracy
32.6%Accuracy (enemy spotted)
34.1%Spray accuracy
64.3%Counter-strafing
12.8°Preaim
637msReaction time
22.8%T opening success
27.8%CT opening success
0.69Enemies flashed / flash
4.4%Flash assists
7.48HE damage / grenade
8.59Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.8431° — above the 12° mark we flag

    Aim Training
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 10.0484% — below the 15% mark we flag

    Aim Training
Spend your practice time on Ancient

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

37% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
train4–13-0.1429%16 Aug
ancient13–10-0.0616%25 Jun
inferno13–10-0.0312%23 May
ancient9–13-0.0510%10 Apr
inferno13–100.016%20 Mar
inferno13–10-0.058%18 Mar
ancient13–11-0.085%18 Mar
inferno15–15-0.0215%10 Mar
ancient9–13-0.017%10 Mar
inferno13–50.004%10 Mar
inferno13–9-0.023%9 Mar
mirage13–110.0817%9 Mar
overpass10–13-0.0613%9 Mar
ancient11–130.009%9 Mar
anubis13–10.0514%9 Mar
inferno13–50.0415%9 Mar
dust213–5-0.016%1 Mar
inferno4–13-0.0611%1 Mar
anubis13–10.0115%27 Feb
anubis13–9-0.043%22 Feb
dust216–12-0.059%15 Feb
ancient10–13-0.019%8 Feb
dust24–13-0.109%18 Jan
ancient5–2-0.035%2 Jan
dust26–13-0.079%26 Dec
overpass11–13-0.0113%26 Dec
dust213–40.0117%24 Dec
dust211–13-0.117%21 Dec
vertigo7–130.011%21 Dec
anubis13–8-0.016%7 Dec
ancient10–130.0411%7 Dec
nuke13–4-0.037%10 Nov
train12–12-0.0112%10 Nov
ancient5–13-0.023%6 Nov
inferno13–9-0.0118%31 Oct
dust213–5-0.016%31 Oct
inferno7–13-0.0512%29 Oct
inferno13–110.0014%26 Oct
dust25–13-0.0420%24 Oct
vertigo12–12-0.0511%2 Oct
office12–12-0.0213%2 Oct
inferno11–13-0.0313%26 Sept
overpass13–11-0.054%26 Sept
italy10–60.0812%26 Sept
vertigo10–13-0.027%26 Sept
nuke13–6-0.019%8 Sept
overpass13–2-0.0219%31 Aug
vertigo13–5-0.0415%31 Aug
mirage11–13-0.0112%31 Aug
train15–15-0.0018%17 Aug
train6–2-0.027%17 Aug
overpass12–12-0.0312%17 Jul
train13–110.0111%17 Jul
dust210–13-0.0819%6 Jul
inferno13–4-0.048%6 Jul
mirage11–13-0.0310%22 Jun
nuke5–13-0.059%22 Jun
ancient12–12-0.028%22 Jun
anubis11–13-0.015%22 Jun
ancient13–40.004%15 Jun
dust213–11-0.0730%15 Jun
dust215–150.0318%15 Jun
inferno12–120.0114%3 Jun
nuke13–50.0220%3 Jun
mirage13–70.0214%3 Jun
train5–13-0.019%21 Apr
dust213–10-0.047%13 Mar
dust23–13-0.077%27 Feb
train13–10-0.0315%21 Feb
ancient13–10-0.0415%21 Feb
train13–1-0.0218%12 Feb
ancient4–13-0.096%11 Feb
ancient11–130.0118%29 Jan
anubis13–100.0516%29 Jan
train11–13-0.0417%29 Jan
train8–13-0.0812%29 Jan
ancient3–13-0.0513%24 Jan
inferno11–13-0.0711%22 Jan
nuke13–11-0.0613%22 Jan
anubis4–13-0.024%22 Jan
anubis4–13-0.0515%20 Jan
dust29–13-0.0211%20 Jan
anubis6–13-0.108%20 Jan
inferno5–9-0.0831%20 Jan
palais4–9-0.2010%20 Jan
vertigo9–6-0.0416%20 Jan
anubis3–13-0.069%19 Jan
inferno13–50.0116%19 Jan
dust21–13-0.0417%19 Jan
anubis6–13-0.027%16 Jan
ancient13–100.009%16 Jan
vertigo15–150.0110%16 Jan
vertigo11–7-0.057%16 Jan
ancient4–13-0.0524%1 Jan
nuke13–10-0.0513%1 Jan
ancient13–11-0.046%1 Jan
anubis5–13-0.0913%1 Jan
inferno13–60.0116%28 Dec
anubis10–13-0.0211%28 Dec
ancient11–13-0.0318%27 Dec

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 →