Jamo

Jamo — CS2 Stats

KI76561198043262749[U:1:82997021]Steam profile ↗✓ No bans

1,543Tracked matches50%Win rate2020Tracked since
CSDB Rating6.1 SolidPositional Player
FaceitLevel 10 · 2,446 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Nov 2026 (7 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,543 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 21,738 +1,739 25 Sept – 30 Nov · 7 days played
19,99921,738peak 21,73825 Sept30 Nov
Faceit ELO: 2,446 +0 5 Sept – 7 Nov · 4 observations
2,4462,446peak 2,4465 Sept7 Nov
21,738Peak Premier in tracked matches
2,446Highest Faceit ELO seen on CSDB
74Days played since 2025-01-21

Faceit ELO

  • At peak — 2,446
  • Next: 2,500 ELO at 2,500 — 54 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-05
  • Level 9 first seen 2026-09-05

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGJamoFACEITLevel 10 · 2,446 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,446csdb.gg/stats

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Performance scores

Aim62
Positioning72
Utility65

0–100 skill scores via Leetify.

Recent form

STEADY55–43–2Last 10055%Win rateLLLWWWLWLL

Last 10 vs previous 10: −10pp win rate · +0.00 avg rating · −1.2pp headshot accuracy · +18ms 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 18%
  • Avg reaction 558ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 567ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 558ms

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 (+1.4 against its own average).

Aim6.2
Utility6.5
Positioning7.2
Opening Duels5.7
Clutch4.0

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 79% 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. 557ms 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
Positioning7.2
Utility6.5
Mechanics6.1
Opening Duels4.3
Win Impact5.0

Composite 6.1/10 (Solid), 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 rating0.01−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time559ms−48ms
first ⅓ avg 608ms → last ⅓ avg 559ms
Headshot accuracy16.9%−5.7%
first ⅓ avg 22.6% → last ⅓ avg 16.9%

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 · 13–6 · mirage, 20 Aug →
44%Best headshot accuracy · 6–13 · office, 25 Apr →
391msFastest reaction time · 0–8 · dust2, 27 Aug →
13–1Biggest win · mirage, 23 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
9–8In matches decided by ≤2 rounds
6Overtime games

Map breakdown

ancientBest map · 75% over 12dust2Weakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
mirageB2614–1254%0.02
ancientS129–375%0.03
anubisA117–464%0.00
dust2C114–736%0.01
infernoA106–460%0.00
nukeA95–456%0.02
overpassC73–443%0.02
trainA74–357%-0.00
office—31–233%0.03
cache—10–10%-0.02
vertigo—10–10%0.01
grail—11–0100%0.04
basalt—11–0100%0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,090Matches
51%Win rate
1.13Avg K/D
79.6ADR
43%Headshot %

Clutches & streaks

40%1v1 clutch win
25%1v2 clutch win
12Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage38050%1.1216.0
Ancient21251%1.1016.1
Dust218547%1.1216.2
Anubis14348%1.1416.4
Nuke12252%1.0815.4
Inferno10450%1.2016.6
Overpass6346%1.1417.0
Train4146%1.1016.6

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.

16.5%Headshot accuracy
33.0%Accuracy (enemy spotted)
34.4%Spray accuracy
77.4%Counter-strafing
10.5°Preaim
557msReaction time
42.3%T opening success
52.2%CT opening success
0.69Enemies flashed / flash
8.9%Flash assists
9.86HE damage / grenade
12.29Flashes / 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.

36% win rate across 11 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
cache7–12-0.0217%9 Jul →
mirage9–130.0021%31 Mar →
mirage11–13-0.0418%30 Mar →
mirage12–60.0217%24 Mar →
ancient13–11-0.0018%22 Mar →
anubis13–80.059%21 Mar →
mirage3–130.0332%15 Mar →
anubis13–60.000%13 Mar →
nuke10–130.0115%13 Mar →
anubis10–13-0.0014%11 Mar →
overpass11–13-0.0420%11 Mar →
anubis13–11-0.0810%28 Feb →
ancient13–80.0424%18 Feb →
anubis5–13-0.039%3 Feb →
dust210–130.0226%2 Feb →
mirage9–130.0522%29 Jan →
anubis13–100.0213%21 Jan →
mirage5–13-0.0220%16 Jan →
anubis13–40.0613%11 Jan →
nuke13–100.0116%9 Jan →
mirage10–13-0.0210%6 Jan →
inferno10–130.0215%30 Dec →
mirage13–90.0421%29 Dec →
ancient13–3-0.0319%12 Dec →
ancient13–50.0614%11 Dec →
dust211–130.0211%10 Dec →
overpass10–130.0412%8 Dec →
dust213–10-0.0019%8 Dec →
nuke13–20.0320%4 Dec →
inferno13–9-0.0623%30 Nov →
train13–60.0313%24 Nov →
train13–6-0.0018%24 Nov →
mirage11–130.0330%22 Nov →
mirage6–13-0.038%21 Nov →
inferno13–80.0020%21 Nov →
mirage16–14-0.0115%17 Nov →
inferno7–13-0.0115%2 Nov →
ancient19–170.1021%27 Oct →
nuke13–110.0317%27 Oct →
nuke5–6-0.0121%24 Oct →
ancient5–110.0426%24 Oct →
mirage13–10.1238%23 Oct →
dust29–130.0627%20 Oct →
anubis6–130.0718%19 Oct →
mirage13–8-0.0013%17 Oct →
train5–13-0.0224%16 Oct →
mirage3–100.0212%14 Oct →
mirage13–100.0317%14 Oct →
overpass13–20.0326%10 Oct →
dust213–70.0431%9 Oct →
ancient11–13-0.0113%9 Oct →
overpass15–15-0.0222%9 Oct →
train13–8-0.0127%7 Oct →
nuke13–70.0729%6 Oct →
office13–10.1018%1 Oct →
ancient13–40.0015%30 Sept →
office12–12-0.0134%25 Sept →
mirage13–90.0329%25 Sept →
overpass13–40.0816%25 Sept →
train3–130.0218%22 Sept →
vertigo8–130.0113%22 Sept →
ancient8–13-0.0111%21 Sept →
inferno13–100.0327%21 Sept →
mirage6–13-0.0318%18 Sept →
mirage13–30.1035%18 Sept →
ancient13–80.0730%17 Sept →
mirage3–130.0427%17 Sept →
ancient11–40.0121%17 Sept →
nuke6–130.0432%5 Sept →
inferno10–130.0113%3 Sept →
mirage13–80.0528%2 Sept →
grail13–80.0426%31 Aug →
overpass13–10.0632%27 Aug →
mirage12–4-0.0515%27 Aug →
dust20–8-0.0327%27 Aug →
inferno13–90.0020%25 Aug →
dust213–110.0214%25 Aug →
mirage6–13-0.0526%25 Aug →
train13–90.0113%24 Aug →
mirage13–60.1419%20 Aug →
overpass7–13-0.0021%20 Aug →
dust214–16-0.0621%9 Jun →
anubis16–14-0.0013%2 Jun →
ancient13–10.0438%19 May →
dust213–16-0.0128%17 May →
nuke3–13-0.0221%17 May →
nuke13–100.0510%7 May →
office6–130.0144%25 Apr →
basalt13–50.0238%25 Apr →
mirage13–6-0.0013%11 Apr →
dust213–110.0129%4 Apr →
mirage13–80.0629%4 Apr →
anubis11–13-0.0319%20 Mar →
inferno4–13-0.0226%9 Mar →
mirage13–30.1115%8 Mar →
anubis13–7-0.0112%28 Feb →
inferno13–40.0411%3 Feb →
train4–13-0.0626%30 Jan →
inferno13–110.0320%30 Jan →
dust24–130.0228%21 Jan →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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