Dif

Dif — CS2 Stats

76561198284360501[U:1:324094773]Steam profile ↗✓ No bans

1,847Tracked matches55%Win rate2020Tracked since
CSDB Rating3.9 LearningSupport
FaceitLevel 6 · 1,460 ELOTop 54.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Sep 2026 (27 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,460 → 1,460
+36Tracked matches · now 1,847
−6.9ppWin rate · 62.1% → 55.2%

Rating over time

Premier CS Rating: 17,559 -732 4 Dec – 7 Dec · 2 days played
17,55918,291peak 18,2914 Dec7 Dec
18,670Peak Premier in tracked matches
1,460Highest Faceit ELO seen on CSDB
50Days played since 2025-05-28

Faceit ELO

  • At peak — 1,460
  • Next: Level 8 at 1,531 — 71 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-09-06
  • Level 6 first seen 2026-09-06

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGDifFACEITLevel 6 · 1,460 ELOSTANDINGTop 54.0% of rankedPEAK ELO1,460csdb.gg/stats

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Performance scores

Aim39
Positioning42
Utility64

0–100 skill scores via Leetify.

Recent form

COLD52–44–4Last 10052%Win rateLLLLLLLWWL

Last 10 vs previous 10: −40pp win rate · +0.01 avg rating · −0.7pp headshot accuracy · +40ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 0–5 · 0% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 17%
  • Avg reaction 590ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 614ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 594ms

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 (+2.8 against its own average).

Aim3.9
Utility6.4
Positioning4.2
Opening Duels0.3
Clutch3.6

Strong CT-side opener

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

Twistzz

Plays most like Twistzz 62% 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

T-side openings. Opening success drops from 42% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 631ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim3.9
Positioning4.2
Utility6.4
Mechanics3.8
Opening Duels1.5
Win Impact6.7

Composite 3.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03+0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time630ms+17ms
first ⅓ avg 613ms → last ⅓ avg 630ms
Headshot accuracy15.8%+1.3%
first ⅓ avg 14.5% → last ⅓ avg 15.8%

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

0.08Best match rating · 8–3 · mirage, 17 Aug →
36%Best headshot accuracy · 6–13 · overpass, 29 Nov →
406msFastest reaction time · 3–13 · anubis, 12 Jul →
13–1Biggest win · overpass, 19 Oct →

Across the last 100 tracked matches.

Highlights

9Longest win streak
L7Current streak
4–9In matches decided by ≤2 rounds
13Overtime games

Map breakdown

infernoBest map · 65% over 17nukeWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
mirageA2112–957%-0.02
infernoS1711–665%-0.00
overpassA1710–759%-0.02
cacheA116–555%-0.05
anubisA106–460%-0.02
ancientD92–722%-0.04
nukeD50–50%-0.01
vertigo—41–325%-0.05
train—44–0100%0.00
dust2—20–20%0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,940Matches
49%Win rate
0.81Avg K/D
63.8ADR
40%Headshot %

Clutches & streaks

38%1v1 clutch win
16%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage23648%0.8512.6
Anubis14453%0.8212.4
Ancient10843%0.8212.6
Vertigo7957%0.9213.1
Inferno7442%0.7411.4
Train5357%0.8812.3
Overpass5246%0.8312.3
Cache2560%0.7511.0

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.

16.6%Headshot accuracy
27.8%Accuracy (enemy spotted)
32.1%Spray accuracy
67.3%Counter-strafing
10.1°Preaim
631msReaction time
19.6%T opening success
41.8%CT opening success
0.63Enemies flashed / flash
5.8%Flash assists
11.48HE damage / grenade
11.00Flashes / 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 19.6488% — below the 40% mark we flag

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.

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
vertigo10–13-0.0720%23 Sept →
mirage7–13-0.0314%9 Sept →
cache1–13-0.1111%21 Aug →
cache4–13-0.0323%18 Aug →
vertigo10–120.0116%18 Aug →
mirage4–13-0.0610%17 Aug →
inferno11–130.0717%17 Aug →
mirage8–30.0830%17 Aug →
cache13–11-0.0316%16 Aug →
anubis2–13-0.0812%16 Aug →
mirage12–16-0.0416%16 Aug →
mirage13–20.0222%16 Aug →
inferno13–10-0.0322%14 Aug →
mirage16–120.0317%14 Aug →
cache10–13-0.0626%14 Aug →
cache13–2-0.0326%14 Aug →
inferno11–13-0.0718%31 May →
inferno13–8-0.0518%28 May →
inferno9–20.056%25 May →
vertigo5–9-0.125%25 May →
nuke11–13-0.0410%24 May →
inferno13–60.0219%24 May →
train13–30.0426%23 May →
cache12–12-0.0817%23 May →
anubis13–6-0.036%23 May →
mirage13–100.0311%17 May →
cache14–16-0.0616%15 May →
cache13–10-0.0318%15 May →
inferno13–90.0215%3 May →
cache13–5-0.0319%27 Apr →
anubis13–8-0.0013%26 Apr →
cache13–10-0.054%24 Apr →
cache13–11-0.052%24 Apr →
anubis13–8-0.0012%17 Apr →
mirage13–8-0.0028%17 Apr →
ancient13–7-0.0115%13 Apr →
inferno15–150.0121%10 Apr →
mirage13–9-0.0521%10 Apr →
dust28–130.0213%10 Apr →
inferno15–15-0.0711%6 Apr →
inferno13–40.0726%6 Apr →
ancient11–13-0.0128%22 Mar →
mirage9–13-0.0119%22 Mar →
mirage13–80.0212%13 Mar →
anubis13–40.0218%1 Mar →
overpass13–9-0.0523%1 Mar →
overpass13–70.0331%1 Mar →
overpass13–100.049%18 Feb →
anubis14–16-0.0516%11 Jan →
inferno13–110.0226%28 Dec →
ancient10–13-0.0014%27 Dec →
mirage8–13-0.0515%7 Dec →
overpass8–13-0.0613%7 Dec →
mirage13–7-0.0320%7 Dec →
nuke11–13-0.0318%4 Dec →
dust213–160.0318%4 Dec →
overpass13–7-0.0015%4 Dec →
mirage13–50.0016%30 Nov →
train13–4-0.0011%30 Nov →
mirage9–13-0.0316%30 Nov →
overpass13–9-0.0220%30 Nov →
inferno13–70.0127%30 Nov →
overpass6–13-0.0436%29 Nov →
mirage13–9-0.0424%27 Nov →
inferno13–16-0.0115%27 Nov →
nuke3–130.0013%27 Nov →
mirage15–15-0.0023%27 Nov →
inferno6–9-0.1211%27 Nov →
mirage13–5-0.024%27 Nov →
mirage13–7-0.0519%27 Nov →
nuke0–13-0.0315%27 Nov →
overpass14–16-0.0313%27 Nov →
inferno13–8-0.0112%25 Nov →
ancient7–13-0.096%25 Nov →
overpass13–60.0012%25 Nov →
vertigo9–6-0.0117%16 Nov →
ancient8–13-0.0510%13 Nov →
overpass9–13-0.0416%1 Nov →
ancient28–25-0.0216%19 Oct →
overpass13–10.0718%19 Oct →
overpass10–13-0.096%2 Sept →
overpass28–25-0.0219%30 Aug →
overpass8–13-0.0013%25 Aug →
ancient7–13-0.0514%15 Aug →
train16–14-0.045%10 Aug →
train13–70.019%10 Aug →
overpass13–10-0.0232%20 Jul →
inferno13–60.0216%20 Jul →
overpass13–10-0.0213%20 Jul →
overpass4–13-0.1022%20 Jul →
mirage10–13-0.0623%20 Jul →
anubis3–13-0.0714%12 Jul →
anubis6–13-0.0322%11 Jul →
nuke9–130.0730%5 Jul →
ancient2–13-0.090%30 May →
mirage8–13-0.057%30 May →
ancient7–13-0.0717%28 May →
inferno13–50.0422%28 May →
anubis13–30.0321%28 May →
anubis13–20.015%28 May →

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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