ItsDennis11

ItsDennis11 — CS2 Stats

GA76561199369413101[U:1:1409147373]Steam profile ↗✓ No bans

1,036Tracked matches43%Win rate2022Tracked since
1,429Hours in CS9Hrs last 2 wks
CSDB Rating5.5 SolidPositional Player
WingmanGold Nova III
Ladder ranks via Leetify

Performance scores

Aim64
Positioning60
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY44–53–3Last 10044%Win rateLLLWWWWWLW

Last 10 vs previous 10: +50pp win rate · −0.02 avg rating · −1.8pp headshot accuracy · +17ms reaction

Win rate up 50pp 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 (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 24%
  • Avg reaction 694ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 21%
  • Avg reaction 630ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 622ms

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 (+2.5 against its own average).

Aim6.4
Utility5.5
Positioning6.0
Opening Duels2.5
Clutch0.0

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 82% playstyle similarity

Most alike: positioning profile, utility contribution.

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

CT openings. Opening success drops from 54% on T to 34% on CT — first contacts on the defending side are being lost.

Reaction time. 618ms 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

Aim6.4
Positioning6.0
Utility5.5
Mechanics6.6
Opening Duels3.5
Win Impact2.6

Composite 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time621ms−29ms
first ⅓ avg 650ms → last ⅓ avg 621ms
Headshot accuracy24.0%+0.7%
first ⅓ avg 23.3% → last ⅓ avg 24.0%

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

0.15Best match rating · 13–0 · train, 16 Aug →
48%Best headshot accuracy · 13–0 · train, 16 Aug →
438msFastest reaction time · 13–8 · vertigo, 3 Nov →
13–0Biggest win · fachwerk, 1 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L3Current streak
7–4In matches decided by ≤2 rounds
4Overtime games

Map breakdown

cacheBest map · 60% over 15nukeWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
mirageC249–1538%0.00
cacheA159–660%-0.01
trainA106–460%0.04
ancientD93–633%-0.01
dust2D92–722%-0.04
anubisA74–357%-0.00
vertigoA74–357%-0.04
infernoC73–443%0.02
nukeD50–50%-0.02
overpass—42–250%0.01
office—11–0100%0.04
fachwerk—11–0100%0.08
boulder—10–10%0.03

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.

Lifetime stats

35,994Lifetime kills
1.03K/D · Top 50% of tracked players
2,367Matches
39.5%Match win rate
45.6%Headshot % · Top 50% of tracked players
3.5%Shot accuracy
4,781MVPs
689Hours (in match)
2,334Bombs planted
469Bombs defused

Most-used weapons

Lifetime map wins

2,517inferno
2,001vertigo
1,709dust2
959nuke
951train
185office
98cbble
70italy

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

Faceit stats

Combat

4Matches
50%Win rate
0.92Avg K/D
75.0ADR
63%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Dust21100%1.7124.0
Nuke1100%0.8916.0
Ancient10%0.7112.0
Cache10%0.357.0

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.

23.9%Headshot accuracy
31.0%Accuracy (enemy spotted)
31.5%Spray accuracy
79.6%Counter-strafing
10.1°Preaim
618msReaction time
53.8%T opening success
34.1%CT opening success
0.66Enemies flashed / flash
7.1%Flash assists
7.22HE damage / grenade
9.30Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 34.1299% — 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
anubis7–13-0.0124%14 Nov →
vertigo6–13-0.1212%14 Nov →
train3–130.0035%13 Nov →
ancient13–9-0.0020%11 Nov →
mirage13–100.0130%11 Nov →
train13–9-0.0118%8 Nov →
ancient13–4-0.0419%7 Nov →
mirage13–10-0.0315%7 Nov →
overpass6–13-0.0420%7 Nov →
vertigo13–8-0.0523%3 Nov →
ancient4–13-0.0613%1 Nov →
ancient8–130.0238%1 Nov →
overpass10–13-0.0111%31 Oct →
anubis12–12-0.0121%31 Oct →
cache12–12-0.0925%30 Oct →
ancient5–130.0213%29 Oct →
cache7–13-0.0136%25 Oct →
inferno8–130.0926%25 Oct →
mirage11–13-0.0321%23 Oct →
cache13–90.0129%23 Oct →
cache3–13-0.0240%20 Oct →
dust210–13-0.0530%20 Oct →
cache16–140.0132%19 Oct →
nuke8–130.0030%19 Oct →
overpass13–10-0.0215%18 Oct →
vertigo13–11-0.0010%18 Oct →
mirage9–13-0.0926%18 Oct →
mirage5–110.0415%17 Oct →
mirage13–110.0939%14 Oct →
dust213–60.0626%14 Oct →
mirage3–130.0124%13 Oct →
inferno9–130.0723%13 Oct →
cache13–20.1234%12 Oct →
nuke8–13-0.0514%12 Oct →
mirage9–13-0.0217%12 Oct →
inferno16–120.0122%11 Oct →
mirage8–10.1430%11 Oct →
mirage13–160.0122%11 Oct →
office13–100.0428%8 Oct →
nuke2–13-0.0317%7 Oct →
dust23–13-0.0915%7 Oct →
train8–13-0.0417%6 Oct →
cache11–130.0124%6 Oct →
inferno5–100.0120%6 Oct →
train13–11-0.0114%29 Sept →
mirage8–13-0.0031%29 Sept →
nuke8–13-0.0630%29 Sept →
cache13–8-0.0215%29 Sept →
cache13–20.0737%29 Sept →
mirage13–70.0821%29 Sept →
mirage13–4-0.0029%28 Sept →
vertigo13–80.0121%28 Sept →
mirage10–13-0.0529%27 Sept →
vertigo12–12-0.0631%27 Sept →
mirage13–1-0.0344%24 Sept →
ancient5–13-0.0811%24 Sept →
mirage13–16-0.0613%24 Sept →
anubis13–110.0728%18 Sept →
mirage7–130.0615%18 Sept →
anubis5–13-0.0411%17 Sept →
anubis13–4-0.0226%16 Sept →
mirage13–90.0621%16 Sept →
mirage11–13-0.0324%15 Sept →
inferno11–13-0.0030%14 Sept →
dust28–13-0.0127%14 Sept →
dust213–11-0.0232%11 Sept →
cache13–7-0.0327%11 Sept →
train13–60.1126%10 Sept →
cache13–110.0525%10 Sept →
overpass13–30.1216%8 Sept →
anubis13–60.039%8 Sept →
mirage7–130.0433%8 Sept →
train6–130.0332%5 Sept →
dust20–13-0.0747%4 Sept →
cache13–6-0.0325%1 Sept →
fachwerk13–00.0830%1 Sept →
dust21–13-0.0319%1 Sept →
nuke6–130.0430%30 Aug →
cache4–13-0.0526%30 Aug →
dust26–13-0.0413%17 Aug →
train13–70.0330%17 Aug →
boulder7–130.0311%16 Aug →
train13–00.1548%16 Aug →
train13–00.0530%14 Aug →
train8–130.0733%14 Aug →
ancient13–80.0418%8 Aug →
ancient3–130.0119%5 Aug →
dust23–13-0.085%5 Aug →
mirage7–130.0116%4 Aug →
cache1–13-0.0718%4 Aug →
ancient7–13-0.0316%4 Aug →
mirage13–8-0.0329%3 Aug →
anubis13–3-0.0232%1 Aug →
vertigo5–1-0.0213%1 Aug →
mirage5–13-0.0111%1 Aug →
cache13–10-0.0225%1 Aug →
inferno13–7-0.0123%1 Aug →
vertigo2–13-0.0320%31 Jul →
inferno13–9-0.0319%30 Jul →
mirage4–13-0.0320%30 Jul →

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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