blastoise

blastoise — CS2 Stats

76561198981815156[U:1:1021549428]Steam profile ↗✓ No bans

3,062Tracked matches46%Win rate2020Tracked since
6,161Hours in CS
CSDB Rating5.2 DevelopingHybrid Rifler
FaceitLevel 7 · 1,507 ELOTop 42.3% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=1,022), 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 7 medianLevel 8 medianvs Level 8
Headshot rate59.8%46.2%47.2%above
Shot accuracy11.9%12.5%12.3%0.5% short
Kill/death ratio0.991.061.070.08 short
Match win rate43.9%45.9%46.3%2.4% short

This profile matches the typical Level 8 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGblastoiseFACEITLevel 7 · 1,507 ELOSTANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim63
Positioning47
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY47476Last 10047%Win rateLWWLLLWLLW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.3
Aggression6.3
Utility5.4
Positioning4.7
Opening Duels2.2
Clutch4.6

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Twistzz

Plays most like Twistzz 87% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; 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. 720ms 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

Aim6.3
Positioning4.7
Utility5.4
Mechanics8.3
Opening Duels2.2
Win Impact3.8

Composite 5.2/10 (Developing), 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 rating-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time720ms+77ms
first ⅓ avg 642ms → last ⅓ avg 720ms
Headshot accuracy22.0%+1.7%
first ⅓ avg 20.3% → last ⅓ avg 22.0%

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.

Highlights

0.14Best rating — inferno 13–4
132Biggest win — dust2
6Longest win streak
45In matches decided by ≤2 rounds
5Overtime games

Map breakdown

infernoBest map · 63% over 16mirageWeakest map · 29% over 17
MapGradePlayedRecordWin rateAvg rating
dust2C1871139%0.01
mirageD1751229%-0.03
cacheB168850%0.03
infernoA1610663%0.02
anubisA138562%0.01
overpassC94544%-0.02
ancientA53260%0.02
nuke32167%-0.02
train3030%-0.02

Across the last 100 tracked matches.

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

Lifetime stats

203,629Lifetime kills
0.99K/D
7,808Matches
43.9%Match win rate
59.8%Headshot % · Top 10% of Level 7 players
11.9%Shot accuracy
22,383MVPs
6,161Hours (in match)
4,262Bombs planted
5,315Bombs defused

Most-used weapons

AK-4797,397
AWP13,451
FAMAS2,987
SSG 082,128
Knife1,851

Lifetime map wins

15,847dust2
15,695inferno
5,332nuke
4,505vertigo
3,197train
237cbble
34office
29italy

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

Faceit stats

Combat

1,296Matches
51%Win rate
1.15Avg K/D
74.2ADR
47%Headshot %

Clutches & streaks

43%1v1 clutch win
15%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage5845%1.0414.7
Ancient4648%1.0816.1
Inferno3447%1.2215.7
Anubis3040%1.1817.3
Vertigo2148%1.1717.9
Overpass1759%1.2616.2
Nuke1127%0.8915.3
Dust2757%1.2415.4

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.

22.8%Headshot accuracy
32.2%Accuracy (enemy spotted)
31.4%Spray accuracy
87.4%Counter-strafing
9.4°Preaim
720msReaction time
36.8%T opening success
40.8%CT opening success
0.61Enemies flashed / flash
6.5%Flash assists
7.18HE damage / grenade
9.55Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 720.0443ms — above the 700ms mark we flag

    Aim Training
  2. 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 36.8307% — below the 40% mark we flag

Spend your practice time on Mirage

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.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke7–13-0.0122%13 Aug
mirage13–50.0611%13 Aug
anubis13–9-0.0120%11 Aug
anubis11–13-0.0515%9 Aug
mirage8–13-0.0518%9 Aug
train7–130.0619%8 Aug
cache13–40.0025%7 Aug
inferno9–130.0216%6 Aug
cache8–130.0915%1 Aug
cache16–14-0.0220%1 Aug
mirage7–13-0.0417%30 Jul
inferno13–5-0.0015%30 Jul
inferno13–9-0.0138%30 Jul
overpass12–12-0.0716%30 Jul
dust26–13-0.0027%29 Jul
overpass3–13-0.0620%29 Jul
cache9–13-0.0621%24 Jul
anubis13–60.0442%24 Jul
dust211–130.0418%24 Jul
dust27–13-0.0024%24 Jul
inferno13–90.0224%23 Jul
dust212–120.0225%23 Jul
inferno5–13-0.0248%23 Jul
anubis13–30.0726%23 Jul
dust213–10-0.0431%22 Jul
train5–13-0.0824%22 Jul
mirage8–13-0.0528%21 Jul
cache13–70.1116%21 Jul
inferno13–50.0322%21 Jul
dust213–80.0525%21 Jul
dust26–13-0.0316%21 Jul
ancient3–13-0.043%19 Jul
anubis4–130.0219%19 Jul
dust210–130.0224%19 Jul
ancient13–60.0429%18 Jul
mirage6–13-0.0818%18 Jul
cache16–14-0.0416%18 Jul
mirage13–110.0531%18 Jul
cache9–130.0021%18 Jul
overpass13–8-0.0026%18 Jul
anubis13–60.0726%18 Jul
mirage12–12-0.0027%18 Jul
dust27–13-0.0216%18 Jul
mirage8–13-0.0726%18 Jul
dust213–6-0.0324%18 Jul
mirage12–16-0.0522%15 Jul
cache13–70.0027%15 Jul
cache9–130.0131%6 Jul
inferno9–130.0315%13 May
mirage7–13-0.0711%13 May
dust213–20.0519%13 May
cache13–40.0830%11 May
overpass3–13-0.0720%11 May
mirage12–12-0.0324%10 May
inferno13–40.1427%10 May
inferno13–90.0433%9 May
dust213–60.0428%9 May
cache3–130.0127%9 May
cache13–40.0619%6 May
cache12–120.1224%6 May
cache10–130.0426%4 May
cache13–60.0422%4 May
cache12–12-0.0323%29 Apr
overpass11–13-0.0720%28 Apr
nuke13–9-0.0421%28 Apr
train5–13-0.0317%27 Apr
overpass13–9-0.0423%27 Apr
inferno11–130.0620%26 Apr
dust26–13-0.0223%26 Apr
mirage13–70.0123%25 Apr
anubis13–80.0222%25 Apr
ancient13–100.0519%25 Apr
dust26–130.0424%25 Apr
anubis1–13-0.110%22 Apr
overpass13–90.1225%20 Apr
overpass8–13-0.0124%19 Apr
anubis13–50.0618%19 Apr
mirage8–13-0.1013%19 Apr
inferno13–90.0723%30 Mar
mirage6–13-0.0920%30 Mar
inferno13–9-0.0026%30 Mar
overpass16–130.0219%29 Mar
inferno13–40.0121%29 Mar
nuke13–90.0024%29 Mar
anubis13–50.0426%29 Mar
dust213–5-0.0125%29 Mar
anubis5–130.0314%26 Mar
ancient6–130.0626%26 Mar
mirage16–140.0318%26 Mar
dust211–130.0224%25 Mar
inferno10–13-0.0119%22 Mar
mirage10–130.0323%22 Mar
ancient13–40.0111%22 Mar
anubis13–50.0419%22 Mar
dust213–100.0122%22 Mar
inferno10–13-0.0219%22 Mar
anubis6–13-0.0313%18 Mar
mirage13–8-0.0121%18 Mar
inferno13–70.0024%18 Mar
dust25–13-0.0424%18 Mar

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 →