Genericname

Genericname — CS2 Stats

76561199018187291[U:1:1057921563]Steam profile ↗✓ No bans

228Tracked matches42%Win rate2023Tracked since
CSDB Rating4.2 DevelopingPositional Player
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. Today is the first observation — history builds from here and cannot be backfilled. Come back after the next session and the change shows above.

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Performance scores

Aim62
Positioning41
Utility3

0–100 skill scores via Leetify.

Recent form

STEADY355510Last 10035%Win rateLTWWWWLLTL

Last 10 vs previous 10: +20pp win rate · +0.06 avg rating · −1.6pp headshot accuracy · −45ms reaction

Win rate up 20pp 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

  • 311 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 10%
  • Avg reaction 566ms

Last 10

  • 442 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 11%
  • Avg reaction 573ms

Last 20

  • 6104 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 11%
  • Avg reaction 595ms

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 PlayerPositioning stands above the rest of this profile (+1.5 against its own average).

Aim6.2
Utility0.3
Positioning4.1
Opening Duels3.5

Limited utility dependence

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

s1mple

Plays most like s1mple 83% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; 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. 605ms 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

Aim6.2
Positioning4.1
Utility0.3
Mechanics6.5
Opening Duels2.5
Win Impact2.4

Composite 4.2/10 (Developing), 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-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time588ms−28ms
first ⅓ avg 616ms → last ⅓ avg 588ms
Headshot accuracy12.1%+0.4%
first ⅓ avg 11.6% → last ⅓ avg 12.1%

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

0.14Best match rating · 5–13 · mirage, 29 Apr
26%Best headshot accuracy · 1–13 · nuke, 25 Apr
453msFastest reaction time · 4–13 · inferno, 17 Sept
13–1Biggest win · mirage, 18 Jul

Across the last 100 tracked matches.

Highlights

4Longest win streak
77In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 53% over 17infernoWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
mirageD2271532%-0.00
dust2B179853%-0.00
nukeD1551033%0.01
vertigoD124833%-0.00
infernoD113827%0.02
cacheD72529%-0.03
officeC52340%-0.06
anubis31233%-0.01
overpass32167%-0.02
train2020%-0.06
ancient2020%-0.05
shelter1010%-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

12.1%Headshot accuracy
35.5%Accuracy (enemy spotted)
35.7%Spray accuracy
79.1%Counter-strafing
9.3°Preaim
605msReaction time
33.6%T opening success
46.8%CT opening success
0.04Enemies flashed / flash
0.0%Flash assists
0.88HE damage / grenade
0.45Flashes / 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. 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 12.0728% — below the 15% mark we flag

    Aim Training
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.0443 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 33.5699% — below the 40% mark we flag

Spend your practice time on Inferno

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno4–13-0.0013%17 Sept
shelter12–12-0.0012%29 Aug
vertigo13–40.099%29 Aug
mirage13–80.049%29 Aug
cache13–11-0.028%29 Aug
dust213–70.0620%29 Aug
mirage10–130.0413%29 Aug
dust211–130.0310%25 Aug
cache12–120.026%25 Aug
mirage6–13-0.026%25 Aug
nuke3–13-0.030%25 Aug
mirage13–11-0.0320%27 Jul
anubis12–120.0018%27 Jul
vertigo8–13-0.099%24 Jul
mirage9–130.0415%24 Jul
nuke11–13-0.0313%24 Jul
dust212–12-0.0123%24 Jul
dust25–13-0.0412%24 Jul
mirage4–13-0.104%23 Jul
cache13–8-0.088%23 Jul
mirage0–13-0.160%23 Jul
cache1–13-0.0322%23 Jul
anubis13–100.0111%23 Jul
dust213–80.1110%23 Jul
overpass13–11-0.0010%23 Jul
inferno8–13-0.0017%23 Jul
mirage7–13-0.0111%23 Jul
cache10–13-0.0111%23 Jul
vertigo13–10-0.0016%22 Jul
nuke13–20.0911%22 Jul
anubis4–13-0.0321%22 Jul
dust24–130.0224%22 Jul
nuke13–20.137%22 Jul
mirage10–130.0316%22 Jul
mirage11–13-0.027%21 Jul
office4–13-0.1010%20 Jul
vertigo13–10-0.0311%20 Jul
nuke11–130.038%19 Jul
dust28–130.0413%19 Jul
cache2–13-0.0315%18 Jul
mirage13–10.0919%18 Jul
inferno12–12-0.019%18 Jul
mirage12–120.0615%18 Jul
nuke3–13-0.0119%18 Jul
inferno13–30.079%6 May
dust213–8-0.0610%4 May
vertigo3–130.0317%1 May
office9–13-0.0213%1 May
mirage5–130.1421%29 Apr
train4–13-0.0917%29 Apr
cache12–12-0.0512%28 Apr
mirage7–13-0.095%27 Apr
vertigo13–100.0113%27 Apr
nuke6–13-0.0117%27 Apr
office4–13-0.0514%27 Apr
nuke13–90.0613%27 Apr
nuke1–13-0.0526%25 Apr
dust213–11-0.0415%25 Apr
ancient12–12-0.0512%25 Apr
mirage13–11-0.0222%25 Apr
nuke8–130.0218%9 Apr
inferno13–40.0813%9 Apr
vertigo12–120.0610%9 Apr
mirage13–4-0.044%2 Apr
office13–6-0.1110%2 Apr
dust25–13-0.0613%2 Apr
dust211–13-0.083%20 Mar
inferno6–13-0.0719%15 Mar
overpass13–8-0.0114%14 Mar
nuke9–13-0.045%13 Mar
mirage10–130.0114%1 Feb
inferno6–13-0.022%28 Jan
dust213–4-0.026%27 Jan
nuke13–50.0611%9 Nov
mirage8–13-0.0310%9 Nov
inferno4–130.0210%9 Nov
dust213–30.0612%9 Nov
nuke13–8-0.0018%30 Oct
vertigo7–13-0.0314%15 Aug
dust213–11-0.0317%15 Aug
inferno5–13-0.0315%18 Jun
vertigo7–130.0217%27 Apr
inferno11–130.0618%27 Apr
mirage13–30.039%27 Apr
office13–8-0.0112%20 Apr
vertigo12–12-0.028%15 Apr
ancient3–13-0.0413%6 Apr
vertigo10–13-0.0611%6 Apr
mirage4–13-0.0212%6 Apr
vertigo3–130.0110%5 Apr
mirage13–110.0110%5 Apr
overpass5–13-0.038%1 Apr
dust26–13-0.0414%30 Mar
inferno13–80.086%30 Mar
train10–13-0.039%29 Mar
dust213–20.0311%29 Mar
mirage11–13-0.039%27 Mar
nuke0–13-0.0911%27 Mar
dust213–40.0424%23 Mar
nuke6–13-0.0210%22 Mar

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 →