FAstANdFirm2

FAstANdFirm2 — CS2 Stats

BA76561198880784703[U:1:920518975]Steam profile ↗✓ No bans

1,858Tracked matches41%Win rate2020Tracked since
2,358Hours in CS
CSDB Rating4.4 DevelopingPositional Player
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGFAstANdFirm2FACEITLevel 10STANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim49
Positioning48
Utility40

0–100 skill scores via Leetify.

Recent form

COLD49–46–5Last 10049%Win rateLWLLWLLLWL

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · −3.5pp headshot accuracy · +48ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 739ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 670ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 646ms

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 (+0.9 against its own average).

Aim4.9
Utility4.0
Positioning4.8
Opening Duels3.3
Clutch3.4

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

jL

Plays most like jL 88% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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. 643ms 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

Aim4.9
Positioning4.8
Utility4.0
Mechanics6.0
Opening Duels2.3
Win Impact1.9

Composite 4.4/10 (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 rating0.01−0.05
first ⅓ avg 0.06 → last ⅓ avg 0.01
Reaction time640ms+15ms
first ⅓ avg 625ms → last ⅓ avg 640ms
Headshot accuracy15.3%−2.1%
first ⅓ avg 17.4% → last ⅓ avg 15.3%

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

0.19Best match rating · 13–3 · overpass, 16 Mar →
50%Best headshot accuracy · 1–4 · mirage, 1 Sept →
430msFastest reaction time · 1–4 · mirage, 1 Sept →
13–1Biggest win · mirage, 22 Apr →

Across the last 100 tracked matches.

Highlights

8Longest win streak
9–5In matches decided by ≤2 rounds
13Overtime games

Map breakdown

dust2Best map · 58% over 12infernoWeakest map · 44% over 9
MapGradePlayedRecordWin rateAvg rating
mirageB4020–2050%0.04
dust2A127–558%0.02
overpassB105–550%0.04
nukeB105–550%-0.00
infernoC94–544%-0.01
anubisB63–350%0.01
vertigo—42–250%0.06
ancient—31–233%-0.02
cache—20–20%-0.05
office—21–150%0.02
train—21–150%-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

112,551Lifetime kills
1.08K/D
4,402Matches
48.3%Match win rate
37.6%Headshot %
16.8%Shot accuracy
14,836MVPs
2,358Hours (in match)
3,601Bombs planted
1,405Bombs defused

Most-used weapons

AK-4737,619
AWP9,472
SG 5535,693
Knife3,491
MAC-103,238
AUG2,787

Lifetime map wins

6,063train
4,412inferno
3,307dust2
2,364nuke
1,214vertigo
65office
10lake
1ar_monastery

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

Faceit stats

Combat

3,796Matches
50%Win rate
1.21Avg K/D
86.8ADR
36%Headshot %

Clutches & streaks

37%1v1 clutch win
19%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage28561%1.5520.5
Dust27740%1.0616.2
Inferno7338%1.1116.9
Nuke6538%1.1017.2
Anubis6349%1.2017.1
Ancient2836%0.9715.5
Vertigo2520%1.2419.9
Overpass2528%1.0417.4

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.

16.1%Headshot accuracy
30.6%Accuracy (enemy spotted)
33.0%Spray accuracy
76.8%Counter-strafing
10.1°Preaim
643msReaction time
37.2%T opening success
41.2%CT opening success
0.31Enemies flashed / flash
8.2%Flash assists
12.05HE damage / grenade
7.88Flashes / 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. 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 0.3131 — below the 0.5 mark we flag

    Grenade Lineups →
  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 37.2221% — 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.

44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage11–13-0.0316%20 Jul →
dust213–100.047%20 Jul →
mirage3–13-0.0912%20 Jul →
inferno13–16-0.0813%19 Jul →
mirage13–20.1321%19 Jul →
cache0–13-0.060%19 Jul →
mirage9–13-0.0316%17 Jul →
cache5–13-0.049%16 Jul →
dust213–8-0.0024%16 Jul →
mirage6–13-0.0421%15 Jul →
mirage16–12-0.0510%15 Jul →
mirage11–13-0.0535%10 Jan →
mirage13–100.0518%20 Nov →
overpass7–13-0.0210%20 Nov →
mirage12–120.0317%18 Nov →
mirage6–50.1014%16 Nov →
mirage11–130.0214%9 Nov →
mirage13–7-0.0118%9 Nov →
office5–13-0.0128%1 Nov →
mirage8–13-0.0810%1 Nov →
mirage13–90.0514%31 Oct →
mirage13–60.1116%31 Oct →
vertigo12–12-0.0028%31 Oct →
office13–20.0422%25 Oct →
anubis11–13-0.0111%18 Oct →
mirage13–50.1022%18 Oct →
nuke9–130.0417%8 Oct →
dust215–15-0.0118%8 Oct →
mirage8–130.0813%4 Oct →
mirage9–130.096%26 Sept →
overpass16–130.0310%24 Sept →
mirage6–130.007%13 Sept →
train8–13-0.058%13 Sept →
ancient4–13-0.0512%12 Sept →
dust24–13-0.0113%6 Sept →
mirage1–40.0150%1 Sept →
mirage13–100.0219%1 Sept →
mirage13–90.0113%20 Aug →
inferno4–13-0.0716%16 Aug →
overpass13–40.0210%16 Aug →
dust213–90.0520%16 Aug →
mirage13–30.068%16 Aug →
mirage5–130.0229%13 Aug →
nuke13–50.017%13 Aug →
dust28–130.0519%9 Aug →
overpass6–130.0616%9 Aug →
mirage8–13-0.0220%2 Aug →
train13–7-0.0522%29 Jul →
nuke13–10-0.0215%29 Jul →
dust213–40.0118%29 Jul →
overpass9–130.008%24 Jul →
overpass13–6-0.049%22 Jul →
overpass6–13-0.077%22 Jul →
mirage16–13-0.0117%8 Jul →
inferno7–13-0.0413%24 Jun →
nuke17–19-0.0413%18 Jun →
inferno13–100.0114%17 Jun →
dust216–140.0219%14 Jun →
nuke9–13-0.059%30 May →
inferno7–130.0317%24 May →
dust27–13-0.0815%12 Apr →
dust28–13-0.0010%27 Mar →
inferno13–16-0.018%10 Mar →
mirage7–130.0114%9 Mar →
inferno13–6-0.0026%9 Mar →
anubis7–13-0.0211%1 Mar →
ancient5–13-0.0215%23 Feb →
dust213–90.1013%8 Feb →
nuke16–12-0.0014%26 Jan →
ancient13–110.0112%26 Jan →
anubis13–90.0611%23 Jan →
anubis13–80.0516%29 Dec →
mirage9–130.0114%3 Dec →
anubis10–13-0.0410%3 Dec →
nuke13–7-0.0438%4 Nov →
mirage13–30.0520%4 Nov →
mirage10–13-0.079%13 Sept →
anubis19–17-0.0015%14 Jul →
inferno13–110.0121%25 Jun →
mirage13–70.1411%17 Jun →
mirage13–90.0711%13 Jun →
vertigo10–130.1015%8 Jun →
mirage8–130.017%2 Jun →
nuke1–9-0.0414%29 May →
mirage13–40.1112%27 May →
mirage12–120.0818%24 May →
nuke13–110.0617%17 May →
nuke13–160.0418%13 May →
overpass13–160.0923%24 Apr →
mirage13–10.1019%22 Apr →
dust213–20.0723%5 Apr →
overpass13–80.1014%1 Apr →
vertigo13–70.0325%1 Apr →
mirage16–140.1118%21 Mar →
vertigo13–110.1227%17 Mar →
overpass13–30.1916%16 Mar →
inferno13–110.0820%15 Mar →
mirage12–120.0122%3 Mar →
mirage13–100.1619%2 Mar →
mirage13–50.1432%2 Mar →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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