DiffizilT

DiffizilT — CS2 Stats

76561198853794134[U:1:893528406]Steam profile ↗✓ No bans

347Tracked matches54%Win rate2021Tracked since
604Hours in CS7Hrs last 2 wks
CSDB Rating6.3 SolidClutch Specialist
Premier CS Rating14,036Blue band · top ~33.5% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Oct 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: 14,036 -5,659 30 Oct – 27 Oct · 19 days played
12,72619,695peak 19,69530 Oct27 Oct
19,695Peak Premier in tracked matches
51Days played since 2025-10-26

Premier CS Rating

  • 5,659 below peak (19,695)
  • Next: Purple band at 15,000 — 964 to go
  • Reached: Purple band · Blue band · Light Blue band

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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate50.5%42.0%44.4%above
Shot accuracy13.7%9.6%11.9%above
Kill/death ratio1.280.981.03above
Match win rate53.9%43.8%45.2%above

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

Share this profile

CSDB.GGDiffizilTPREMIER14,036 · 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

Aim85
Positioning65
Utility32

0–100 skill scores via Leetify.

Recent form

STEADY44–50–6Last 10044%Win rateWWLLWWLLWW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +5.0pp headshot accuracy · +1ms reaction

Win rate 0pp 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 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 595ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 581ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 580ms

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 (+2.3 against its own average).

Aim8.5
Utility3.2
Positioning6.5
Opening Duels3.2
Clutch7.4

Sharp aimerLimited utility dependenceReliable in 1v1s

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

ropz

Plays most like ropz 84% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: 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

Areas to improve

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

Reaction time. 587ms 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

Aim8.5
Positioning6.5
Utility3.2
Mechanics8.3
Opening Duels4.3
Win Impact6.2

Composite 6.3/10 (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 rating0.02+0.02
first ⅓ avg -0.00 → last ⅓ avg 0.02
Reaction time583ms−102ms
first ⅓ avg 685ms → last ⅓ avg 583ms
Headshot accuracy18.3%−3.0%
first ⅓ avg 21.3% → 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.

Personal bests

0.23Best match rating · 9–5 · nuke, 9 May →
50%Best headshot accuracy · 5–2 · inferno, 6 Dec →
383msFastest reaction time · 7–13 · inferno, 18 Oct →
13–0Biggest win · ancient, 13 May →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
5–9In matches decided by ≤2 rounds
8Overtime games

Map breakdown

ancientBest map · 68% over 19nukeWeakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
infernoD217–1433%0.01
ancientS1913–668%0.03
nukeD144–1029%-0.00
dust2A127–558%0.01
cacheC83–538%-0.01
mirageD72–529%-0.03
overpassD72–529%0.01
anubisD62–433%0.00
train—32–167%0.01
office—21–150%-0.04
vertigo—11–0100%0.15

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

21,796Lifetime kills
1.28K/D · Top 10% of Blue band
1,140Matches
53.9%Match win rate · Top 5% of Blue band
50.5%Headshot % · Top 25% of Blue band
13.7%Shot accuracy · Top 50% of Blue band
4,596MVPs
307Hours (in match)
1,001Bombs planted
364Bombs defused

Most-used weapons

Lifetime map wins

1,625inferno
762nuke
649vertigo
637train
529cbble
529dust2
190lake
109office

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

Faceit stats

Combat

16Matches
44%Win rate
1.30Avg K/D
92.3ADR
51%Headshot %

Clutches & streaks

57%1v1 clutch win
43%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient667%1.5619.8
Mirage333%0.8713.7
Anubis20%0.7413.0
Inferno2100%2.1020.5
Dust220%1.1418.0
Cache10%0.8315.0

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.

18.1%Headshot accuracy
39.5%Accuracy (enemy spotted)
41.7%Spray accuracy
87.2%Counter-strafing
9.1°Preaim
587msReaction time
44.7%T opening success
49.9%CT opening success
0.53Enemies flashed / flash
1.2%Flash assists
5.50HE damage / grenade
3.43Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.4306 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Nuke

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

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–100.0421%27 Oct →
inferno16–140.0116%27 Oct →
mirage9–13-0.0713%27 Oct →
dust28–130.1037%26 Oct →
anubis16–130.0012%26 Oct →
ancient13–7-0.0231%26 Oct →
mirage8–130.0118%26 Oct →
inferno7–13-0.0017%18 Oct →
ancient13–70.0413%13 Oct →
ancient13–90.0425%13 Oct →
ancient13–100.0427%9 Oct →
anubis10–13-0.0211%9 Oct →
cache13–70.0623%30 Sept →
dust213–60.1018%30 Sept →
ancient13–60.0917%27 Sept →
inferno13–100.0017%27 Sept →
cache11–13-0.053%26 Sept →
anubis12–120.029%17 Sept →
nuke3–130.0113%14 Sept →
ancient13–100.0314%14 Sept →
inferno13–10.0513%12 Sept →
nuke7–13-0.0225%12 Sept →
mirage8–13-0.0415%31 Jul →
inferno5–13-0.0424%24 Jul →
ancient13–100.0815%24 Jul →
nuke10–130.0324%18 Jul →
overpass12–120.0419%7 Jul →
cache9–13-0.0521%7 Jul →
inferno8–130.0315%26 Jun →
dust213–7-0.0124%22 Jun →
inferno7–130.0217%22 Jun →
office7–13-0.0311%18 Jun →
train13–80.0426%17 Jun →
cache5–130.0423%13 May →
mirage8–13-0.0415%13 May →
ancient13–00.1123%13 May →
ancient3–13-0.0525%10 May →
nuke11–13-0.0220%10 May →
cache13–40.0518%10 May →
cache6–13-0.1043%9 May →
cache6–13-0.0518%9 May →
nuke9–50.2317%9 May →
cache13–90.0312%9 May →
anubis13–16-0.0515%4 May →
inferno12–120.1219%26 Apr →
dust213–6-0.0416%16 Apr →
anubis6–13-0.046%3 Apr →
ancient13–00.1932%3 Apr →
nuke13–2-0.0622%28 Mar →
inferno3–130.0432%24 Mar →
inferno8–130.0321%16 Feb →
mirage8–130.049%16 Feb →
inferno11–130.0013%16 Feb →
anubis13–100.1221%16 Feb →
overpass13–110.0518%16 Jan →
inferno4–13-0.0515%15 Jan →
inferno13–8-0.0018%15 Jan →
dust213–7-0.0423%13 Jan →
ancient8–13-0.0518%13 Jan →
office13–10-0.0513%12 Jan →
inferno9–13-0.0624%12 Jan →
nuke6–13-0.0626%12 Jan →
ancient13–80.0014%12 Jan →
dust213–30.0125%7 Jan →
ancient8–130.0227%21 Dec →
ancient16–12-0.0214%21 Dec →
nuke13–7-0.0425%14 Dec →
nuke7–130.0317%8 Dec →
dust211–13-0.0224%7 Dec →
nuke11–130.0620%7 Dec →
dust213–30.0833%6 Dec →
inferno5–2-0.0250%6 Dec →
overpass15–150.1021%4 Dec →
ancient13–80.0413%4 Dec →
inferno15–15-0.0315%29 Nov →
nuke7–13-0.0627%29 Nov →
inferno7–130.0430%29 Nov →
dust211–13-0.0211%21 Nov →
overpass2–13-0.0927%8 Nov →
overpass11–13-0.0015%6 Nov →
mirage13–10-0.0316%6 Nov →
overpass16–14-0.0618%2 Nov →
ancient8–130.0223%1 Nov →
dust23–13-0.0717%31 Oct →
ancient11–13-0.036%31 Oct →
inferno7–130.0115%31 Oct →
overpass10–130.0329%31 Oct →
train12–12-0.0134%31 Oct →
vertigo13–110.1524%30 Oct →
train13–11-0.0022%30 Oct →
inferno13–7-0.0118%30 Oct →
mirage13–5-0.0622%30 Oct →
nuke6–130.0024%30 Oct →
inferno9–130.0119%30 Oct →
ancient14–16-0.0416%30 Oct →
nuke13–9-0.0518%30 Oct →
inferno13–4-0.0418%30 Oct →
dust213–80.0122%28 Oct →
nuke3–13-0.0717%27 Oct →
dust210–13-0.0122%26 Oct →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.