✪ c H 1 l L T

✪ c H 1 l L T — CS2 Stats

DE76561197968580335[U:1:8314607]Steam profile ↗✓ No bans

1,095Tracked matches62%Win rate2020Tracked since
1,144Hours in CS
CSDB Rating7.1 StrongSupport
Premier CS Rating18,975Top 50% of 212,379 CSDB-tracked playersPurple band · top ~12.6% of ranked players (population est.)
CSDB Leaderboard#99276 of 259274 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Oct 2026 (yesterday). 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: 18,975 -906 1 Aug – 31 Oct · 23 days played
17,92021,742peak 21,7421 Aug31 Oct
22,174Peak Premier in tracked matches
27Days played since 2026-08-01

Premier CS Rating

  • 2,767 below peak (21,742)
  • +930 over 30 days · improving
  • -1,139 over 90 days
  • Next: Pink band at 20,000 — 1,025 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-31
  • Purple band first seen 2026-08-31

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 Level 4 among CSDB-tracked players (n=14,630), 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 playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate61.4%42.7%43.8%above
Shot accuracy10.7%11.2%12.0%1.3% short
Kill/death ratio0.980.991.020.03 short
Match win rate46.8%43.9%44.7%above

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG✪ c H 1 l L TFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER18,975 · Purple 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

Aim79
Positioning60
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY48–46–6Last 10048%Win rateLWWLLLWLWT

Last 10 vs previous 10: −30pp win rate · −0.02 avg rating · −2.2pp headshot accuracy · +39ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 27%
  • Avg reaction 664ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 30%
  • Avg reaction 674ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 32%
  • Avg reaction 654ms

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 against its own average).

Aim7.9
Utility6.6
Positioning6.0
Opening Duels4.7
Clutch1.0

Effective flashes

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 90% 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

Reaction time. 639ms 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

Aim7.9
Positioning6.0
Utility6.6
Mechanics7.1
Opening Duels5.9
Win Impact9.0

Composite 7.1/10 (Strong), 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 rating0.03+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.03
Reaction time632ms+4ms
first ⅓ avg 629ms → last ⅓ avg 632ms
Headshot accuracy32.1%−2.4%
first ⅓ avg 34.5% → last ⅓ avg 32.1%

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.

Personal bests

0.18Best match rating · 5–2 · nuke, 3 Oct →
53%Best headshot accuracy · 13–3 · nuke, 3 Oct →
430msFastest reaction time · 13–3 · inferno, 18 Aug →
13–2Biggest win · inferno, 17 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
3–4In matches decided by ≤2 rounds
9Overtime games

Map breakdown

trainBest map · 60% over 5dust2Weakest map · 29% over 17
MapGradePlayedRecordWin rateAvg rating
infernoA2615–1158%0.00
dust2D175–1229%0.02
nukeA169–756%0.03
cacheC104–640%0.01
ancientC83–538%0.01
anubisA74–357%0.03
trainA53–260%0.01
mirage—31–233%-0.05
vertigo—31–233%0.04
shelter—32–167%0.06
fachwerk—21–150%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

44,856Lifetime kills
0.98K/D
2,526Matches
46.8%Match win rate · Top 50% of Level 4 players
61.4%Headshot % · Top 5% of Level 4 players
10.7%Shot accuracy
5,345MVPs
1,144Hours (in match)
2,595Bombs planted
598Bombs defused

Most-used weapons

AK-4716,052
FAMAS2,843
AWP2,342
MP72,218
SSG 081,118

Lifetime map wins

9,221inferno
7,502dust2
1,579nuke
860vertigo
389train
282cbble
39office
24safehouse

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

Faceit stats

Combat

139Matches
53%Win rate
1.18Avg K/D
68.9ADR
58%Headshot %

Clutches & streaks

25%1v1 clutch win
0%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Inferno30%0.8312.7
Mirage250%0.7011.0
Anubis10%0.7311.0
Vertigo10%0.7919.0
Ancient1100%1.1515.0

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.

31.3%Headshot accuracy
32.2%Accuracy (enemy spotted)
30.0%Spray accuracy
82.0%Counter-strafing
8.0°Preaim
639msReaction time
55.5%T opening success
51.3%CT opening success
0.73Enemies flashed / flash
5.1%Flash assists
12.27HE damage / grenade
10.22Flashes / match

Recommended for you

Spend your practice time on Dust 2

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

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno9–130.0425%31 Oct →
dust213–90.0829%31 Oct →
inferno13–90.0222%31 Oct →
mirage5–13-0.0323%30 Oct →
dust25–13-0.0335%30 Oct →
nuke7–13-0.0034%30 Oct →
nuke13–90.0431%30 Oct →
inferno5–130.0123%30 Oct →
dust213–11-0.0434%28 Oct →
nuke15–15-0.0347%28 Oct →
cache13–60.0636%17 Oct →
mirage9–13-0.0326%17 Oct →
inferno8–13-0.0123%17 Oct →
inferno13–20.0133%17 Oct →
inferno8–00.1540%10 Oct →
inferno13–60.0638%10 Oct →
anubis13–100.0528%9 Oct →
inferno13–8-0.0146%9 Oct →
dust211–13-0.0326%3 Oct →
cache13–50.0031%3 Oct →
nuke13–60.0029%3 Oct →
inferno11–13-0.0223%3 Oct →
nuke5–20.1824%3 Oct →
inferno10–130.0435%3 Oct →
anubis13–10-0.0122%3 Oct →
cache13–50.1032%3 Oct →
nuke13–30.1853%3 Oct →
train9–130.0741%2 Oct →
ancient13–100.0329%30 Sept →
inferno13–6-0.0123%30 Sept →
anubis13–70.0341%30 Sept →
dust27–130.0549%26 Sept →
inferno5–13-0.0530%26 Sept →
nuke13–10-0.0244%26 Sept →
dust22–13-0.0235%26 Sept →
dust212–120.0538%24 Sept →
cache5–13-0.0132%24 Sept →
ancient9–130.0244%19 Sept →
dust29–13-0.0122%19 Sept →
inferno13–160.0731%19 Sept →
nuke15–150.0345%19 Sept →
ancient10–130.1141%19 Sept →
nuke12–12-0.0133%12 Sept →
vertigo13–90.0731%12 Sept →
inferno13–50.0739%12 Sept →
cache8–130.0630%12 Sept →
inferno13–10-0.0126%12 Sept →
cache10–13-0.0331%5 Sept →
dust23–13-0.0433%5 Sept →
inferno1–13-0.0546%5 Sept →
mirage16–13-0.0917%5 Sept →
nuke14–16-0.0525%5 Sept →
anubis13–100.0930%4 Sept →
inferno10–13-0.0728%3 Sept →
inferno4–13-0.0741%3 Sept →
dust214–160.0235%2 Sept →
ancient13–70.0215%2 Sept →
fachwerk13–70.0745%25 Aug →
nuke13–4-0.0414%18 Aug →
inferno13–70.0536%18 Aug →
inferno13–30.0126%18 Aug →
nuke15–15-0.0328%18 Aug →
anubis10–13-0.0331%17 Aug →
dust213–7-0.0715%17 Aug →
inferno13–4-0.0248%17 Aug →
inferno7–4-0.0640%17 Aug →
anubis10–130.0041%17 Aug →
train8–5-0.0243%17 Aug →
vertigo12–12-0.0634%17 Aug →
anubis10–130.0422%17 Aug →
inferno13–3-0.0126%16 Aug →
ancient7–130.0529%16 Aug →
dust27–130.0226%16 Aug →
train13–10-0.0235%16 Aug →
inferno13–90.0249%16 Aug →
nuke13–30.0229%16 Aug →
ancient5–13-0.0839%16 Aug →
nuke6–130.0231%16 Aug →
dust25–130.0941%16 Aug →
vertigo8–130.1146%15 Aug →
cache2–13-0.0226%15 Aug →
shelter13–110.1144%15 Aug →
train3–13-0.0644%15 Aug →
train13–40.0848%15 Aug →
cache8–13-0.0445%15 Aug →
dust213–60.0750%13 Aug →
cache13–110.0133%9 Aug →
shelter10–130.0723%8 Aug →
dust213–16-0.0225%8 Aug →
fachwerk4–13-0.0920%8 Aug →
ancient1–13-0.1618%8 Aug →
inferno13–100.0135%8 Aug →
shelter13–4-0.0032%8 Aug →
dust213–60.1142%2 Aug →
nuke13–50.1139%2 Aug →
cache2–13-0.0532%1 Aug →
nuke13–60.0442%1 Aug →
ancient13–50.0833%1 Aug →
dust29–130.0230%1 Aug →
inferno12–16-0.0427%1 Aug →

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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