POWDER.RANGERS

POWDER.RANGERS — CS2 Stats

76561199879479293[U:1:1919213565]Steam profile ↗✓ No bans

1,714Tracked matches63%Win rate2025Tracked since
781Hours in CS
CSDB Rating6.4 SolidClutch Specialist
Premier CS Rating10,289Blue band · top ~53.4% of ranked players (population est.)
FaceitLevel 2 · 754 ELOTop 97.9% of ranked FACEIT players
WingmanSilver Elite Master
Ladder ranks via Leetify

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CSDB.GGPOWDER.RANGERSFACEITLevel 2 · 754 ELOSTANDINGTop 97.9% of rankedPREMIER10,289 · Blue bandcsdb.gg/stats

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Performance scores

Aim71
Positioning63
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY49–49–2Last 10049%Win rateLWWLWWLLWW

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · +2.3pp headshot accuracy · −4ms reaction

Win rate up 20pp 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 (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 27%
  • Avg reaction 617ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 29%
  • Avg reaction 614ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 28%
  • Avg reaction 616ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.8 against its own average).

Aim7.1
Utility5.2
Positioning6.3
Opening Duels3.7
Clutch7.4

Reliable in 1v1s

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 85% playstyle similarity

Most alike: positioning profile, 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. 608ms 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

Aim7.1
Positioning6.3
Utility5.2
Mechanics6.8
Opening Duels5.8
Win Impact9.4

Composite 6.4/10 (Solid), 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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time610ms+18ms
first ⅓ avg 592ms → last ⅓ avg 610ms
Headshot accuracy27.0%+1.0%
first ⅓ avg 26.0% → last ⅓ avg 27.0%

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

0.25Best match rating · 13–7 · ancient, 9 Nov →
60%Best headshot accuracy · 5–1 · inferno, 8 Oct →
344msFastest reaction time · 5–1 · inferno, 8 Oct →
13–0Biggest win · mirage, 1 Nov →

Across the last 100 tracked matches.

Highlights

11Longest win streak
8–6In matches decided by ≤2 rounds
6Overtime games

Map breakdown

infernoBest map · 60% over 10nukeWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
mirageA2916–1355%0.02
nukeD155–1033%0.01
dust2C135–838%0.02
cacheA116–555%-0.01
anubisB115–645%0.02
ancientB105–550%0.03
infernoA106–460%-0.02
office—11–0100%0.10

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

32,542Lifetime kills
0.96K/D
1,982Matches
43.5%Match win rate
49.2%Headshot %
0.0%Shot accuracy
4,557MVPs
781Hours (in match)
2,541Bombs planted
612Bombs defused

Most-used weapons

AK-4710,192
AWP3,609
MAC-101,440
P901,401
MP91,055

Lifetime map wins

3,711dust2
3,075nuke
2,583inferno
204train
89vertigo
79office
5ar_shoots
4ar_baggage

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

Faceit stats

Combat

40Matches
38%Win rate
0.97Avg K/D
75.5ADR
57%Headshot %

Clutches & streaks

57%1v1 clutch win
18%1v2 clutch win
3Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Dust21145%0.9814.6
Mirage825%0.8011.6
Inferno650%1.0518.0
Ancient520%0.7913.6
Anubis367%1.8519.7
Nuke333%0.9917.3
Cache20%0.4310.0
Vertigo10%0.8916.0

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.

27.3%Headshot accuracy
33.1%Accuracy (enemy spotted)
27.6%Spray accuracy
80.7%Counter-strafing
9.9°Preaim
608msReaction time
54.5%T opening success
51.8%CT opening success
0.53Enemies flashed / flash
8.4%Flash assists
8.26HE damage / grenade
10.36Flashes / match

Recommended for you

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.

33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient3–13-0.0831%15 Nov →
cache16–12-0.1024%14 Nov →
mirage13–100.0525%14 Nov →
cache11–13-0.0030%14 Nov →
dust213–10-0.0524%14 Nov →
mirage13–6-0.0242%14 Nov →
nuke3–130.0136%13 Nov →
mirage8–130.0229%13 Nov →
nuke13–110.0520%13 Nov →
nuke13–50.0226%13 Nov →
ancient13–10-0.0033%12 Nov →
nuke10–13-0.0237%12 Nov →
inferno11–13-0.0433%12 Nov →
mirage10–13-0.0333%12 Nov →
mirage16–13-0.0232%11 Nov →
anubis8–130.0319%10 Nov →
dust212–160.0125%10 Nov →
mirage5–130.0129%10 Nov →
ancient13–9-0.0320%10 Nov →
ancient13–30.063%9 Nov →
dust216–120.0621%9 Nov →
ancient13–70.2527%9 Nov →
cache12–120.0625%9 Nov →
inferno13–60.0315%9 Nov →
office13–80.1031%9 Nov →
ancient13–50.0428%7 Nov →
inferno13–11-0.0434%6 Nov →
mirage13–110.1626%6 Nov →
dust213–70.0829%6 Nov →
nuke3–130.0736%6 Nov →
dust211–130.1323%5 Nov →
nuke5–13-0.0530%5 Nov →
mirage2–8-0.1018%5 Nov →
nuke11–13-0.0123%5 Nov →
ancient10–130.1428%5 Nov →
inferno13–9-0.0227%5 Nov →
anubis13–50.0721%5 Nov →
cache7–130.0223%2 Nov →
mirage13–70.117%2 Nov →
mirage6–13-0.0317%2 Nov →
mirage4–13-0.0320%2 Nov →
nuke13–100.0625%2 Nov →
anubis3–13-0.065%1 Nov →
dust213–80.0427%1 Nov →
ancient7–130.0115%1 Nov →
cache13–110.0118%1 Nov →
mirage13–00.0919%1 Nov →
mirage13–11-0.0526%1 Nov →
mirage9–130.1123%1 Nov →
nuke10–13-0.0528%1 Nov →
mirage13–80.0620%1 Nov →
inferno1–13-0.0121%31 Oct →
cache13–5-0.0121%31 Oct →
nuke7–130.0320%31 Oct →
anubis13–90.0520%31 Oct →
mirage13–60.0217%31 Oct →
cache3–130.0022%31 Oct →
cache8–13-0.0812%30 Oct →
mirage13–90.0325%30 Oct →
mirage8–13-0.0321%30 Oct →
cache13–110.0231%30 Oct →
anubis13–80.0621%30 Oct →
cache13–10-0.0318%29 Oct →
dust213–11-0.0526%29 Oct →
nuke7–13-0.0017%29 Oct →
dust29–13-0.0515%29 Oct →
anubis13–60.0723%29 Oct →
anubis7–130.0022%29 Oct →
nuke13–60.0226%28 Oct →
mirage13–100.0727%28 Oct →
mirage13–10-0.0824%28 Oct →
nuke13–10-0.0227%28 Oct →
mirage13–40.0412%28 Oct →
mirage13–30.0325%28 Oct →
anubis5–13-0.0617%27 Oct →
mirage1–13-0.0417%27 Oct →
anubis2–13-0.0819%27 Oct →
dust20–13-0.0819%27 Oct →
ancient2–13-0.0314%25 Oct →
dust28–130.0217%23 Oct →
cache7–13-0.0324%22 Oct →
ancient7–13-0.0639%13 Oct →
dust215–150.0440%12 Oct →
inferno5–13-0.0620%12 Oct →
inferno13–5-0.0029%12 Oct →
mirage8–130.0632%11 Oct →
inferno13–60.0946%11 Oct →
mirage13–50.1727%11 Oct →
anubis13–80.1131%11 Oct →
dust27–130.0222%11 Oct →
mirage9–13-0.0131%9 Oct →
nuke12–120.0553%8 Oct →
dust25–50.0324%8 Oct →
inferno5–1-0.0760%8 Oct →
mirage14–160.0623%6 Oct →
anubis9–130.0628%6 Oct →
mirage6–130.0417%6 Oct →
mirage13–10-0.0321%5 Oct →
inferno4–13-0.0715%5 Oct →
nuke10–130.019%5 Oct →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches11-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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